SlideShare a Scribd company logo
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014
1
Pseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and
Bipolar Anti-Fuzzy HX Subgroups
R.Muthuraj1
and M.Sridharan2
1
PG & Research Department of Mathematics, H.H.The Rajah’s College,
Pudukkottai – 622 001, Tamilnadu, India.
2
Department of Mathematics, PSNA College of Engineering and Technology,
Dindigul-624 622, Tamilnadu , India.
ABSTRACT
In this paper, we introduce the concept of pseudo bipolar fuzzy cosets, pseudo bipolar fuzzy double cosets
of a bipolar fuzzy and bipolar anti-fuzzy subgroups. We also establish these concepts to bipolar fuzzy and
bipolar anti-fuzzy HX subgroups of a HX group with suitable examples. Also we discuss some of their
relative properties.
KEYWORDS
bipolar fuzzy set, bipolar fuzzy subgroup, bipolar anti-fuzzy subgroup, pseudo bipolar fuzzy cosets, pseudo
bipolar fuzzy double cosets , bipolar fuzzy HX subgroup , bipolar anti-fuzzy HX subgroup.
1. INTRODUCTION
The notion of fuzzy sets was introduced by L.A. Zadeh [15]. Fuzzy set theory has been developed
in many directions by many researchers and has evoked great interest among mathematicians
working in different fields of mathematics. In 1971, Rosenfeld [12] introduced the concept of
fuzzy subgroup. R. Biswas [1] introduced the concept of anti fuzzy subgroup of group. Li
Hongxing [2] introduced the concept of HX group and the authors Chengzhong et al.[4]
introduced the concept of fuzzy HX group. Palaniappan.N. et al.[12] discussed the concepts of
anti-fuzzy group and its Lower level subgroups. Muthuraj.R.,et al.[7],[9] discussed the concepts
of bipolar fuzzy subgroups and bipolar anti fuzzy subgroups and also discussed bipolar fuzzy HX
subgroup and its level sub HX groups, bipolar anti-fuzzy HX subgroups and its lower level sub
HX groups. Bhattacharya [10] introduced fuzzy right coset and fuzzy left coset of a group. B.
Vasantha kandasamy [14] introduced the concept of pseudo fuzzy cosets, and pseudo fuzzy
double cosets of a fuzzy group of a group. In this paper we define the concept of pseudo bipolar
fuzzy cosets, pseudo bipolar fuzzy double cosets of bipolar fuzzy and bipolar anti-fuzzy
subgroups of a group. Also introduce the concept of pseudo bipolar fuzzy cosets and pseudo
bipolar fuzzy double cosets of bipolar fuzzy and bipolar anti-fuzzy HX subgroups of a HX group
and study some of their related properties.
2. PRELIMINARIES
In this section, we site the fundamental definitions that will be used in the sequel. Throughout this
paper, G = (G, *) is a group, e is the identity element of G, and xy, we mean x * y.
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014
2
2.1 Definition [15]
Let X be any non empty set. A fuzzy subset µ of X is a function µ: X → [0, 1].
2.2 Definition [1]
A fuzzy set µ on G is called fuzzy subgroup of G if for x, y ∈G,
i.µ(xy) ≥ min {µ(x), µ( y)}
ii.µ(x-1
) = µ(x).
2.3 Definition [1]
A fuzzy set µ on G is called an anti- fuzzy subgroup of G if for x, y ∈G,
i.µ(xy)≤ max {µ (x), µ(y)}
ii.µ(x-1
) = µ(x).
2.4 Definition [9]
Let G be a non-empty set. A bipolar-valued fuzzy set or bipolar fuzzy set µ in G is an object
having the form µ={〈x, µ+
(x), µ−
(x)〉 : x∈G} where µ+
: G → [0,1] and µ−
: G → [−1,0] are
mappings. The positive membership degree µ+
(x) denotes the satisfaction degree of an element x
to the property corresponding to a bipolar-valued fuzzy set µ ={〈x, µ+
(x), µ−
(x)〉: x∈G} and the
negative membership degree µ−
(x) denotes the satisfaction degree of an element x to some
implicit counter property corresponding to a bipolar-valued fuzzy set µ = {〈x, µ+
(x), µ−
(x) 〉 :
x∈G}. If µ+
(x) ≠ 0 and µ−
(x) = 0, it is the situation that x is regarded as having only positive
satisfaction for µ = {〈x, µ+
(x), µ−
(x)〉 : x∈G}. If µ+
(x) = 0 and µ−
(x) ≠ 0, it is the situation that x
does not satisfy the property of µ ={〈x, µ+
(x), µ−
(x)〉: x∈G}, but somewhat satisfies the counter
property of µ = {〈x, µ+
(x), µ−
(x)〉 : x∈G}. It is possible for an element x to be such that µ+
(x) ≠ 0
and µ−
(x) ≠ 0 when the membership function of property overlaps that its counter property over
some portion of G. For the sake of simplicity, we shall use the symbol µ = (µ+
,µ−
) for the bipolar-
valued fuzzy set µ = {〈x, µ+
(x), µ−
(x)〉: x∈G}.
2.5 Definition [9]
A bipolar-valued fuzzy set or bipolar fuzzy set µ = ( µ+
, µ−
) is called a bipolar fuzzy
subgroup of G if for x, y ∈G,
i. µ+
(xy) ≥ min {µ+
(x), µ+
(y)}
ii. µ−
(xy) ≤ max {µ−
(x), µ−
(y)}
iii. µ+
(x−1
) = µ+
(x) , µ−
(x−1
) = µ−
(x).
2.6 Definition [9]
A bipolar-valued fuzzy set or bipolar fuzzy set µ = ( µ+
, µ−
) is called a bipolar anti-fuzzy
subgroup of G if for x, y ∈ G,
i.µ+
(xy) ≤ max {µ+
(x), µ+
(y)}
ii.µ−
(xy) ≥ min {µ−
(x), µ−
(y)}
iii.µ+
(x−1
) = µ+
(x) , µ−
(x−1
) = µ−
(x).
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014
3
3. Pseudo Bipolar Fuzzy Cosets And Pseudo Bipolar Fuzzy Double
Cosets Of Bipolar Fuzzy And Bipolar Anti-Fuzzy Subgroups And
Their Properties:
In this section, we define the concepts of pseudo bipolar fuzzy cosets, pseudo bipolar fuzzy
double cosets of a bipolar fuzzy and bipolar anti-fuzzy subgroups of a group and discuss some of
their properties.
3.1 Definition
Let µ = (µ+
,µ−
) be a bipolar fuzzy subgroup of a group G and let a ∈ G. Then the pseudo bipolar
fuzzy coset (aµ)P
= (((aµ)P
)+
, ((aµ)P
) −
) is defined by
i.((aµ)P
)+
(x) = |p(a)| µ+
(x)
ii.((aµ)P
) −
(x) = |p(a)| µ−
(x) ,for every x ∈ G
and for some p∈P, where P = {p(x) / p(x)∈[−1,1] and p (x) ≠ 0 for all x ∈ G }.
3.2 Example
Let G be a Klein’s four group. Then G = {e,a,b,ab} where a2
= e = b2
, ab = ba and e is the identity
element of G. Define a bipolar fuzzy subset +
µ = (µ ,µ )-
on G as,
+
0.6 ,if x = e
µ (x) = 0.4 ,if x = a
0.3 ,if x = b,ab





0.7 , if x = e
µ (x) = 0.6 ,if x = a
0.4 ,if x = b,ab





-
-
-
-
Let us take p as follows
0.8 ,if x = e
0.6 ,if x = a
p(x) =
0.4 ,if x = b
0.3 ,if x = ab






Now we calculate the pseudo bipolar fuzzy coset of +
µ = (µ ,µ )-
.For the identity element e of
the group G, we have p
(eµ) = µ .
For the element a of G, we have
p + +
0.36 ,if x = e
((aµ) ) (x) = p(a) µ (x)= 0.24 ,if x = a
0.18 ,if x = b,ab





Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014
4
p
0.42 ,if x = e
((aµ) ) (x) = p(a) µ (x) = 0.36 ,if x = a
0.24 ,if x = b,ab





- -
-
-
-
For the element b of G, we have
p + +
0.24 ,if x = e
((bµ) ) (x) = p(b) µ (x) = 0.16 ,if x = a
0.12 ,if x = b,ab





p
0.28 ,if x = e
((bµ) ) (x) = p(b) µ (x) = 0.24 ,if x = a
0.16 ,if x = b,ab





- -
-
-
-
For the element ab of G, we have
p + +
0.18 ,if x = e
((abµ) ) (x) = p(ab) µ (x) = 0.12 ,if x = a
0.09 ,if x = b,ab





p
0.21 ,if x = e
((abµ) ) (x) = p(ab) µ (x) = 0.18 ,if x = a
0.12 ,if x = b,ab





- -
-
-
-
Note: The pseudo bipolar fuzzy cosets of +
µ = (µ ,µ )-
are bipolar fuzzy subgroups of G
since + +
µ (e) µ (x)≥ andµ (e) µ (x)≤- -
.
3.3 Definition
Let
+
µ = (µ ,µ )-
be a bipolar anti-fuzzy subgroup of a group G and let a ∈ G. Then the pseudo
bipolar fuzzy coset (aµ)P
= (((aµ)P
)+
, ((aµ)P
) −
) is defined by
i.((aµ)P
)+
(x) = |p(a)| µ+
(x)
ii.((aµ)P
) −
(x) = |p(a)| µ−
(x) , for every x ∈ G and for some
p ∈ P, Where P ={p(x) / p(x) ∈ [−1,1] and p(x) ≠ 0 for all x ∈ G}.
3.4 Example
Let G be a Klein’s four group. Then G = {e,a,b,ab} where a2
= e = b2
, ab = ba and e is the
identity element of G. Define a bipolar fuzzy subset
+
µ = (µ ,µ )-
on G as,
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014
5
+
0.3 ,if x = e
µ (x) = 0.5 ,if x = a
0.7 ,if x = b,ab





0.4 , if x = e
µ (x) = 0.6 ,if x = a
0.8 ,if x = b,ab





-
-
-
-
Clearly +
µ = (µ ,µ )-
is a bipolar anti-fuzzy subgroup of G.
Let us take p as follows
0.6 ,if x = e
0.5 ,if x = a
p(x) =
0.7 ,if x = b
0.8 ,if x = ab






-
-
-
-
Now we calculate the pseudo bipolar fuzzy coset of +
µ = (µ ,µ )-
.For the identity element e of
the group G ,we have p
(eµ) = µ .
For the element a of G, we have
p + +
0.15 ,if x = e
((aµ) ) (x) = p(a) µ (x) = 0.25 ,if x = a
0.35 ,if x = b,ab





p
0.20 ,if x = e
((aµ) ) (x) = p(a) µ (x) = 0.30 ,if x = a
0.40 ,if x = b,ab





- -
-
-
-
For the element b of G, we have
p + +
0.21 ,if x = e
((bµ) ) (x) = p(b) µ (x) = 0.35 ,if x = a
0.49 ,if x = b,ab





p
0.28 ,if x = e
((bµ) ) (x) = p(b) µ (x) = 0.42 ,if x = a
0.56 ,if x = b,ab





- -
-
-
-
For the element ab of G, we have
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014
6
p + +
0.24 ,if x = e
((abµ) ) (x) = p(ab) µ (x) = 0.4 ,if x = a
0.56 ,if x = b,ab





p
0.32 ,if x = e
((abµ) ) (x) = p(ab) µ (x) = 0.48 ,if x = a
0.64 ,if x = b,ab





- -
-
-
-
Note: The pseudo bipolar fuzzy cosets of +
µ = (µ ,µ )-
are bipolar anti-fuzzy subgroups
of G since + +
µ (e) µ (x)≤ andµ (e) µ (x)≥- -
.
3.5 Definition
Let µ and φ be any two bipolar fuzzy subgroups of a group G, then pseudo bipolar fuzzy double
coset (µaφ)p
is defined by
i. ((µaφ)p
)+
= ((aµ)p
∩ (aφ)p
)+
ii. ((µaφ)p
)−
= ((aµ)p
∩ (aφ)p
)−
where a∈G for some p∈P.
3.6 Example
Let G ={1, 1,i, i}- - be a group under the binary operation multiplication. Let bipolar fuzzy
subsets +
µ = (µ ,µ )-
and +
φ = (φ ,φ )-
on G are defined as,
+
0.7 ,if x =1
µ (x) = 0.6 ,if x = 1
0.4 ,if x = i, i





-
-
0.6 , if x =1
µ (x) = 0.4 ,if x = 1
0.3 ,if x = i, i





-
-
- -
- -
+
0.8 ,if x =1
φ (x) = 0.5 ,if x = 1
0.3 ,if x = i, i





-
-
0.7 , if x =1
φ (x) = 0.3 ,if x = 1
0.2 ,if x = i, i





-
-
- -
- -
Clearly
+
µ = (µ ,µ )-
and
+
φ = (φ ,φ )-
are bipolar fuzzy subgroups of G.
Let us take p as follows p(x) = − 0.3 for every x∈G, then the pseudo bipolar fuzzy cosets are,
p + +
0.21 ,if x =1
((aµ) ) (x) = p(a) µ (x)= 0.18 ,if x = 1
0.12 ,if x = i, i





-
-
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014
7
p
0.18 ,if x =1
((aµ) ) (x) = p(a) µ (x) = 0.12 ,if x = 1
0.09 ,if x = i, i





- -
-
- -
- -
p + +
0.24 ,if x =1
((aφ) ) (x) = p(a) φ (x)= 0.15 ,if x = 1
0.09 ,if x = i, i





-
-
p
0.21 ,if x =1
((aφ) ) (x) = p(a) φ (x) = 0.09 ,if x = 1
0.06 ,if x = i, i





- -
-
- -
- -
Now the pseudo bipolar fuzzy double cosets are
p +
0.21 ,if x =1
((µaφ) ) (x) = 0.15 ,if x = 1
0.09 ,if x = i, i





-
-
p
0.18 ,if x =1
((µaφ) ) (x) = 0.09 ,if x = 1
0.06 ,if x = i, i





-
-
- -
- -
3.7 Definition
Let µ and φ be any two bipolar anti-fuzzy subgroups of a group G, then pseudo bipolar fuzzy
double coset (µaφ)p
is defined by
i. ((µaφ)p
)+
= ((aµ)p
∩ (aφ)p
)+
ii. ((µaφ)p
)−
= ((aµ)p
∩ (aφ)p
)−
where a∈G for some p∈P.
3.8 Example
Let G ={1, 1,i, i}- - be a group under the binary operation multiplication. Define bipolar fuzzy
subsets +
µ = (µ ,µ )-
and +
φ = (φ ,φ )-
on G as,
+
0.4 ,if x =1
µ (x) = 0.6 ,if x = 1
0.7 ,if x = i, i





-
-
0.3 , if x =1
µ (x) = 0.4 ,if x = 1
0.6 ,if x = i, i





-
-
- -
- -
+
0.3 ,if x =1
φ (x) = 0.5 ,if x = 1
0.8 ,if x = i, i





-
-
0.2, if x =1
φ (x) = 0.5 ,if x = 1
0.7 ,if x = i, i





-
-
- -
- -
Clearly, +
µ = (µ ,µ )-
and +
φ = (φ ,φ )-
are bipolar anti-fuzzy subgroups of G.
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014
8
Let us take p as follows p(x) = 0.2 for every x∈G, then the pseudo bipolar fuzzy cosets are,
p + +
0.08 ,if x =1
((aµ) ) (x) = p(a) µ (x)= 0.12 ,if x = 1
0.14 ,if x = i, i





-
-
p
0.06 ,if x =1
((aµ) ) (x) = p(a) µ (x) = 0.08 ,if x = 1
0.12 ,if x = i, i





- -
-
- -
- -
p + +
0.06 ,if x =1
((aφ) ) (x) = p(a) φ (x) = 0.10 ,if x = 1
0.16 ,if x = i, i





-
-
p
0.04 ,if x =1
((aφ) ) (x) = p(a) φ (x) = 0.1 ,if x = 1
0.14 ,if x = i, i





- -
-
- -
- -
Now the pseudo bipolar fuzzy double cosets are
p +
0.08 ,if x =1
((µaφ) ) (x) = 0.12 ,if x = 1
0.16 ,if x = i, i





-
-
p
0.06 ,if x =1
((µaφ) ) (x) = 0.1 ,if x = 1
0.14 ,if x = i, i





-
-
- -
- -
3.9 Theorem
If +
µ = (µ ,µ )-
be a bipolar fuzzy subgroup of a group G, then the pseudo bipolar fuzzy
coset (aµ)P
= (((aµ)P
)+
, ((aµ)P
)−
) is a bipolar fuzzy subgroup of a group G.
Proof:Let
+
µ = (µ ,µ )-
be a bipolar fuzzy subgroup of a group G.
For every x and y in G, we have,
i. ((aµ)P
)+
(xy −1
) = |p(a)| µ+
(xy−1
)
≥ |p(a)| min { µ+
(x), µ+
(y)}
= min {|p(a)| µ+
(x), |p(a)| µ+
(y)}
= min {((aµ)P
)+
(x), ((aµ)P
)+
(y)}
Therefore, ((aµ)P
)+
(xy −1
) ≥ min {((aµ)P
)+
(x), ((aµ)P
)+
(y)}
ii. ((aµ)P
)−
(xy −1
) = | p(a)| µ−
(xy −1
)
≤ | p(a)| max{ µ−
(x), µ−
(y)}
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014
9
= max {| p(a)| µ−
(x), | p(a)| µ−
(y)}
= max {((aµ)P
)−
(x), ((aµ)P
)−
(y)}
Therefore, ((aµ)P
)−
(xy −1
) ≤ max{((aµ)P
)−
(x), ((aµ)P
)−
(y)}
Hence (aµ)P
is a bipolar fuzzy subgroup of a group G.
Note: (aµ)P
is called as a pseudo bipolar fuzzy subgroup of a group G if |p(a)| ≤ |p(e)| , for
every a∈G.
3.10 Theorem
If +
µ = (µ ,µ )-
be a bipolar anti-fuzzy subgroup of a group G, then the pseudo bipolar fuzzy
coset (aµ)P
= (((aµ)P
)+
, ((aµ)P
)−
) is a bipolar anti-fuzzy subgroup of a group G.
Proof:It is clear from the Theorem 3.9
Note: (aµ)P
is called as a pseudo bipolar anti-fuzzy subgroup of a group G if |p(a)| ≥
|p(e)|, for every a∈G.
3.11 Theorem
If +
µ = (µ ,µ )-
and +
φ = (φ ,φ )-
are two bipolar fuzzy subgroups of a group G, then the pseudo
bipolar fuzzy double coset (µaφ)P
= (((µaφ)P
)+
, ((µaφ)P
)−
) determined by µ and φ is also a bipolar
fuzzy subgroup of the group G.
Proof: For all x,y ∈ G,
i. ((µaφ)P
)+
(xy −1
) = {((aµ)P
∩ (aφ)P
) +
}(xy −1
)
= min { ((aµ)P
)+
(xy−1
) , ((aφ)P
)+
(xy−1
)}
= min { |p(a)| µ+
(xy−1
) , |p(a)| φ+
(xy−1
)}
= |p(a)| min { µ+
(xy−1
) , φ+
(xy−1
)}
≥ |p(a)| min {min { µ+
(x), µ+
(y)}, min{ φ+
(x), φ+
(y) }}
= |p(a)| min {min { µ+
(x) , φ+
(x)}, min{ µ+
(y) , φ+
(y)}}
= min{min{|p(a)| µ+
(x) , |p(a)| φ+
(x)}, min { |p(a)| µ+
(y), |p(a)| φ+
(y)}}
= min{min{((aµ)P
)+
(x),((aφ)P
)+
(x)},min{((aµ)P
)+
(y),((aφ)P
)+
(y)}}
= min {((aµ)P
∩ (aφ)P
) +
(x) , ((aµ)P
∩ (aφ)P
) +
(y)}
= min {(( µaφ)P
)+
(x) , ((µaφ)P
)+
(y) }
ii. ((µaφ)P
) −
( xy−1
) = {((aµ)P
∩ (aφ)P
) −
}( xy−1
)
= max { ((aµ)P
)−
(xy−1
) , ((aφ)P
)−
(xy−1
)}
= max { | p(a)| µ−
(xy−1
) , | p(a)| φ−
(xy−1
)}
= |p(a)| max { µ−
(xy−1
) , φ−
(xy−1
)}
≤ |p(a)| max {max { µ−
(x), µ−
(y)}, max{ φ−
(x), φ−
(y) }}
= |p(a)| max {max { µ−
(x), φ−
(x)}, max{ µ−
(y) , φ−
(y)}}
= max{max{|p(a)| µ−
(x) , |p(a)| φ−
(x)}, max{|p(a)| µ−
(y), |p(a)| φ−
(y)}}
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014
10
= max {max{((aµ)P
)−
(x), ((aφ)P
)−
(x)}, max{((aµ)P
)−
(y), ((aφ)P
)−
(y)}}
= max {((aµ)P
∩ (aφ)P
) −
(x) , ((aµ)P
∩ (aφ)P
) −
(y)}
= max {(( µaφ)P
) −
(x) , ((µaφ)P
) −
(y) }
Hence, (µaφ)P
= (((µaφ)P
)+
, ((µaφ)P
)−
) is a bipolar fuzzy subgroup of the group G.
3.12 Theorem
If +
µ = (µ ,µ )-
and +
φ = (φ ,φ )-
are two bipolar anti-fuzzy subgroups of a group G, then the
pseudo bipolar fuzzy double coset (µaφ)P
= (((µaφ)P
)+
, ((µaφ)P
)−
) is also a bipolar anti- fuzzy
subgroup of the group G.
Proof: For all x,y ∈ G,
i. ((µaφ)P
)+
(xy −1
) = {((aµ)P
∩ (aφ)P
) +
}(xy −1
)
= max { ((aµ)P
)+
(xy−1
) , ((aφ)P
)+
(xy−1
)}
= max { |p(a)| µ+
(xy−1
) , |p(a)| φ+
(xy−1
)}
= |p(a)| max { µ+
(xy−1
) , φ+
(xy−1
)}
≤ |p(a)| max {max { µ+
(x), µ+
(y)}, max{ φ+
(x), φ+
(y) }}
= |p(a)| max {max { µ+
(x) , φ+
(x)}, max{ µ+
(y) , φ+
(y)}}
= max{max{|p(a)| µ+
(x), |p(a)| φ+
(x)},max { |p(a)| µ+
(y), |p(a)| φ+
(y)}}
= max{max{((aµ)P
)+
(x),((aφ)P
)+
(x)},max{((aµ)P
)+
(y),((aφ)P
)+
(y)}}
= max {((aµ)P
∩ (aφ)P
) +
(x) , ((aµ)P
∩ (aφ)P
) +
(y)}
= max {(( µaφ)P
)+
(x) , ((µaφ)P
)+
(y) }
ii. ((µaφ)P
) −
( xy−1
) = {((aµ)P
∩ (aφ)P
) −
}( xy−1
)
= min { ((aµ)P
)−
(xy−1
) , ((aφ)P
)−
(xy−1
)}
= min { |p(a)| µ−
(xy−1
) , |p(a)| φ−
(xy−1
)}
= |p(a)| min { µ−
(xy−1
) , φ−
(xy−1
)}
≥ |p(a)| min {min { µ−
(x), µ−
(y)}, min{ φ−
(x), φ−
(y) }}
= |p(a)| min {min { µ−
(x), φ−
(x)}, min{ µ−
(y) , φ−
(y)}}
= min{min{|p(a)| µ−
(x) , |p(a)| φ−
(x)}, min{|p(a)| µ−
(y), |p(a)| φ−
(y)}}
= min {min{((aµ)P
)−
(x), ((aφ)P
)−
(x)}, min {((aµ)P
)−
(y), ((aφ)P
)−
(y)}}
= min {((aµ)P
∩ (aφ)P
) −
(x) , ((aµ)P
∩ (aφ)P
) −
(y)}
= min {((µaφ)P
) −
(x) , ((µaφ)P
) −
(y) }
Hence, (µaφ)P
= (((µaφ)P
)+
, ((µaφ)P
)−
) is a bipolar anti-fuzzy subgroup of the group G.
4. Pseudo bipolar fuzzy cosets and Pseudo bipolar fuzzy double cosets of
bipolar fuzzy and bipolar anti-fuzzy HX subgroups and their
properties:
In this section, we define the concepts of pseudo bipolar fuzzy cosets, pseudo bipolar fuzzy
double cosets of a bipolar fuzzy and bipolar anti-fuzzy HX subgroups of a HX group and discuss
some of their properties.
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014
11
4.1 Definition [2]
Let G be a finite group. In 2G
−{φ}, a nonempty set ϑ ⊂ 2G
−{φ} is called a HX group on G, if
ϑ is a group with respect to the algebraic operation defined by AB = { ab /a
∈ A and b ∈ B}, which its unit element is denoted by E.
4.2 Definition [9]
Let ϑ be a non-empty set. A bipolar-valued fuzzy set or bipolar fuzzy set λµ in ϑ is an
object having the form λµ = {〈A, λµ
+
(A), λµ
−
(A)〉 : A ∈ ϑ} where λµ
+
: ϑ → [0,1] and λµ
−
: ϑ →
[−1,0] are mappings. The positive membership degree λµ
+
(A) denotes the satisfaction degree of
an element A to the property corresponding to a bipolar-valued fuzzy set λµ = {〈A, λµ
+
(A),
λµ
−
(A)〉: A ∈ ϑ } and the negative membership degree λµ
−
(A) denotes the satisfaction degree of an
element A to some implicit counter property corresponding to a bipolar-valued fuzzy set λµ
={〈A, λµ
+
(A), λµ
−
(A)〉: A ∈ ϑ}. If λµ
+
(A) ≠ 0 and λµ
−
(A) = 0, it is the situation that A is
regarded as having only positive satisfaction for λµ = {〈A, λµ
+
(A), λµ
−
(A)〉: A ∈ ϑ}. If λµ
+
(A)
= 0 and λµ
−
(A) ≠ 0, it is the situation that A does not satisfy the property of λµ = {〈A,
λµ
+
(A), λµ
−
(A)〉 : A ∈ ϑ} , but somewhat satisfies the counter property of λµ = {〈A, λµ
+
(A),
λµ
−
(A)〉: A∈ϑ}. It is possible for an element A to be such that λµ
+
(A) ≠ 0 and λµ
−
(A) ≠ 0
when the membership function of property overlaps that its counter property over some
portion of ϑ. For the sake of simplicity, we shall use the symbol λµ = ( λµ
+
, λµ
−
) for the
bipolar-valued fuzzy set λµ = {〈A, λµ
+
(A), λµ
−
(A)〉: A ∈ ϑ}.
4.3 Definition [9]
Let +
µ = (µ ,µ )-
be a bipolar fuzzy subset defined on G. Let ϑ ⊂ 2G
−{φ} be a HX group of G.
A bipolar fuzzy set λµ = (λµ
+
, λµ
−
) defined on ϑ is said to be a bipolar fuzzy subgroup
induced by µ on ϑ or a bipolar fuzzy HX subgroup of ϑ if for A,B ∈ϑ,
i.λµ
+
(AB) ≥ min{ λµ
+
(A), λµ
+
(B)}
ii.λµ
−
(AB) ≤ max{ λµ
−
(A), λµ
−
(B)}
iii.λµ
+
(A−1
) = λµ
+
(A) , λµ
−
(A−1
) = λµ
−
(A).
Where λµ
+
(A) = max {µ+
(x) / for all x ∈ A ⊆ G} and
λµ
−
(A) = min {µ−
(x) / for all x ∈ A ⊆ G}.
Remark [9]
i. If µ is a bipolar fuzzy subgroup of G then the bipolar fuzzy subset λµ = (λµ
+
, λµ
−
) is a fuzzy
HX subgroup on ϑ.
ii. Let µ be a bipolar fuzzy subset of a group G. If λµ = (λµ
+
, λµ
−
) is a bipolar fuzzy HX subgroup
on ϑ, then µ need not be a bipolar fuzzy subgroup of G.
4.4 Definition [9]
Let +
µ = (µ ,µ )-
be a bipolar fuzzy subset defined on G. Let ϑ ⊂ 2G
−{φ} be a HX group of
G. A bipolar fuzzy set λµ = (λµ
+
, λµ
−
) defined on ϑ is said to be a bipolar anti- fuzzy subgroup
induced by µ on ϑ or a bipolar anti-fuzzy HX subgroup of ϑ if for A, B∈ϑ,
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014
12
i.λµ
+
(AB) ≤ max { λµ
+
(A), λµ
+
(B)}
ii.λµ
−
(AB) ≥ min { λµ
−
(A), λµ
−
(B)}
iii.λµ
+
(A−1
) = λµ
+
(A) , λµ
−
(A−1
) = λµ
−
(A).
Where λµ
+
(A) = min {µ+
(x) / for all x ∈ A ⊆ G} and
λµ
−
(A) = max{µ−
(x) / for all x ∈ A ⊆ G}
Remark [7]
1.If +
µ = (µ ,µ )-
is a bipolar anti-fuzzy subgroup of G then λµ = (λµ
+
, λµ
−
) is a bipolar anti-
fuzzy HX subgroup on ϑ.
2.Let +
µ = (µ ,µ )-
be a bipolar fuzzy subset of a group G. If λµ = (λµ
+
, λµ
−
) is a bipolar anti-
fuzzy HX subgroup on ϑ,then +
µ = (µ ,µ )-
need not be a bipolar anti-fuzzy subgroup of G.
4.5 Definition
Let λµ = (λµ
+
,λµ
−
) be a bipolar fuzzy HX subgroup of a HX group ϑ and A ∈ ϑ. Then the pseudo
bipolar fuzzy coset (Aλµ)P
= (((Aλµ)P
)+
, ((Aλµ)P
)−
) is defined by
i.((Aλµ)P
)+
(X) = |p(A)| λµ
+
(X)
ii.((Aλµ)P
) −
(X) = |p(A)| λµ
−
(X).For every X ∈ ϑ and
iii.
for some p∈ P Where P = {p(X) / p(X) ∈ [−1,1] and p(X) ≠ 0 for all X∈ϑ}.
4.6 Example
Let G ={1, 1,i, i}- - be a group under the binary operation multiplication. Define a bipolar
fuzzy subset +
µ = (µ ,µ )-
on G as,
+
0.8 ,if x =1
µ (x) = 0.7 ,if x = 1
0.5 ,if x = i, i





-
-
0.7 , if x =1
µ (x) = 0.6 ,if x = 1
0.4 ,if x = i, i





-
-
- -
- -
Clearly
+
µ = (µ ,µ )-
is a bipolar fuzzy subgroup of G.
Let ϑ = {{1, −1},{i, −i}} = { E,A } , where E = {1, −1} , A = {i, −i} .Clearly (ϑ, ⋅) is a HX
group. Let λµ = (λµ
+
,λµ
−
) be a bipolar fuzzy subset on ϑ induced by +
µ = (µ ,µ )-
on G is,
+
µ
0.8 ,if X = E
λ (X) =
0.5 ,if X = A



µ
0.7 , if X = E
λ (X) =
0.4 ,if X = A



-
-
-
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014
13
Let us take p as follows:
0.5 ,if X = E
p(X) =
0.66 ,if X = A



the pseudo bipolar fuzzy cosets are,
i.
p +
µ((Eλ ) ) (X) = +
µ
0.40 ,if X = E
p(E) λ (X) =
0.25 ,if X = A



p
µ((Eλ ) ) (X) =-
µ
0.35 ,if X = E
p(E) λ (X) =
0.20 ,if X = A



- -
-
ii.
p +
µ((Aλ ) ) (X) = +
µ
0.528 ,if X = E
p(A) λ (X) =
0.132 ,if X = A



p
µ((Aλ ) ) (X) =-
µ
0.452 ,if X = E
p(A) λ (X) =
0.264 ,if X = A



-
-
-
Note: If p(X) = 1± , for all X∈ϑ, then (X λµ) p
= λµ .
4.7 Definition
Let λµ = (λµ
+
,λµ
−
) be a bipolar anti-fuzzy HX subgroup of a HX group ϑ and let A ∈ ϑ. Then
the pseudo bipolar fuzzy coset (Aλµ)P
= (((Aλµ)P
)+
, ((Aλµ)P
)−
) is defined by
i.((Aλµ)P
)+
(X) = |p(A)| λµ
+
(X)
ii.((Aλµ)P
) −
(X) = | p(A)| λµ
−
(X)
iii.
for every X ∈ ϑ and for some p∈ P, Where P = { p(X) / p(X) ∈ [−1,1] and p(X) ≠ 0 for all
X∈ϑ}.
4.8 Example
Let G = { e,a,b,ab } be a group under the binary operation multiplication. Where a2
= e = b2
, ab =
ba and e is the identity element of G .Define a bipolar fuzzy subset µ = (µ+
,µ−
) on G as,
+
0.4 ,if x = e
µ (x) = 0.5 ,if x = a
0.8 ,if x = b,ab





0.5 , if x = e
µ (x) = 0.6 ,if x = a
0.7 ,if x = b,ab





-
-
-
-
Clearly +
µ = (µ ,µ )-
is a bipolar anti fuzzy subgroup of G.
Let ϑ = {{e,a},{b,ab}} = { E,A } , where E = {e,a} , A = {b,ab} .Clearly (ϑ, ⋅) is a HX group.
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014
14
Let λµ = (λµ
+
,λµ
−
) be a bipolar fuzzy subset on ϑ induced by µ = (µ+
,µ−
) on G is,
+
µ
0.4 ,if X = E
λ (X) =
0.8 ,if X = A



µ
0.5 , if X = E
λ (X) =
0.7 ,if X = A



- -
-
Let us take p as follows:
0.6 ,if X = E
p(X) =
0.5 ,if X = A



the pseudo bipolar fuzzy cosets are,
i.
p +
µ((Eλ ) ) (X) = +
µ
0.24 ,if X = E
p(E) λ (X) =
0.48 ,if X = A



p
µ((Eλ ) ) (X) =-
µ
0.3 ,if X = E
p(E) λ (X) =
0.42 ,if X = A



- -
-
ii.
p +
µ((Aλ ) ) (X) = +
µ
0.2 ,if X = E
p(A) λ (X) =
0.4 ,if X = A



p
µ((Aλ ) ) (X) =-
µ
0.25 ,if X = E
p(A) λ (X) =
0.35 ,if X = A



-
-
-
Note: If p(X) = 1± and p(X) 0≠ , for all X∈ϑ, then (X λµ) p
= λµ .
4.9 Definition
Let λµ = (λµ
+
, λµ
−
) and σφ = (σφ
+
, σφ
−
) be any two bipolar fuzzy HX subgroups of a HX group ϑ,
then pseudo bipolar fuzzy double coset (λµAσφ)P
= (((λµAσφ)P
)+,
((λµAσφ)P
)−
) is defined by
i.((λµAσφ)P
)+
(X) = ((Aλµ)P
∩ (Aσφ)P
)+
(X) = min{((Aλµ)P
)+
(X) , ((Aσφ)P
)+
(X) }
ii.((λµAσφ)P
)−
(X) = ((Aλµ)P
∩ (Aσφ)P
)−
(X) = max{((Aλµ)P
)−
(X), ((Aσφ)P
)−
(X)}
for every X ∈ ϑ and for some p∈ P , Where P = {p(X) / p(X) ∈ [−1,1] , p(X) ≠ 0 for all X∈ϑ}.
4.10 Example
Let G ={1, 1,i, i}- - be a group under the binary operation multiplication. Define a bipolar
fuzzy subsets
+
µ = (µ ,µ )-
and
+
φ = (φ ,φ )-
on G as,
+
0.8 ,if x =1
µ (x) = 0.6 ,if x = 1
0.3 ,if x = i, i





-
-
0.6 , if x =1
µ (x) = 0.4 ,if x = 1
0.2 ,if x = i, i





-
-
- -
- -
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014
15
+
0.9 ,if x =1
φ (x) = 0.5 ,if x = 1
0.2 ,if x = i, i





-
-
0.8 , if x =1
φ (x) = 0.6 ,if x = 1
0.1 ,if x = i, i





-
-
- -
- -
and let ϑ = {{1, −1},{i, −i}} = {E,A} , where E = {1, −1} , A = {i, −i}.Clearly (ϑ, ⋅) is a HX
group. Let λµ = (λµ
+
, λµ
−
) and σφ = (σφ
+
, σφ
−
) are bipolar fuzzy subsets on ϑ induced by
+
µ = (µ ,µ )-
and +
φ = (φ ,φ )-
on G are
+
µ
0.8 ,if X = E
λ (X) =
0.3 ,if X = A



µ
0.6 , if X = E
λ (X) =
0.2 ,if X = A



-
-
-
+
φ
0.9 ,if X = E
σ (X) =
0.2 ,if X = A



φ
0.8 , if X = E
σ (X) =
0.1 ,if X = A



- -
-
Then the pseudo fuzzy cosets (Aλµ)p
and (Aσφ)p
for p (X) = − 0.4 , for every X ∈ ϑ is
i.
p +
µ((Aλ ) ) (X) = +
µ
0.32 ,if X = E
p(A) λ (X) =
0.12 ,if X = A



p
µ((Aλ ) ) (X) =-
µ
0.24 ,if X = E
p(A) λ (X) =
0.08 ,if X = A



- -
-
ii.
p +
φ((Aσ ) ) (X) = +
φ
0.36 ,if X = E
p(A) σ (X) =
0.08 ,if X = A



p
φ((Aσ ) ) (X) =-
φ
0.32 ,if X = E
p(A) σ (X) =
0.04 ,if X = A



-
-
-
and Now the pseudo bipolar fuzzy double coset determined by λµ and σφ is given by
( )( )
+p
µ φ
0.32 ,if X = E
λ Aσ (X) =
0.08 ,if X = A



, ( )( )p
µ φ
0.24 ,if X = E
λ Aσ (X) =
0.04 ,if X = A



- -
-
Note:
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014
16
Similarly we can define pseudo bipolar fuzzy double cosets on a bipolar anti-fuzzy HX subgroup
of a HX group.
4.11 Theorem
If λµ = (λµ
+
, λµ
−
) be a bipolar fuzzy HX subgroup of a HX group ϑ, then the pseudo bipolar
fuzzy coset (Aλµ)P
= (((Aλµ)P
)+
, ((Aλµ)P
)−
) is a bipolar fuzzy HX subgroup of a HX group ϑ.
Proof:Let λµ = (λµ
+
, λµ
−
) be a bipolar fuzzy HX subgroup of a HX group ϑ.
For every X and Y in ϑ, we have,
i. ((Aλµ)P
)+
(XY−1
) = |p(A)| λµ
+
(XY−1
)
≥ |p(A)| min { λµ
+
(X), λµ
+
(Y)}
= min { |p(A)| λµ
+
(X), |p(A)| λµ
+
(Y)}
= min {((Aλµ)P
)+
(X), ((Aλµ)P
)+
(Y)}
Therefore, ((Aλµ)P
)+
(XY-1
) ≥ min {((Aλµ)P
)+
(X), ((Aλµ)P
)+
(Y)}
ii. ((Aλµ)P
)−
(XY−1
) = |p(A)| λµ
−
(XY−1
)
≤ |p(A)| max{ λµ
−
(X), λµ
−
(Y)}
= max {|p(A)| λµ
−
(X), |p(A)| λµ
−
(Y)}
= max {((Aλµ)P
)−
(X), ((Aλµ)P
)−
(Y)}
Therefore, ((Aλµ)P
)−
(XY−1
) ≤ max{((Aλµ)P
)−
(X), ((Aλµ)P
)−
(Y)}
Hence (Aλµ)P
is a bipolar fuzzy HX subgroup of a HX group ϑ.
Note: (Aλµ)P
is called as a pseudo bipolar fuzzy HX subgroup of ϑ if |p(A)| ≤ |p(E)| for every A
∈ ϑ.
4.12 Theorem
If λµ = (λµ
+
, λµ
−
) be a bipolar anti-fuzzy HX subgroup of a HX group ϑ, then the pseudo
bipolar fuzzy coset (Aλµ)P
is also a bipolar anti-fuzzy HX subgroup of a HX group ϑ.
Proof: it is clear from Theorem 4.11.
Note: (Aλµ)P
is also called as pseudo bipolar anti-fuzzy HX subgroup of ϑ if |p(A)| ≥ |p(E)| for
every A ∈ ϑ.
4.13 Theorem
If λµ = (λµ
+
, λµ
−
) and σφ = (σφ
+
, σφ
−
) are two bipolar fuzzy HX subgroups of a HX group ϑ, then
the pseudo bipolar fuzzy double coset (λµAσφ)P
= (((λµAσφ)P
)+
, ((λµAσφ)P
)−
) determined by λµ
and σφ is also a bipolar fuzzy HX subgroup of the HX group ϑ.
Proof: For all X, Y ∈ ϑ,
i. ((λµAσφ)P
)+
(XY−1
) = {((Aλµ)P
∩ (Aσφ)P
) +
}(XY−1
)
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014
17
= min { ((Aλµ)P
)+
(XY−1
) , ((Aσφ)P
)+
(XY−1
)}
= min { |p(A)| λµ
+
(XY−1
) , |p(A)| σφ
+
(XY−1
)}
= |p(A)| min { λµ
+
(XY−1
) , σφ
+
(XY−1
)}
≥ |p(A)| min {min { λµ
+
(X), λµ
+
(Y)}, min{ σφ
+
(X), σφ
+
(Y) }}
= |p(A)| min {min { λµ
+
(X) , σφ
+
(X)}, min{ λµ
+
(Y) , σφ
+
(Y)}}
= min{min{ |p(A)| λµ
+
(X) , |p(A)| σφ
+
(X)}, min { |p(A)| λµ
+
(Y), |p(A)| σφ
+
(Y)}}
= min{min{((Aλµ)P
)+
(X),((Aσφ)P
)+
(X)},min{((Aλµ)P
)+
(X),((Aσφ)P
)+
(X)}}
= min {((Aλµ)P
∩ (Aσφ)P
) +
(X) , ((Aλµ)P
∩ (Aσφ)P
) +
(Y)}
= min {((λµAσφ)P
)+
(X) , ((λµAσφ)P
)+
(Y) }
ii.((λµAσφ)P
) −
(XY−1
) = {((Aλµ)P
∩ (Aσφ)P
) −
}(XY−1
)
= max { ((Aλµ)P
)−
(XY−1
) , ((Aσφ)P
)−
(XY−1
)}
= max { |p(A)| λµ
−
(XY−1
) , |p(A)| σφ
−
(XY−1
)}
= |p(A)| max { λµ
−
(XY−1
) , σφ
−
(XY−1
)}
≤ |p(A)| max {max { λµ
−
(X), λµ
−
(Y)}, max{ σφ
−
(X), σφ
−
(Y) }}
= |p(A)| max {max { λµ
−
(X), σφ
−
(X)}, max{ λµ
−
(Y) , σφ
−
(Y)}}
= max{max{|p(A)| λµ
−
(X) , |p(A)| σφ
−
(X)}, max{|p(A)| λµ
−
(Y), |p(A)| σφ
−
(Y)}}
= max {max{((Aλµ)P
)−
(X), ((Aσφ)P
)−
(X)}, max{((Aλµ)P
)−
(Y), ((Aσφ)P
)−
(Y)}}
= max {((Aλµ)P
∩ (Aσφ)P
) −
(X) , ((Aλµ)P
∩ (Aσφ)P
) −
(Y)}
= max {((λµAσφ)P
) −
(X) , ((λµAσφ)P
) −
(Y) }
Hence, (λµAσφ)P
= (((λµAσφ)P
)+
,((λµAσφ)P
)−
) is bipolar fuzzy HX subgroup of the HX group ϑ.
4.14 Theorem
If λµ = (λµ
+
, λµ
−
) and σφ = (σφ
+
, σφ
−
) are two bipolar anti-fuzzy HX subgroups of a HX group ϑ,
then the pseudo bipolar fuzzy double coset (λµAσφ)P
= (((λµAσφ)P
)+
, ((λµAσφ)P
)−
) determined by
λµ and σφ is also a bipolar anti-fuzzy HX subgroup of the HX group ϑ.
Proof : For all X, Y ∈ ϑ,
i. ((λµAσφ)P
)+
(XY−1
) = {((Aλµ)P
∩ (Aσφ)P
) +
}(XY−1
)
= min { ((Aλµ)P
)+
(XY−1
) , ((Aσφ)P
)+
(XY−1
)}
= min { |p(A)| λµ
+
(XY−1
) , |p(A)| σφ
+
(XY−1
)}
= |p(A)| min { λµ
+
(XY−1
) , σφ
+
(XY−1
)}
≤ |p(A)| min {max { λµ
+
(X), λµ
+
(Y)}, max{ σφ
+
(X), σφ
+
(Y) }}
= |p(A)| max {min { λµ
+
(X) , σφ
+
(X)}, min{ λµ
+
(Y) , σφ
+
(Y)}}
= max{min{ |p(A)| λµ
+
(X) , |p(A)| σφ
+
(X)}, min { |p(A)| λµ
+
(Y) , |p(A)| σφ
+
(Y)}}
= max{min{((Aλµ)P
)+
(X),((Aσφ)P
)+
(X)},min{((Aλµ)P
)+
(Y),((Aσφ)P
)+
(Y)}}
= max {((Aλµ)P
∩ (Aσφ)P
) +
(X) , ((Aλµ)P
∩ (Aσφ)P
) +
(Y)}
= max {((λµAσφ)P
)+
(X) , ((λµAσφ)P
)+
(Y) }
ii.((λµAσφ)P
) −
(XY−1
) = {((Aλµ)P
∩ (Aσφ)P
) −
}(XY−1
)
= max { ((Aλµ)P
) −
(XY−1
) , ((Aσφ)P
)−
(XY−1
)}
= max { |p(A)| λµ
−
(XY−1
) , |p(A)| σφ
−
(XY−1
)}
= |p(A)| max { λµ
−
(XY−1
) , σφ
−
(XY−1
)}
≥ |p(A)| max {min { λµ
−
(X), λµ
−
(Y)}, min{ σφ
−
(X), σφ
−
(Y) }}
= |p(A)| min {max { λµ
−
(X), σφ
−
(X)}, max{ λµ
−
(Y) , σφ
−
(Y)}}
= min{max{|p(A)| λµ
−
(X), |p(A)| σφ
−
(X)}, max{|p(A)| λµ
−
(Y), |p(A)| σφ
−
(Y)}}
= min {max{((Aλµ)P
) −
(X), ((Aσφ)P
)−
(X)}, max{((Aλµ)P
) −
(Y), ((Aσφ)P
)−
(Y)}}
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014
18
= min {((Aλµ)P
∩ (Aσφ)P
) −
(X) , ((Aλµ)P
∩ (Aσφ)P
) −
(Y)}
= min {((λµAσφ)P
) −
(X) , ((λµAσφ)P
) −
(Y) }
Hence, (λµAσφ)P
= (((λµAσφ)P
)+
, ((λµAσφ)P
)−
) is a bipolar anti-fuzzy HX subgroup of the HX
group ϑ.
4.15 Theorem
Intersection of any two pseudo bipolar fuzzy HX subgroup on a HX subgroup ϑ is also a pseudo
bipolar fuzzy HX subgroup of ϑ.
Proof:Let (Aλµ)P
= (((Aλµ)P
)+
, ((Aλµ)P
)−
) and (Aσφ)P
= (((Aσφ)P
)+
, ((Aσφ)P
)−
) be any two
pseudo bipolar fuzzy HX subgroups of a HX group ϑ.Now, Intersection of any two pseudo
bipolar fuzzy HX subgroup on a HX subgroup ϑ is ((Aλµ)P
∩ (Aσφ)P
) = (((Aλµ)P
∩ (Aσφ)P
) +
,
((Aλµ)P
∩ (Aσφ)P
)−
)
i. ((Aλµ)P
∩ (Aηφ)P
) +
(XY−1
) = min {((Aλµ)P
)+
(XY−1
) , ((Aσφ)P
)+
(XY−1
) }
= min { |p(A)| λµ
+
(XY−1
), p+
(A) σφ
+
(XY−1
)}
= |p(A)| min{ λµ
+
(XY−1
), σφ
+
( XY−1
)}
≥ |p(A)| min{min{ λµ
+
(X), λµ
+
(Y)}, min{ σφ
+
(X), σφ
+
(Y)}}
= |p(A)| min{min{ λµ
+
(X), σφ
+
(X)}, min{ λµ
+
(Y), σφ
+
(Y)}}
= min{ |p(A)|{ min{ λµ
+
(X), σφ
+
(X)}, min{ λµ
+
(Y), σφ
+
(Y)}}}
= min{min{ |p(A)| λµ
+
(X) , |p(A)| σφ
+
(X)},min{ |p(A)| λµ
+
(Y) , |p(A)| σφ
+
(Y)}}
= min {min{((Aλµ)P
)+
(X), ((Aσφ)P
)+
(X)},min {((Aλµ)P
)+
(Y), ((Aσφ)P
)+
(Y)}}
= min {((Aλµ)P
∩ (Aσφ)P
) +
(X) , ((Aλµ)P
∩ (Aσφ)P
) +
(Y)}}
i. ((Aλµ)P
∩ (Aσφ)P
) −
(XY−1
) = max {((Aλµ)P
) −
(XY−1
) , ((Aσφ)P
)−
(XY−1
) }
= max { |p(A)| λµ
−
(XY−1
) , |p(A)| σφ
−
(XY−1
)}
= |p(A)| max{ λµ
−
(XY−1
), σφ
−
( XY−1
)}
≤ |p(A)| max{max{ λµ
−
(X), λµ
−
(Y)}, max{ σφ
−
(X), σφ
−
(Y)}}
= |p(A)| max{max{ λµ
−
(X), σφ
−
(X)}, max{ λµ
−
(Y), σφ
−
(Y)}}
= max{|p(A)|{max{ λµ
−
(X),σφ
−
(X)}, max{λµ
−
(Y),σφ
−
(Y)}}}
= max{max{|p(A)| λµ
−
(X) , |p(A)| σφ
−
(X)},max{|p(A)| λµ
−
(Y) , |p(A)| σφ
−
(Y)}}
= max {max{((Aλµ)P
) −
(X), ((Aσφ)P
)−
(X)},max{((Aλµ)P
) −
(Y), ((Aσφ)P
)−
(Y)}}
= max {((Aλµ)P
∩ (Aσφ)P
) −
(X) , ((Aλµ)P
∩ (Aσφ)P
) −
(Y)}}
Hence the intersection of any two pseudo bipolar fuzzy HX subgroups of a HX group ϑ is also a
pseudo bipolar fuzzy HX subgroup of ϑ.
4.16 Theorem
Intersection of any two pseudo bipolar anti-fuzzy HX subgroup on a HX subgroup ϑ is also a
pseudo bipolar anti-fuzzy HX subgroup of ϑ.
Proof:Let (Aλµ)P
= (((Aλµ)P
)+
, ((Aλµ)P
)−
) and (Aσφ)P
= (((Aσφ)P
)+
, ((Aσφ)P
)−
) be any two
pseudo bipolar anti-fuzzy HX subgroups of a HX group ϑ.
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014
19
Now, Intersection of any two pseudo bipolar anti-fuzzy HX subgroup on a HX subgroup ϑ is
((Aλµ)P
∩ (Aσφ)P
) = (((Aλµ)P
∩ (Aσφ)P
) +
, ((Aλµ)P
∩ (Aσφ)P
)−
)
i. ((Aλµ)P
∩ (Aηφ)P
) +
(XY−1
) = min {((Aλµ)P
)+
(XY−1
) , ((Aσφ)P
)+
(XY−1
) }
= min { |p(A)| λµ
+
(XY−1
), |p(A)| σφ
+
(XY−1
)}
= |p(A)| min{ λµ
+
(XY−1
), σφ
+
( XY−1
)}
≤ |p(A)| min{max{ λµ
+
(X), λµ
+
(Y)}, max{ σφ
+
(X), σφ
+
(Y)}}
= |p(A)| max{min{ λµ
+
(X), σφ
+
(X)}, min{ λµ
+
(Y), σφ
+
(Y)}}
= max{ |p(A)|{min{ λµ
+
(X), σφ
+
(X)}, min{ λµ
+
(Y), σφ
+
(Y)}}}
= max{min{ |p(A)| λµ
+
(X) , |p(A)| σφ
+
(X)}, min{ |p(A)| λµ
+
(Y) , |p(A)| σφ
+
(Y)}}
= max {min{((Aλµ)P
)+
(X), ((Aσφ)P
)+
(X)},min {((Aλµ)P
)+
(Y), ((Aσφ)P
)+
(Y)}}
= max {((Aλµ)P
∩ (Aσφ)P
) +
(X) , ((Aλµ)P
∩ (Aσφ)P
) +
(Y)}}
i. ((Aλµ)P
∩ (Aσφ)P
) −
(XY−1
) = max {((Aλµ)P
)−
(XY−1
) , ((Aσφ)P
)−
(XY−1
) }
= max { |p(A)| λµ
−
(XY−1
) , |p(A)| σφ
−
(XY−1
)}
= |p(A)| max{ λµ
−
(XY−1
), σφ
−
( XY−1
)}
≥ |p(A)| max{min{ λµ
−
(X), λµ
−
(Y)}, min{ σφ
−
(X), σφ
−
(Y)}}
= |p(A)| min{max{ λµ
−
(X), σφ
−
(X)}, max{ λµ
−
(Y), σφ
−
(Y)}}
= min{ |p(A)|{ max{ λµ
−
(X), σφ
−
(X)}, max{ λµ
−
(Y), σφ
−
(Y)}}}
= min{max{|p(A)| λµ
−
(X) , |p(A)| σφ
−
(X)},max{|p(A)| λµ
−
(Y), |p(A)| σφ
−
(Y)}}
= min{max{((Aλµ)P
)−
(X), ((Aσφ)P
)−
(X)},max{((Aλµ)P
)−
(Y), ((Aσφ)P
)−
(Y)}}
= min{((Aλµ)P
∩ (Aσφ)P
) −
(X) , ((Aλµ)P
∩ (Aσφ)P
) −
(Y)}}
Hence the intersection of any two pseudo bipolar anti-fuzzy HX subgroups of a HX group ϑ is
also a pseudo bipolar anti-fuzzy HX subgroup of ϑ.
4.17 Theorem
Union of any two pseudo bipolar anti-fuzzy HX subgroup of a HX group ϑ is also a pseudo
bipolar anti-fuzzy HX subgroup of ϑ.
Proof: Let (Aλµ)P
= (((Aλµ)P
)+
, ((Aλµ)P
)−
) and (Aσφ)P
= (((Aσφ)P
)+
, ((Aσφ)P
)−
) be any two
pseudo bipolar anti-fuzzy HX subgroups of a HX group ϑ.
Now, Union of any two pseudo bipolar anti-fuzzy HX subgroup on a HX subgroup ϑ is
((Aλµ)P
∪ (Aσφ)P
) = (((Aλµ)P
∪ (Aσφ)P
) +
, ((Aλµ)P
∪ (Aσφ)P
)−
)
i. ((Aλµ)P
∪ (Aσφ)P
) +
(XY−1
) = max {((Aλµ)P
)+
(XY−1
) , ((Aσφ)P
)+
(XY−1
) }
= max { |p(A)| λµ
+
(XY−1
), |p(A)| σφ
+
(XY−1
)}
= |p(A)| max{ λµ
+
(XY−1
), σφ
+
( XY−1
)}
≤ |p(A)| max{max{ λµ
+
(X), λµ
+
(Y)}, max{ σφ
+
(X), σφ
+
(Y)}}
= |p(A) |max{max{ λµ
+
(X), σφ
+
(X)}, max{ λµ
+
(Y), σφ
+
(Y)}}
= max{|p(A)|{max{λµ
+
(X), σφ
+
(X)}, max{ λµ
+
(Y), σφ
+
(Y)}}}
= max{max{ |p(A)| λµ
+
(X) , |p(A)| σφ
+
(X)} , max{ |p(A)| λµ
+
(Y) , |p(A)| σφ
+
(Y)}}
= max{ max{((Aλµ)P
)+
(X), ((Aσφ)P
)+
(X)},max {((Aλµ)P
)+
(Y), ((Aσφ)P
)+
(Y)}}
= max{((Aλµ)P
∪ (Aσφ)P
) +
(X) , ((Aλµ)P
∪ (Aσφ)P
) +
(Y)}}
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014
20
ii. ((Aλµ)P
∩ (Aσφ)P
) −
(XY−1
) = min {((Aλµ)P
)−
(XY−1
) , ((Aσφ)P
)−
(XY−1
) }
= min { |p(A)| λµ
−
(XY−1
), | p(A)| σφ
−
(XY−1
)}
= |p(A)| min{ λµ
−
(XY−1
), σφ
−
( XY−1
)}
≥ |p(A)| min{min{ λµ
−
(X), λµ
−
(Y)}, min{ σφ
−
(X), σφ
−
(Y)}}
= |p(A)| min{min{ λµ
−
(X), σφ
−
(X)}, min{ λµ
−
(Y), σφ
−
(Y)}}
= min{|p(A)|{ min{λµ
−
(X), σφ
−
(X)}, min{ λµ
−
(Y), σφ
−
(Y)}}}
= min{min{|p(A)| λµ
−
(X) , |p(A)| σφ
−
(X)},min{|p(A)| λµ
−
(Y) , |p(A)| σφ
−
(Y)}}
= min{min{((Aλµ)P
)−
(X), ((Aσφ)P
)−
(X)},min {((Aλµ)P
)−
(Y), ((Aσφ)P
)−
(Y)}}
= min{((Aλµ)P
∪ (Aσφ)P
) −
(X) , ((Aλµ)P
∪ (Aσφ)P
) −
(Y)}}
Hence the Union of any two pseudo bipolar anti-fuzzy HX subgroups of a HX group ϑ is also a
pseudo bipolar anti-fuzzy HX subgroup of ϑ.
4.18 Theorem
Union of any two pseudo bipolar fuzzy HX subgroup of a HX group ϑ is also a pseudo bipolar
fuzzy HX subgroup of ϑ.
Proof: Let (Aλµ)P
= (((Aλµ)P
)+
, ((Aλµ)P
)−
) and (Aσφ)P
= (((Aσφ)P
)+
, ((Aσφ)P
)−
) be any two
pseudo bipolar fuzzy HX subgroups of a HX group ϑ.
Now, Union of any two pseudo bipolar fuzzy HX subgroup on a HX subgroup ϑ is
((Aλµ)P
∪ (Aσφ)P
) = (((Aλµ)P
∪ (Aσφ)P
) +
, ((Aλµ)P
∪ (Aσφ)P
)−
)
i. ((Aλµ)P
∪(Aσφ)P
) +
(XY−1
) = max {((Aλµ)P
)+
(XY−1
) , ((Aσφ)P
)+
(XY−1
) }
= max { |p(A)| λµ
+
(XY−1
), |p(A)| σφ
+
(XY−1
)}
= |p(A)| max{ λµ
+
(XY−1
), σφ
+
( XY−1
)}
≥ |p(A)| max{min{ λµ
+
(X), λµ
+
(Y)}, min{ σφ
+
(X), σφ
+
(Y)}}
= |p(A)| min{max{ λµ
+
(X), σφ
+
(X)}, max{ λµ
+
(Y), σφ
+
(Y)}}
= min{ |p(A)|{max{ λµ
+
(X), σφ
+
(X)}, max{ λµ
+
(Y), σφ
+
(Y)}}}
= min{max{ |p(A)| λµ
+
(X) , |p(A)| σφ
+
(X)}, max{ |p(A)| λµ
+
(Y) , |p(A)| σφ
+
(Y)}}
= min{max{((Aλµ)P
)+
(X), ((Aσφ)P
)+
(X)},max {((Aλµ)P
)+
(Y), ((Aσφ)P
)+
(Y)}}
= min{((Aλµ)P
∪ (Aσφ)P
) +
(X) , ((Aλµ)P
∪ (Aσφ)P
) +
(Y)}}
ii. ((Aλµ)P
∩ (Aσφ)P
) −
(XY−1
) = min {((Aλµ)P
)−
(XY−1
) , ((Aσφ)P
)−
(XY−1
) }
= min { |p(A)| λµ
−
(XY−1
) , |p(A)| σφ
−
(XY−1
)}
= |p(A)| min{ λµ
−
(XY−1
), σφ
−
( XY−1
)}
≤ |p(A)| min{max{λµ
−
(X), λµ
−
(Y)}, max{σφ
−
(X), σφ
−
(Y)}}
= |p(A)| max{min{ λµ
−
(X), σφ
−
(X)}, min{ λµ
−
(Y), σφ
−
(Y)}}
= max{ |p(A)|{min{λµ
−
(X), σφ
−
(X)}, min{λµ
−
(Y), σφ
−
(Y)}}}
= max{min{|p(A)| λµ
−
(X) , |p(A)| σφ
−
(X)}, min{|p(A)| λµ
−
(Y) , |p(A)| σφ
−
(Y)}}
= max{min{((Aλµ)P
)−
(X), ((Aσφ)P
)−
(X)},min {((Aλµ)P
)−
(Y), ((Aσφ)P
)−
(Y)}}
= max{((Aλµ)P
∪ (Aσφ)P
) −
(X) , ((Aλµ)P
∪ (Aσφ)P
) −
(Y)}}
Hence the Union of any two pseudo bipolar fuzzy HX subgroups of a HX group ϑ is also a
pseudo bipolar fuzzy HX subgroup of ϑ.
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014
21
CONCLUSIONS
We have given the notion of the pseudo bipolar fuzzy cosets and pseudo bipolar fuzzy cosets of
bipolar fuzzy HX subgroup and bipolar anti-fuzzy HX subgroup of a HX group. The union and
intersection of pseudo bipolar fuzzy HX subgroups and pseudo bipolar anti-fuzzy HX subgroups
of a HX group are discussed. We hope that our results can also be extended to other algebraic
system.
ACKNOWLEDGEMENTS
The authors are highly grateful to the referees for their constructive suggestions for improving the
paper.
REFERENCES
[1] Biswas, R, (1990) “Fuzzy subgroups and anti fuzzy subgroups”, Fuzzy Sets and Systems ,35, pp
121-124.
[2] Lee,K.M, (2000) “Bipolar –Valued fuzzy sets and their operations”, Proc.Int conf.on Intelligent
Technologies, Bangkok, Thailand , pp 307-312.
[3] Li Hongxing , (1987) “HX group”, BUSEFAL, 33, pp 31-37.
[4] Li Xiaoping, (2000) “The Intuitionistic fuzzy normal subgroup and its some equivalent proposition”,
BUSEFAL, 82, pp 40-44.
[5] Luo Chengzhong, Mi Honghai & Li Hongxing,(1989) “Fuzzy HX group”, BUSEFAL, 41(14), pp 97
– 106.
[6] Marudai,M & Rajendran,V, (2011) “ New Constructions on Bipolar Anti Q-fuzzy Groups and
Bipolar Anti Q-fuzzy d-ideals under (t,s) norms”, Advances in Fuzzy Mathematics , Vol. 6, No.1, pp
145 – 153.
[7] Mehmet sait Eroglu,(1989), “The homomorphic image of a fuzzy subgroup is always a fuzzy
subgroup” , Fuzzy Sets and System , 33, pp 255-256.
[8] Muthuraj,R, Muthuraman,M.S.& Sridharan.M,(2011) “ Bipolar fuzzy Sub-Bi HX group and its Bi
Level Sub-Bi HX groups”, Antarctica J.Math, 8(5), pp 427 - 434.
[9] Muthuraj,R & Sridharan.M , (2012) “ Bipolar Anti fuzzy HX group and its Lower Level Sub HX
groups”, Journal of Physical Sciences, Vol.16, pp 157- 169.
[10] Muthuraj.R & Sridharan.M (2014) “Some Properties of Bipolar fuzzy cosets of a Bipolar fuzzy and
Bipolar Anti fuzzy HX Subgroups”, IOSR Journal of Mathematics (IOSR-JM), Volume 6,pp 128-
137.
[11] Muthuraj,R & Sridharan.M, (2014) “Bipolar fuzzy HX group and its Level Sub HX groups”,
International Journal of Mathematical Archive, 5- (1), pp 230-239.
[12] Muthuraj,R & Sridharan.M,(2014) “Operations on bipolar fuzzy HX subgroups” , International
Journal of Engineering Associates, Vol. 3, Issue 5, pp 12-18.
[13] Muthuraj.R & Sridharan.M, “Operations on bipolar anti fuzzy HX subgroups”, Journal of Uncertain
Systems , (Communicated).
[14] palaniappan,N & Muthuraj.R, (2004) “Anti fuzzy group and lower level subgroups”, Antarctica
J.Math .,1(1), pp 71-76.
[15] Rosenfeld.A, (1971) “ Fuzzy Groups ”,J.Math.Anal.Appl, 35, pp 512-517.
[16] Zadeh ,L.A, (1965) “Fuzzy Sets”, Information and Control , 8, pp 338-365.
[17] Zhang ,W.R (1998) “Bipolar fuzzy sets”, Proc. of Fuzzy – IEEE, pp 835-840.
Authors
Dr.R.Muthuraj received his Ph.D degree in Mathematics from Alagappa University
Karaikudi, Tamilnadu,India in April 2010.Presently he is an Assistant Professor , PG
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014
22
& Research Department of Mathematics, H.H.The Rajah’s College, Pudukkottai – 622 001, Tamilnadu
,India. He has published over 80 papers in refereed national and International Journals.He is the reviewer
and Editor of the reputed International Journals. Eight members are doing research work under his
guidance. His research interests are Fuzzy Algebra, Lattice Theory, Discrete Mathematics, Fuzzy Topology
and Fuzzy Graph Theory.
M.Sridharan received his M.Phil degree from School of Mathematics, Madurai
Kamaraj University,Madurai, Tamilnadu,India. Now he is doing Ph.D from
Bharathidasan University Tiruchirappalli,Tamilnadu,India. Presently he is working as
an Associate Professor of Mathematics , PSNA College of Engineering and
Technology, Dindigul,Tamilnadu, India. He has published over 18 papers in reputed
national and International journals. His research area is
Fuzzy Algebra.

More Related Content

What's hot

AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...
AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...
AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...
mathsjournal
 
AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...
AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...
AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...
mathsjournal
 
AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...
AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...
AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...
mathsjournal
 
Cubic BF-Algebra
Cubic BF-AlgebraCubic BF-Algebra
Cubic BF-Algebra
AM Publications
 
SOLVING BVPs OF SINGULARLY PERTURBED DISCRETE SYSTEMS
SOLVING BVPs OF SINGULARLY PERTURBED DISCRETE SYSTEMSSOLVING BVPs OF SINGULARLY PERTURBED DISCRETE SYSTEMS
SOLVING BVPs OF SINGULARLY PERTURBED DISCRETE SYSTEMS
Tahia ZERIZER
 
Gj3611551159
Gj3611551159Gj3611551159
Gj3611551159
IJERA Editor
 
Intuitionistic Fuzzification of T-Ideals in Bci-Algebras
Intuitionistic Fuzzification of T-Ideals in Bci-AlgebrasIntuitionistic Fuzzification of T-Ideals in Bci-Algebras
Intuitionistic Fuzzification of T-Ideals in Bci-Algebras
iosrjce
 
An approach to Fuzzy clustering of the iris petals by using Ac-means
An approach to Fuzzy clustering of the iris petals by using Ac-meansAn approach to Fuzzy clustering of the iris petals by using Ac-means
An approach to Fuzzy clustering of the iris petals by using Ac-means
ijsc
 
Chpt 2-sets v.3
Chpt 2-sets v.3Chpt 2-sets v.3
Chpt 2-sets v.3
ShahidAkbar22
 
Nonlinear perturbed difference equations
Nonlinear perturbed difference equationsNonlinear perturbed difference equations
Nonlinear perturbed difference equations
Tahia ZERIZER
 
9 pd es
9 pd es9 pd es
9 pd es
Sachin Ghalme
 
Simultaneous Triple Series Equations Involving Konhauser Biorthogonal Polynom...
Simultaneous Triple Series Equations Involving Konhauser Biorthogonal Polynom...Simultaneous Triple Series Equations Involving Konhauser Biorthogonal Polynom...
Simultaneous Triple Series Equations Involving Konhauser Biorthogonal Polynom...
IOSR Journals
 
Intuitionistic Fuzzy W- Closed Sets and Intuitionistic Fuzzy W -Continuity
Intuitionistic Fuzzy W- Closed Sets and Intuitionistic Fuzzy W -ContinuityIntuitionistic Fuzzy W- Closed Sets and Intuitionistic Fuzzy W -Continuity
Intuitionistic Fuzzy W- Closed Sets and Intuitionistic Fuzzy W -Continuity
Waqas Tariq
 

What's hot (13)

AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...
AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...
AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...
 
AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...
AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...
AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...
 
AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...
AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...
AGGREGATION OF OPINIONS FOR SYSTEM SELECTION USING APPROXIMATIONS OF FUZZY NU...
 
Cubic BF-Algebra
Cubic BF-AlgebraCubic BF-Algebra
Cubic BF-Algebra
 
SOLVING BVPs OF SINGULARLY PERTURBED DISCRETE SYSTEMS
SOLVING BVPs OF SINGULARLY PERTURBED DISCRETE SYSTEMSSOLVING BVPs OF SINGULARLY PERTURBED DISCRETE SYSTEMS
SOLVING BVPs OF SINGULARLY PERTURBED DISCRETE SYSTEMS
 
Gj3611551159
Gj3611551159Gj3611551159
Gj3611551159
 
Intuitionistic Fuzzification of T-Ideals in Bci-Algebras
Intuitionistic Fuzzification of T-Ideals in Bci-AlgebrasIntuitionistic Fuzzification of T-Ideals in Bci-Algebras
Intuitionistic Fuzzification of T-Ideals in Bci-Algebras
 
An approach to Fuzzy clustering of the iris petals by using Ac-means
An approach to Fuzzy clustering of the iris petals by using Ac-meansAn approach to Fuzzy clustering of the iris petals by using Ac-means
An approach to Fuzzy clustering of the iris petals by using Ac-means
 
Chpt 2-sets v.3
Chpt 2-sets v.3Chpt 2-sets v.3
Chpt 2-sets v.3
 
Nonlinear perturbed difference equations
Nonlinear perturbed difference equationsNonlinear perturbed difference equations
Nonlinear perturbed difference equations
 
9 pd es
9 pd es9 pd es
9 pd es
 
Simultaneous Triple Series Equations Involving Konhauser Biorthogonal Polynom...
Simultaneous Triple Series Equations Involving Konhauser Biorthogonal Polynom...Simultaneous Triple Series Equations Involving Konhauser Biorthogonal Polynom...
Simultaneous Triple Series Equations Involving Konhauser Biorthogonal Polynom...
 
Intuitionistic Fuzzy W- Closed Sets and Intuitionistic Fuzzy W -Continuity
Intuitionistic Fuzzy W- Closed Sets and Intuitionistic Fuzzy W -ContinuityIntuitionistic Fuzzy W- Closed Sets and Intuitionistic Fuzzy W -Continuity
Intuitionistic Fuzzy W- Closed Sets and Intuitionistic Fuzzy W -Continuity
 

Similar to Pseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX Subgroups

Pseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX Subgroups
Pseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX SubgroupsPseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX Subgroups
Pseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX Subgroups
mathsjournal
 
A Study on Intuitionistic Multi-Anti Fuzzy Subgroups
A Study on Intuitionistic Multi-Anti Fuzzy SubgroupsA Study on Intuitionistic Multi-Anti Fuzzy Subgroups
A Study on Intuitionistic Multi-Anti Fuzzy Subgroups
mathsjournal
 
FUZZY IDEALS AND FUZZY DOT IDEALS ON BH-ALGEBRAS
FUZZY IDEALS AND FUZZY DOT IDEALS ON BH-ALGEBRASFUZZY IDEALS AND FUZZY DOT IDEALS ON BH-ALGEBRAS
FUZZY IDEALS AND FUZZY DOT IDEALS ON BH-ALGEBRAS
IAEME Publication
 
WASJ JOURNAL
WASJ JOURNALWASJ JOURNAL
WASJ JOURNAL
Mustafa El-sanfaz
 
On Some Types of Fuzzy Separation Axioms in Fuzzy Topological Space on Fuzzy ...
On Some Types of Fuzzy Separation Axioms in Fuzzy Topological Space on Fuzzy ...On Some Types of Fuzzy Separation Axioms in Fuzzy Topological Space on Fuzzy ...
On Some Types of Fuzzy Separation Axioms in Fuzzy Topological Space on Fuzzy ...
IOSR Journals
 
Interval valued intuitionistic fuzzy homomorphism of bf algebras
Interval valued intuitionistic fuzzy homomorphism of bf algebrasInterval valued intuitionistic fuzzy homomorphism of bf algebras
Interval valued intuitionistic fuzzy homomorphism of bf algebras
Alexander Decker
 
Common Fixed Point Theorems in Compatible Mappings of Type (P*) of Generalize...
Common Fixed Point Theorems in Compatible Mappings of Type (P*) of Generalize...Common Fixed Point Theorems in Compatible Mappings of Type (P*) of Generalize...
Common Fixed Point Theorems in Compatible Mappings of Type (P*) of Generalize...
mathsjournal
 
A STUDY ON L-FUZZY NORMAL SUBl -GROUP
A STUDY ON L-FUZZY NORMAL SUBl -GROUPA STUDY ON L-FUZZY NORMAL SUBl -GROUP
A STUDY ON L-FUZZY NORMAL SUBl -GROUP
mathsjournal
 
A Study on L-Fuzzy Normal Subl-GROUP
A Study on L-Fuzzy Normal Subl-GROUPA Study on L-Fuzzy Normal Subl-GROUP
A Study on L-Fuzzy Normal Subl-GROUP
mathsjournal
 
A STUDY ON L-FUZZY NORMAL SUBl -GROUP
A STUDY ON L-FUZZY NORMAL SUBl -GROUPA STUDY ON L-FUZZY NORMAL SUBl -GROUP
A STUDY ON L-FUZZY NORMAL SUBl -GROUP
mathsjournal
 
A STUDY ON L-FUZZY NORMAL SUB L -GROUP
A STUDY ON L-FUZZY NORMAL SUB L -GROUPA STUDY ON L-FUZZY NORMAL SUB L -GROUP
A STUDY ON L-FUZZY NORMAL SUB L -GROUP
mathsjournal
 
A STUDY ON L-FUZZY NORMAL SUBl -GROUP
A STUDY ON L-FUZZY NORMAL SUBl -GROUPA STUDY ON L-FUZZY NORMAL SUBl -GROUP
A STUDY ON L-FUZZY NORMAL SUBl -GROUP
ijejournal
 
A STUDY ON L-FUZZY NORMAL SUBl -GROUP
A STUDY ON L-FUZZY NORMAL SUBl -GROUPA STUDY ON L-FUZZY NORMAL SUBl -GROUP
A STUDY ON L-FUZZY NORMAL SUBl -GROUP
mathsjournal
 
A STUDY ON L-FUZZY NORMAL SUBl -GROUP
A STUDY ON L-FUZZY NORMAL SUBl -GROUPA STUDY ON L-FUZZY NORMAL SUBl -GROUP
A STUDY ON L-FUZZY NORMAL SUBl -GROUP
mathsjournal
 
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
mathsjournal
 
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
mathsjournal
 
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
mathsjournal
 
E212126
E212126E212126
Hyperfunction method for numerical integration and Fredholm integral equation...
Hyperfunction method for numerical integration and Fredholm integral equation...Hyperfunction method for numerical integration and Fredholm integral equation...
Hyperfunction method for numerical integration and Fredholm integral equation...
HidenoriOgata
 
Ch1 sets and_logic(1)
Ch1 sets and_logic(1)Ch1 sets and_logic(1)
Ch1 sets and_logic(1)
Kwonpyo Ko
 

Similar to Pseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX Subgroups (20)

Pseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX Subgroups
Pseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX SubgroupsPseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX Subgroups
Pseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX Subgroups
 
A Study on Intuitionistic Multi-Anti Fuzzy Subgroups
A Study on Intuitionistic Multi-Anti Fuzzy SubgroupsA Study on Intuitionistic Multi-Anti Fuzzy Subgroups
A Study on Intuitionistic Multi-Anti Fuzzy Subgroups
 
FUZZY IDEALS AND FUZZY DOT IDEALS ON BH-ALGEBRAS
FUZZY IDEALS AND FUZZY DOT IDEALS ON BH-ALGEBRASFUZZY IDEALS AND FUZZY DOT IDEALS ON BH-ALGEBRAS
FUZZY IDEALS AND FUZZY DOT IDEALS ON BH-ALGEBRAS
 
WASJ JOURNAL
WASJ JOURNALWASJ JOURNAL
WASJ JOURNAL
 
On Some Types of Fuzzy Separation Axioms in Fuzzy Topological Space on Fuzzy ...
On Some Types of Fuzzy Separation Axioms in Fuzzy Topological Space on Fuzzy ...On Some Types of Fuzzy Separation Axioms in Fuzzy Topological Space on Fuzzy ...
On Some Types of Fuzzy Separation Axioms in Fuzzy Topological Space on Fuzzy ...
 
Interval valued intuitionistic fuzzy homomorphism of bf algebras
Interval valued intuitionistic fuzzy homomorphism of bf algebrasInterval valued intuitionistic fuzzy homomorphism of bf algebras
Interval valued intuitionistic fuzzy homomorphism of bf algebras
 
Common Fixed Point Theorems in Compatible Mappings of Type (P*) of Generalize...
Common Fixed Point Theorems in Compatible Mappings of Type (P*) of Generalize...Common Fixed Point Theorems in Compatible Mappings of Type (P*) of Generalize...
Common Fixed Point Theorems in Compatible Mappings of Type (P*) of Generalize...
 
A STUDY ON L-FUZZY NORMAL SUBl -GROUP
A STUDY ON L-FUZZY NORMAL SUBl -GROUPA STUDY ON L-FUZZY NORMAL SUBl -GROUP
A STUDY ON L-FUZZY NORMAL SUBl -GROUP
 
A Study on L-Fuzzy Normal Subl-GROUP
A Study on L-Fuzzy Normal Subl-GROUPA Study on L-Fuzzy Normal Subl-GROUP
A Study on L-Fuzzy Normal Subl-GROUP
 
A STUDY ON L-FUZZY NORMAL SUBl -GROUP
A STUDY ON L-FUZZY NORMAL SUBl -GROUPA STUDY ON L-FUZZY NORMAL SUBl -GROUP
A STUDY ON L-FUZZY NORMAL SUBl -GROUP
 
A STUDY ON L-FUZZY NORMAL SUB L -GROUP
A STUDY ON L-FUZZY NORMAL SUB L -GROUPA STUDY ON L-FUZZY NORMAL SUB L -GROUP
A STUDY ON L-FUZZY NORMAL SUB L -GROUP
 
A STUDY ON L-FUZZY NORMAL SUBl -GROUP
A STUDY ON L-FUZZY NORMAL SUBl -GROUPA STUDY ON L-FUZZY NORMAL SUBl -GROUP
A STUDY ON L-FUZZY NORMAL SUBl -GROUP
 
A STUDY ON L-FUZZY NORMAL SUBl -GROUP
A STUDY ON L-FUZZY NORMAL SUBl -GROUPA STUDY ON L-FUZZY NORMAL SUBl -GROUP
A STUDY ON L-FUZZY NORMAL SUBl -GROUP
 
A STUDY ON L-FUZZY NORMAL SUBl -GROUP
A STUDY ON L-FUZZY NORMAL SUBl -GROUPA STUDY ON L-FUZZY NORMAL SUBl -GROUP
A STUDY ON L-FUZZY NORMAL SUBl -GROUP
 
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
 
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
 
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZE...
 
E212126
E212126E212126
E212126
 
Hyperfunction method for numerical integration and Fredholm integral equation...
Hyperfunction method for numerical integration and Fredholm integral equation...Hyperfunction method for numerical integration and Fredholm integral equation...
Hyperfunction method for numerical integration and Fredholm integral equation...
 
Ch1 sets and_logic(1)
Ch1 sets and_logic(1)Ch1 sets and_logic(1)
Ch1 sets and_logic(1)
 

More from mathsjournal

OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...
OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...
OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...
mathsjournal
 
A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...
A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...
A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...
mathsjournal
 
A Positive Integer 𝑵 Such That 𝒑𝒏 + 𝒑𝒏+𝟑 ~ 𝒑𝒏+𝟏 + 𝒑𝒏+𝟐 For All 𝒏 ≥ 𝑵
A Positive Integer 𝑵 Such That 𝒑𝒏 + 𝒑𝒏+𝟑 ~ 𝒑𝒏+𝟏 + 𝒑𝒏+𝟐 For All 𝒏 ≥ 𝑵A Positive Integer 𝑵 Such That 𝒑𝒏 + 𝒑𝒏+𝟑 ~ 𝒑𝒏+𝟏 + 𝒑𝒏+𝟐 For All 𝒏 ≥ 𝑵
A Positive Integer 𝑵 Such That 𝒑𝒏 + 𝒑𝒏+𝟑 ~ 𝒑𝒏+𝟏 + 𝒑𝒏+𝟐 For All 𝒏 ≥ 𝑵
mathsjournal
 
A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...
A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...
A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...
mathsjournal
 
Moving Target Detection Using CA, SO and GO-CFAR detectors in Nonhomogeneous ...
Moving Target Detection Using CA, SO and GO-CFAR detectors in Nonhomogeneous ...Moving Target Detection Using CA, SO and GO-CFAR detectors in Nonhomogeneous ...
Moving Target Detection Using CA, SO and GO-CFAR detectors in Nonhomogeneous ...
mathsjournal
 
OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...
OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...
OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...
mathsjournal
 
The Impact of Allee Effect on a Predator-Prey Model with Holling Type II Func...
The Impact of Allee Effect on a Predator-Prey Model with Holling Type II Func...The Impact of Allee Effect on a Predator-Prey Model with Holling Type II Func...
The Impact of Allee Effect on a Predator-Prey Model with Holling Type II Func...
mathsjournal
 
A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...
A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...
A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...
mathsjournal
 
Moving Target Detection Using CA, SO and GO-CFAR detectors in Nonhomogeneous ...
Moving Target Detection Using CA, SO and GO-CFAR detectors in Nonhomogeneous ...Moving Target Detection Using CA, SO and GO-CFAR detectors in Nonhomogeneous ...
Moving Target Detection Using CA, SO and GO-CFAR detectors in Nonhomogeneous ...
mathsjournal
 
OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...
OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...
OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...
mathsjournal
 
Modified Alpha-Rooting Color Image Enhancement Method on the Two Side 2-D Qua...
Modified Alpha-Rooting Color Image Enhancement Method on the Two Side 2-D Qua...Modified Alpha-Rooting Color Image Enhancement Method on the Two Side 2-D Qua...
Modified Alpha-Rooting Color Image Enhancement Method on the Two Side 2-D Qua...
mathsjournal
 
An Application of Assignment Problem in Laptop Selection Problem Using MATLAB
An Application of Assignment Problem in Laptop Selection Problem Using MATLABAn Application of Assignment Problem in Laptop Selection Problem Using MATLAB
An Application of Assignment Problem in Laptop Selection Problem Using MATLAB
mathsjournal
 
ON β-Normal Spaces
ON β-Normal SpacesON β-Normal Spaces
ON β-Normal Spaces
mathsjournal
 
Cubic Response Surface Designs Using Bibd in Four Dimensions
Cubic Response Surface Designs Using Bibd in Four DimensionsCubic Response Surface Designs Using Bibd in Four Dimensions
Cubic Response Surface Designs Using Bibd in Four Dimensions
mathsjournal
 
Quantum Variation about Geodesics
Quantum Variation about GeodesicsQuantum Variation about Geodesics
Quantum Variation about Geodesics
mathsjournal
 
Approximate Analytical Solution of Non-Linear Boussinesq Equation for the Uns...
Approximate Analytical Solution of Non-Linear Boussinesq Equation for the Uns...Approximate Analytical Solution of Non-Linear Boussinesq Equation for the Uns...
Approximate Analytical Solution of Non-Linear Boussinesq Equation for the Uns...
mathsjournal
 
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
mathsjournal
 
Table of Contents - September 2022, Volume 9, Number 2/3
Table of Contents - September 2022, Volume 9, Number 2/3Table of Contents - September 2022, Volume 9, Number 2/3
Table of Contents - September 2022, Volume 9, Number 2/3
mathsjournal
 
Code of the multidimensional fractional pseudo-Newton method using recursive ...
Code of the multidimensional fractional pseudo-Newton method using recursive ...Code of the multidimensional fractional pseudo-Newton method using recursive ...
Code of the multidimensional fractional pseudo-Newton method using recursive ...
mathsjournal
 
Discretization of a Mathematical Model for Tumor-Immune System Interaction wi...
Discretization of a Mathematical Model for Tumor-Immune System Interaction wi...Discretization of a Mathematical Model for Tumor-Immune System Interaction wi...
Discretization of a Mathematical Model for Tumor-Immune System Interaction wi...
mathsjournal
 

More from mathsjournal (20)

OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...
OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...
OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...
 
A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...
A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...
A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...
 
A Positive Integer 𝑵 Such That 𝒑𝒏 + 𝒑𝒏+𝟑 ~ 𝒑𝒏+𝟏 + 𝒑𝒏+𝟐 For All 𝒏 ≥ 𝑵
A Positive Integer 𝑵 Such That 𝒑𝒏 + 𝒑𝒏+𝟑 ~ 𝒑𝒏+𝟏 + 𝒑𝒏+𝟐 For All 𝒏 ≥ 𝑵A Positive Integer 𝑵 Such That 𝒑𝒏 + 𝒑𝒏+𝟑 ~ 𝒑𝒏+𝟏 + 𝒑𝒏+𝟐 For All 𝒏 ≥ 𝑵
A Positive Integer 𝑵 Such That 𝒑𝒏 + 𝒑𝒏+𝟑 ~ 𝒑𝒏+𝟏 + 𝒑𝒏+𝟐 For All 𝒏 ≥ 𝑵
 
A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...
A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...
A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...
 
Moving Target Detection Using CA, SO and GO-CFAR detectors in Nonhomogeneous ...
Moving Target Detection Using CA, SO and GO-CFAR detectors in Nonhomogeneous ...Moving Target Detection Using CA, SO and GO-CFAR detectors in Nonhomogeneous ...
Moving Target Detection Using CA, SO and GO-CFAR detectors in Nonhomogeneous ...
 
OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...
OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...
OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...
 
The Impact of Allee Effect on a Predator-Prey Model with Holling Type II Func...
The Impact of Allee Effect on a Predator-Prey Model with Holling Type II Func...The Impact of Allee Effect on a Predator-Prey Model with Holling Type II Func...
The Impact of Allee Effect on a Predator-Prey Model with Holling Type II Func...
 
A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...
A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...
A POSSIBLE RESOLUTION TO HILBERT’S FIRST PROBLEM BY APPLYING CANTOR’S DIAGONA...
 
Moving Target Detection Using CA, SO and GO-CFAR detectors in Nonhomogeneous ...
Moving Target Detection Using CA, SO and GO-CFAR detectors in Nonhomogeneous ...Moving Target Detection Using CA, SO and GO-CFAR detectors in Nonhomogeneous ...
Moving Target Detection Using CA, SO and GO-CFAR detectors in Nonhomogeneous ...
 
OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...
OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...
OPTIMIZING SIMILARITY THRESHOLD FOR ABSTRACT SIMILARITY METRIC IN SPEECH DIAR...
 
Modified Alpha-Rooting Color Image Enhancement Method on the Two Side 2-D Qua...
Modified Alpha-Rooting Color Image Enhancement Method on the Two Side 2-D Qua...Modified Alpha-Rooting Color Image Enhancement Method on the Two Side 2-D Qua...
Modified Alpha-Rooting Color Image Enhancement Method on the Two Side 2-D Qua...
 
An Application of Assignment Problem in Laptop Selection Problem Using MATLAB
An Application of Assignment Problem in Laptop Selection Problem Using MATLABAn Application of Assignment Problem in Laptop Selection Problem Using MATLAB
An Application of Assignment Problem in Laptop Selection Problem Using MATLAB
 
ON β-Normal Spaces
ON β-Normal SpacesON β-Normal Spaces
ON β-Normal Spaces
 
Cubic Response Surface Designs Using Bibd in Four Dimensions
Cubic Response Surface Designs Using Bibd in Four DimensionsCubic Response Surface Designs Using Bibd in Four Dimensions
Cubic Response Surface Designs Using Bibd in Four Dimensions
 
Quantum Variation about Geodesics
Quantum Variation about GeodesicsQuantum Variation about Geodesics
Quantum Variation about Geodesics
 
Approximate Analytical Solution of Non-Linear Boussinesq Equation for the Uns...
Approximate Analytical Solution of Non-Linear Boussinesq Equation for the Uns...Approximate Analytical Solution of Non-Linear Boussinesq Equation for the Uns...
Approximate Analytical Solution of Non-Linear Boussinesq Equation for the Uns...
 
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
 
Table of Contents - September 2022, Volume 9, Number 2/3
Table of Contents - September 2022, Volume 9, Number 2/3Table of Contents - September 2022, Volume 9, Number 2/3
Table of Contents - September 2022, Volume 9, Number 2/3
 
Code of the multidimensional fractional pseudo-Newton method using recursive ...
Code of the multidimensional fractional pseudo-Newton method using recursive ...Code of the multidimensional fractional pseudo-Newton method using recursive ...
Code of the multidimensional fractional pseudo-Newton method using recursive ...
 
Discretization of a Mathematical Model for Tumor-Immune System Interaction wi...
Discretization of a Mathematical Model for Tumor-Immune System Interaction wi...Discretization of a Mathematical Model for Tumor-Immune System Interaction wi...
Discretization of a Mathematical Model for Tumor-Immune System Interaction wi...
 

Recently uploaded

clinical examination of hip joint (1).pdf
clinical examination of hip joint (1).pdfclinical examination of hip joint (1).pdf
clinical examination of hip joint (1).pdf
Priyankaranawat4
 
Main Java[All of the Base Concepts}.docx
Main Java[All of the Base Concepts}.docxMain Java[All of the Base Concepts}.docx
Main Java[All of the Base Concepts}.docx
adhitya5119
 
What is the purpose of studying mathematics.pptx
What is the purpose of studying mathematics.pptxWhat is the purpose of studying mathematics.pptx
What is the purpose of studying mathematics.pptx
christianmathematics
 
How to Add Chatter in the odoo 17 ERP Module
How to Add Chatter in the odoo 17 ERP ModuleHow to Add Chatter in the odoo 17 ERP Module
How to Add Chatter in the odoo 17 ERP Module
Celine George
 
PCOS corelations and management through Ayurveda.
PCOS corelations and management through Ayurveda.PCOS corelations and management through Ayurveda.
PCOS corelations and management through Ayurveda.
Dr. Shivangi Singh Parihar
 
Digital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments UnitDigital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments Unit
chanes7
 
Pride Month Slides 2024 David Douglas School District
Pride Month Slides 2024 David Douglas School DistrictPride Month Slides 2024 David Douglas School District
Pride Month Slides 2024 David Douglas School District
David Douglas School District
 
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
IreneSebastianRueco1
 
How to Fix the Import Error in the Odoo 17
How to Fix the Import Error in the Odoo 17How to Fix the Import Error in the Odoo 17
How to Fix the Import Error in the Odoo 17
Celine George
 
Advantages and Disadvantages of CMS from an SEO Perspective
Advantages and Disadvantages of CMS from an SEO PerspectiveAdvantages and Disadvantages of CMS from an SEO Perspective
Advantages and Disadvantages of CMS from an SEO Perspective
Krisztián Száraz
 
Introduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp NetworkIntroduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp Network
TechSoup
 
A Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in EducationA Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in Education
Peter Windle
 
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...
NelTorrente
 
Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.
Ashokrao Mane college of Pharmacy Peth-Vadgaon
 
The History of Stoke Newington Street Names
The History of Stoke Newington Street NamesThe History of Stoke Newington Street Names
The History of Stoke Newington Street Names
History of Stoke Newington
 
The Diamonds of 2023-2024 in the IGRA collection
The Diamonds of 2023-2024 in the IGRA collectionThe Diamonds of 2023-2024 in the IGRA collection
The Diamonds of 2023-2024 in the IGRA collection
Israel Genealogy Research Association
 
Group Presentation 2 Economics.Ariana Buscigliopptx
Group Presentation 2 Economics.Ariana BuscigliopptxGroup Presentation 2 Economics.Ariana Buscigliopptx
Group Presentation 2 Economics.Ariana Buscigliopptx
ArianaBusciglio
 
The basics of sentences session 6pptx.pptx
The basics of sentences session 6pptx.pptxThe basics of sentences session 6pptx.pptx
The basics of sentences session 6pptx.pptx
heathfieldcps1
 
How to Build a Module in Odoo 17 Using the Scaffold Method
How to Build a Module in Odoo 17 Using the Scaffold MethodHow to Build a Module in Odoo 17 Using the Scaffold Method
How to Build a Module in Odoo 17 Using the Scaffold Method
Celine George
 
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
National Information Standards Organization (NISO)
 

Recently uploaded (20)

clinical examination of hip joint (1).pdf
clinical examination of hip joint (1).pdfclinical examination of hip joint (1).pdf
clinical examination of hip joint (1).pdf
 
Main Java[All of the Base Concepts}.docx
Main Java[All of the Base Concepts}.docxMain Java[All of the Base Concepts}.docx
Main Java[All of the Base Concepts}.docx
 
What is the purpose of studying mathematics.pptx
What is the purpose of studying mathematics.pptxWhat is the purpose of studying mathematics.pptx
What is the purpose of studying mathematics.pptx
 
How to Add Chatter in the odoo 17 ERP Module
How to Add Chatter in the odoo 17 ERP ModuleHow to Add Chatter in the odoo 17 ERP Module
How to Add Chatter in the odoo 17 ERP Module
 
PCOS corelations and management through Ayurveda.
PCOS corelations and management through Ayurveda.PCOS corelations and management through Ayurveda.
PCOS corelations and management through Ayurveda.
 
Digital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments UnitDigital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments Unit
 
Pride Month Slides 2024 David Douglas School District
Pride Month Slides 2024 David Douglas School DistrictPride Month Slides 2024 David Douglas School District
Pride Month Slides 2024 David Douglas School District
 
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
 
How to Fix the Import Error in the Odoo 17
How to Fix the Import Error in the Odoo 17How to Fix the Import Error in the Odoo 17
How to Fix the Import Error in the Odoo 17
 
Advantages and Disadvantages of CMS from an SEO Perspective
Advantages and Disadvantages of CMS from an SEO PerspectiveAdvantages and Disadvantages of CMS from an SEO Perspective
Advantages and Disadvantages of CMS from an SEO Perspective
 
Introduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp NetworkIntroduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp Network
 
A Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in EducationA Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in Education
 
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...
 
Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.
 
The History of Stoke Newington Street Names
The History of Stoke Newington Street NamesThe History of Stoke Newington Street Names
The History of Stoke Newington Street Names
 
The Diamonds of 2023-2024 in the IGRA collection
The Diamonds of 2023-2024 in the IGRA collectionThe Diamonds of 2023-2024 in the IGRA collection
The Diamonds of 2023-2024 in the IGRA collection
 
Group Presentation 2 Economics.Ariana Buscigliopptx
Group Presentation 2 Economics.Ariana BuscigliopptxGroup Presentation 2 Economics.Ariana Buscigliopptx
Group Presentation 2 Economics.Ariana Buscigliopptx
 
The basics of sentences session 6pptx.pptx
The basics of sentences session 6pptx.pptxThe basics of sentences session 6pptx.pptx
The basics of sentences session 6pptx.pptx
 
How to Build a Module in Odoo 17 Using the Scaffold Method
How to Build a Module in Odoo 17 Using the Scaffold MethodHow to Build a Module in Odoo 17 Using the Scaffold Method
How to Build a Module in Odoo 17 Using the Scaffold Method
 
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
 

Pseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX Subgroups

  • 1. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014 1 Pseudo Bipolar Fuzzy Cosets of Bipolar Fuzzy and Bipolar Anti-Fuzzy HX Subgroups R.Muthuraj1 and M.Sridharan2 1 PG & Research Department of Mathematics, H.H.The Rajah’s College, Pudukkottai – 622 001, Tamilnadu, India. 2 Department of Mathematics, PSNA College of Engineering and Technology, Dindigul-624 622, Tamilnadu , India. ABSTRACT In this paper, we introduce the concept of pseudo bipolar fuzzy cosets, pseudo bipolar fuzzy double cosets of a bipolar fuzzy and bipolar anti-fuzzy subgroups. We also establish these concepts to bipolar fuzzy and bipolar anti-fuzzy HX subgroups of a HX group with suitable examples. Also we discuss some of their relative properties. KEYWORDS bipolar fuzzy set, bipolar fuzzy subgroup, bipolar anti-fuzzy subgroup, pseudo bipolar fuzzy cosets, pseudo bipolar fuzzy double cosets , bipolar fuzzy HX subgroup , bipolar anti-fuzzy HX subgroup. 1. INTRODUCTION The notion of fuzzy sets was introduced by L.A. Zadeh [15]. Fuzzy set theory has been developed in many directions by many researchers and has evoked great interest among mathematicians working in different fields of mathematics. In 1971, Rosenfeld [12] introduced the concept of fuzzy subgroup. R. Biswas [1] introduced the concept of anti fuzzy subgroup of group. Li Hongxing [2] introduced the concept of HX group and the authors Chengzhong et al.[4] introduced the concept of fuzzy HX group. Palaniappan.N. et al.[12] discussed the concepts of anti-fuzzy group and its Lower level subgroups. Muthuraj.R.,et al.[7],[9] discussed the concepts of bipolar fuzzy subgroups and bipolar anti fuzzy subgroups and also discussed bipolar fuzzy HX subgroup and its level sub HX groups, bipolar anti-fuzzy HX subgroups and its lower level sub HX groups. Bhattacharya [10] introduced fuzzy right coset and fuzzy left coset of a group. B. Vasantha kandasamy [14] introduced the concept of pseudo fuzzy cosets, and pseudo fuzzy double cosets of a fuzzy group of a group. In this paper we define the concept of pseudo bipolar fuzzy cosets, pseudo bipolar fuzzy double cosets of bipolar fuzzy and bipolar anti-fuzzy subgroups of a group. Also introduce the concept of pseudo bipolar fuzzy cosets and pseudo bipolar fuzzy double cosets of bipolar fuzzy and bipolar anti-fuzzy HX subgroups of a HX group and study some of their related properties. 2. PRELIMINARIES In this section, we site the fundamental definitions that will be used in the sequel. Throughout this paper, G = (G, *) is a group, e is the identity element of G, and xy, we mean x * y.
  • 2. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014 2 2.1 Definition [15] Let X be any non empty set. A fuzzy subset µ of X is a function µ: X → [0, 1]. 2.2 Definition [1] A fuzzy set µ on G is called fuzzy subgroup of G if for x, y ∈G, i.µ(xy) ≥ min {µ(x), µ( y)} ii.µ(x-1 ) = µ(x). 2.3 Definition [1] A fuzzy set µ on G is called an anti- fuzzy subgroup of G if for x, y ∈G, i.µ(xy)≤ max {µ (x), µ(y)} ii.µ(x-1 ) = µ(x). 2.4 Definition [9] Let G be a non-empty set. A bipolar-valued fuzzy set or bipolar fuzzy set µ in G is an object having the form µ={〈x, µ+ (x), µ− (x)〉 : x∈G} where µ+ : G → [0,1] and µ− : G → [−1,0] are mappings. The positive membership degree µ+ (x) denotes the satisfaction degree of an element x to the property corresponding to a bipolar-valued fuzzy set µ ={〈x, µ+ (x), µ− (x)〉: x∈G} and the negative membership degree µ− (x) denotes the satisfaction degree of an element x to some implicit counter property corresponding to a bipolar-valued fuzzy set µ = {〈x, µ+ (x), µ− (x) 〉 : x∈G}. If µ+ (x) ≠ 0 and µ− (x) = 0, it is the situation that x is regarded as having only positive satisfaction for µ = {〈x, µ+ (x), µ− (x)〉 : x∈G}. If µ+ (x) = 0 and µ− (x) ≠ 0, it is the situation that x does not satisfy the property of µ ={〈x, µ+ (x), µ− (x)〉: x∈G}, but somewhat satisfies the counter property of µ = {〈x, µ+ (x), µ− (x)〉 : x∈G}. It is possible for an element x to be such that µ+ (x) ≠ 0 and µ− (x) ≠ 0 when the membership function of property overlaps that its counter property over some portion of G. For the sake of simplicity, we shall use the symbol µ = (µ+ ,µ− ) for the bipolar- valued fuzzy set µ = {〈x, µ+ (x), µ− (x)〉: x∈G}. 2.5 Definition [9] A bipolar-valued fuzzy set or bipolar fuzzy set µ = ( µ+ , µ− ) is called a bipolar fuzzy subgroup of G if for x, y ∈G, i. µ+ (xy) ≥ min {µ+ (x), µ+ (y)} ii. µ− (xy) ≤ max {µ− (x), µ− (y)} iii. µ+ (x−1 ) = µ+ (x) , µ− (x−1 ) = µ− (x). 2.6 Definition [9] A bipolar-valued fuzzy set or bipolar fuzzy set µ = ( µ+ , µ− ) is called a bipolar anti-fuzzy subgroup of G if for x, y ∈ G, i.µ+ (xy) ≤ max {µ+ (x), µ+ (y)} ii.µ− (xy) ≥ min {µ− (x), µ− (y)} iii.µ+ (x−1 ) = µ+ (x) , µ− (x−1 ) = µ− (x).
  • 3. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014 3 3. Pseudo Bipolar Fuzzy Cosets And Pseudo Bipolar Fuzzy Double Cosets Of Bipolar Fuzzy And Bipolar Anti-Fuzzy Subgroups And Their Properties: In this section, we define the concepts of pseudo bipolar fuzzy cosets, pseudo bipolar fuzzy double cosets of a bipolar fuzzy and bipolar anti-fuzzy subgroups of a group and discuss some of their properties. 3.1 Definition Let µ = (µ+ ,µ− ) be a bipolar fuzzy subgroup of a group G and let a ∈ G. Then the pseudo bipolar fuzzy coset (aµ)P = (((aµ)P )+ , ((aµ)P ) − ) is defined by i.((aµ)P )+ (x) = |p(a)| µ+ (x) ii.((aµ)P ) − (x) = |p(a)| µ− (x) ,for every x ∈ G and for some p∈P, where P = {p(x) / p(x)∈[−1,1] and p (x) ≠ 0 for all x ∈ G }. 3.2 Example Let G be a Klein’s four group. Then G = {e,a,b,ab} where a2 = e = b2 , ab = ba and e is the identity element of G. Define a bipolar fuzzy subset + µ = (µ ,µ )- on G as, + 0.6 ,if x = e µ (x) = 0.4 ,if x = a 0.3 ,if x = b,ab      0.7 , if x = e µ (x) = 0.6 ,if x = a 0.4 ,if x = b,ab      - - - - Let us take p as follows 0.8 ,if x = e 0.6 ,if x = a p(x) = 0.4 ,if x = b 0.3 ,if x = ab       Now we calculate the pseudo bipolar fuzzy coset of + µ = (µ ,µ )- .For the identity element e of the group G, we have p (eµ) = µ . For the element a of G, we have p + + 0.36 ,if x = e ((aµ) ) (x) = p(a) µ (x)= 0.24 ,if x = a 0.18 ,if x = b,ab     
  • 4. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014 4 p 0.42 ,if x = e ((aµ) ) (x) = p(a) µ (x) = 0.36 ,if x = a 0.24 ,if x = b,ab      - - - - - For the element b of G, we have p + + 0.24 ,if x = e ((bµ) ) (x) = p(b) µ (x) = 0.16 ,if x = a 0.12 ,if x = b,ab      p 0.28 ,if x = e ((bµ) ) (x) = p(b) µ (x) = 0.24 ,if x = a 0.16 ,if x = b,ab      - - - - - For the element ab of G, we have p + + 0.18 ,if x = e ((abµ) ) (x) = p(ab) µ (x) = 0.12 ,if x = a 0.09 ,if x = b,ab      p 0.21 ,if x = e ((abµ) ) (x) = p(ab) µ (x) = 0.18 ,if x = a 0.12 ,if x = b,ab      - - - - - Note: The pseudo bipolar fuzzy cosets of + µ = (µ ,µ )- are bipolar fuzzy subgroups of G since + + µ (e) µ (x)≥ andµ (e) µ (x)≤- - . 3.3 Definition Let + µ = (µ ,µ )- be a bipolar anti-fuzzy subgroup of a group G and let a ∈ G. Then the pseudo bipolar fuzzy coset (aµ)P = (((aµ)P )+ , ((aµ)P ) − ) is defined by i.((aµ)P )+ (x) = |p(a)| µ+ (x) ii.((aµ)P ) − (x) = |p(a)| µ− (x) , for every x ∈ G and for some p ∈ P, Where P ={p(x) / p(x) ∈ [−1,1] and p(x) ≠ 0 for all x ∈ G}. 3.4 Example Let G be a Klein’s four group. Then G = {e,a,b,ab} where a2 = e = b2 , ab = ba and e is the identity element of G. Define a bipolar fuzzy subset + µ = (µ ,µ )- on G as,
  • 5. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014 5 + 0.3 ,if x = e µ (x) = 0.5 ,if x = a 0.7 ,if x = b,ab      0.4 , if x = e µ (x) = 0.6 ,if x = a 0.8 ,if x = b,ab      - - - - Clearly + µ = (µ ,µ )- is a bipolar anti-fuzzy subgroup of G. Let us take p as follows 0.6 ,if x = e 0.5 ,if x = a p(x) = 0.7 ,if x = b 0.8 ,if x = ab       - - - - Now we calculate the pseudo bipolar fuzzy coset of + µ = (µ ,µ )- .For the identity element e of the group G ,we have p (eµ) = µ . For the element a of G, we have p + + 0.15 ,if x = e ((aµ) ) (x) = p(a) µ (x) = 0.25 ,if x = a 0.35 ,if x = b,ab      p 0.20 ,if x = e ((aµ) ) (x) = p(a) µ (x) = 0.30 ,if x = a 0.40 ,if x = b,ab      - - - - - For the element b of G, we have p + + 0.21 ,if x = e ((bµ) ) (x) = p(b) µ (x) = 0.35 ,if x = a 0.49 ,if x = b,ab      p 0.28 ,if x = e ((bµ) ) (x) = p(b) µ (x) = 0.42 ,if x = a 0.56 ,if x = b,ab      - - - - - For the element ab of G, we have
  • 6. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014 6 p + + 0.24 ,if x = e ((abµ) ) (x) = p(ab) µ (x) = 0.4 ,if x = a 0.56 ,if x = b,ab      p 0.32 ,if x = e ((abµ) ) (x) = p(ab) µ (x) = 0.48 ,if x = a 0.64 ,if x = b,ab      - - - - - Note: The pseudo bipolar fuzzy cosets of + µ = (µ ,µ )- are bipolar anti-fuzzy subgroups of G since + + µ (e) µ (x)≤ andµ (e) µ (x)≥- - . 3.5 Definition Let µ and φ be any two bipolar fuzzy subgroups of a group G, then pseudo bipolar fuzzy double coset (µaφ)p is defined by i. ((µaφ)p )+ = ((aµ)p ∩ (aφ)p )+ ii. ((µaφ)p )− = ((aµ)p ∩ (aφ)p )− where a∈G for some p∈P. 3.6 Example Let G ={1, 1,i, i}- - be a group under the binary operation multiplication. Let bipolar fuzzy subsets + µ = (µ ,µ )- and + φ = (φ ,φ )- on G are defined as, + 0.7 ,if x =1 µ (x) = 0.6 ,if x = 1 0.4 ,if x = i, i      - - 0.6 , if x =1 µ (x) = 0.4 ,if x = 1 0.3 ,if x = i, i      - - - - - - + 0.8 ,if x =1 φ (x) = 0.5 ,if x = 1 0.3 ,if x = i, i      - - 0.7 , if x =1 φ (x) = 0.3 ,if x = 1 0.2 ,if x = i, i      - - - - - - Clearly + µ = (µ ,µ )- and + φ = (φ ,φ )- are bipolar fuzzy subgroups of G. Let us take p as follows p(x) = − 0.3 for every x∈G, then the pseudo bipolar fuzzy cosets are, p + + 0.21 ,if x =1 ((aµ) ) (x) = p(a) µ (x)= 0.18 ,if x = 1 0.12 ,if x = i, i      - -
  • 7. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014 7 p 0.18 ,if x =1 ((aµ) ) (x) = p(a) µ (x) = 0.12 ,if x = 1 0.09 ,if x = i, i      - - - - - - - p + + 0.24 ,if x =1 ((aφ) ) (x) = p(a) φ (x)= 0.15 ,if x = 1 0.09 ,if x = i, i      - - p 0.21 ,if x =1 ((aφ) ) (x) = p(a) φ (x) = 0.09 ,if x = 1 0.06 ,if x = i, i      - - - - - - - Now the pseudo bipolar fuzzy double cosets are p + 0.21 ,if x =1 ((µaφ) ) (x) = 0.15 ,if x = 1 0.09 ,if x = i, i      - - p 0.18 ,if x =1 ((µaφ) ) (x) = 0.09 ,if x = 1 0.06 ,if x = i, i      - - - - - - 3.7 Definition Let µ and φ be any two bipolar anti-fuzzy subgroups of a group G, then pseudo bipolar fuzzy double coset (µaφ)p is defined by i. ((µaφ)p )+ = ((aµ)p ∩ (aφ)p )+ ii. ((µaφ)p )− = ((aµ)p ∩ (aφ)p )− where a∈G for some p∈P. 3.8 Example Let G ={1, 1,i, i}- - be a group under the binary operation multiplication. Define bipolar fuzzy subsets + µ = (µ ,µ )- and + φ = (φ ,φ )- on G as, + 0.4 ,if x =1 µ (x) = 0.6 ,if x = 1 0.7 ,if x = i, i      - - 0.3 , if x =1 µ (x) = 0.4 ,if x = 1 0.6 ,if x = i, i      - - - - - - + 0.3 ,if x =1 φ (x) = 0.5 ,if x = 1 0.8 ,if x = i, i      - - 0.2, if x =1 φ (x) = 0.5 ,if x = 1 0.7 ,if x = i, i      - - - - - - Clearly, + µ = (µ ,µ )- and + φ = (φ ,φ )- are bipolar anti-fuzzy subgroups of G.
  • 8. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014 8 Let us take p as follows p(x) = 0.2 for every x∈G, then the pseudo bipolar fuzzy cosets are, p + + 0.08 ,if x =1 ((aµ) ) (x) = p(a) µ (x)= 0.12 ,if x = 1 0.14 ,if x = i, i      - - p 0.06 ,if x =1 ((aµ) ) (x) = p(a) µ (x) = 0.08 ,if x = 1 0.12 ,if x = i, i      - - - - - - - p + + 0.06 ,if x =1 ((aφ) ) (x) = p(a) φ (x) = 0.10 ,if x = 1 0.16 ,if x = i, i      - - p 0.04 ,if x =1 ((aφ) ) (x) = p(a) φ (x) = 0.1 ,if x = 1 0.14 ,if x = i, i      - - - - - - - Now the pseudo bipolar fuzzy double cosets are p + 0.08 ,if x =1 ((µaφ) ) (x) = 0.12 ,if x = 1 0.16 ,if x = i, i      - - p 0.06 ,if x =1 ((µaφ) ) (x) = 0.1 ,if x = 1 0.14 ,if x = i, i      - - - - - - 3.9 Theorem If + µ = (µ ,µ )- be a bipolar fuzzy subgroup of a group G, then the pseudo bipolar fuzzy coset (aµ)P = (((aµ)P )+ , ((aµ)P )− ) is a bipolar fuzzy subgroup of a group G. Proof:Let + µ = (µ ,µ )- be a bipolar fuzzy subgroup of a group G. For every x and y in G, we have, i. ((aµ)P )+ (xy −1 ) = |p(a)| µ+ (xy−1 ) ≥ |p(a)| min { µ+ (x), µ+ (y)} = min {|p(a)| µ+ (x), |p(a)| µ+ (y)} = min {((aµ)P )+ (x), ((aµ)P )+ (y)} Therefore, ((aµ)P )+ (xy −1 ) ≥ min {((aµ)P )+ (x), ((aµ)P )+ (y)} ii. ((aµ)P )− (xy −1 ) = | p(a)| µ− (xy −1 ) ≤ | p(a)| max{ µ− (x), µ− (y)}
  • 9. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014 9 = max {| p(a)| µ− (x), | p(a)| µ− (y)} = max {((aµ)P )− (x), ((aµ)P )− (y)} Therefore, ((aµ)P )− (xy −1 ) ≤ max{((aµ)P )− (x), ((aµ)P )− (y)} Hence (aµ)P is a bipolar fuzzy subgroup of a group G. Note: (aµ)P is called as a pseudo bipolar fuzzy subgroup of a group G if |p(a)| ≤ |p(e)| , for every a∈G. 3.10 Theorem If + µ = (µ ,µ )- be a bipolar anti-fuzzy subgroup of a group G, then the pseudo bipolar fuzzy coset (aµ)P = (((aµ)P )+ , ((aµ)P )− ) is a bipolar anti-fuzzy subgroup of a group G. Proof:It is clear from the Theorem 3.9 Note: (aµ)P is called as a pseudo bipolar anti-fuzzy subgroup of a group G if |p(a)| ≥ |p(e)|, for every a∈G. 3.11 Theorem If + µ = (µ ,µ )- and + φ = (φ ,φ )- are two bipolar fuzzy subgroups of a group G, then the pseudo bipolar fuzzy double coset (µaφ)P = (((µaφ)P )+ , ((µaφ)P )− ) determined by µ and φ is also a bipolar fuzzy subgroup of the group G. Proof: For all x,y ∈ G, i. ((µaφ)P )+ (xy −1 ) = {((aµ)P ∩ (aφ)P ) + }(xy −1 ) = min { ((aµ)P )+ (xy−1 ) , ((aφ)P )+ (xy−1 )} = min { |p(a)| µ+ (xy−1 ) , |p(a)| φ+ (xy−1 )} = |p(a)| min { µ+ (xy−1 ) , φ+ (xy−1 )} ≥ |p(a)| min {min { µ+ (x), µ+ (y)}, min{ φ+ (x), φ+ (y) }} = |p(a)| min {min { µ+ (x) , φ+ (x)}, min{ µ+ (y) , φ+ (y)}} = min{min{|p(a)| µ+ (x) , |p(a)| φ+ (x)}, min { |p(a)| µ+ (y), |p(a)| φ+ (y)}} = min{min{((aµ)P )+ (x),((aφ)P )+ (x)},min{((aµ)P )+ (y),((aφ)P )+ (y)}} = min {((aµ)P ∩ (aφ)P ) + (x) , ((aµ)P ∩ (aφ)P ) + (y)} = min {(( µaφ)P )+ (x) , ((µaφ)P )+ (y) } ii. ((µaφ)P ) − ( xy−1 ) = {((aµ)P ∩ (aφ)P ) − }( xy−1 ) = max { ((aµ)P )− (xy−1 ) , ((aφ)P )− (xy−1 )} = max { | p(a)| µ− (xy−1 ) , | p(a)| φ− (xy−1 )} = |p(a)| max { µ− (xy−1 ) , φ− (xy−1 )} ≤ |p(a)| max {max { µ− (x), µ− (y)}, max{ φ− (x), φ− (y) }} = |p(a)| max {max { µ− (x), φ− (x)}, max{ µ− (y) , φ− (y)}} = max{max{|p(a)| µ− (x) , |p(a)| φ− (x)}, max{|p(a)| µ− (y), |p(a)| φ− (y)}}
  • 10. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014 10 = max {max{((aµ)P )− (x), ((aφ)P )− (x)}, max{((aµ)P )− (y), ((aφ)P )− (y)}} = max {((aµ)P ∩ (aφ)P ) − (x) , ((aµ)P ∩ (aφ)P ) − (y)} = max {(( µaφ)P ) − (x) , ((µaφ)P ) − (y) } Hence, (µaφ)P = (((µaφ)P )+ , ((µaφ)P )− ) is a bipolar fuzzy subgroup of the group G. 3.12 Theorem If + µ = (µ ,µ )- and + φ = (φ ,φ )- are two bipolar anti-fuzzy subgroups of a group G, then the pseudo bipolar fuzzy double coset (µaφ)P = (((µaφ)P )+ , ((µaφ)P )− ) is also a bipolar anti- fuzzy subgroup of the group G. Proof: For all x,y ∈ G, i. ((µaφ)P )+ (xy −1 ) = {((aµ)P ∩ (aφ)P ) + }(xy −1 ) = max { ((aµ)P )+ (xy−1 ) , ((aφ)P )+ (xy−1 )} = max { |p(a)| µ+ (xy−1 ) , |p(a)| φ+ (xy−1 )} = |p(a)| max { µ+ (xy−1 ) , φ+ (xy−1 )} ≤ |p(a)| max {max { µ+ (x), µ+ (y)}, max{ φ+ (x), φ+ (y) }} = |p(a)| max {max { µ+ (x) , φ+ (x)}, max{ µ+ (y) , φ+ (y)}} = max{max{|p(a)| µ+ (x), |p(a)| φ+ (x)},max { |p(a)| µ+ (y), |p(a)| φ+ (y)}} = max{max{((aµ)P )+ (x),((aφ)P )+ (x)},max{((aµ)P )+ (y),((aφ)P )+ (y)}} = max {((aµ)P ∩ (aφ)P ) + (x) , ((aµ)P ∩ (aφ)P ) + (y)} = max {(( µaφ)P )+ (x) , ((µaφ)P )+ (y) } ii. ((µaφ)P ) − ( xy−1 ) = {((aµ)P ∩ (aφ)P ) − }( xy−1 ) = min { ((aµ)P )− (xy−1 ) , ((aφ)P )− (xy−1 )} = min { |p(a)| µ− (xy−1 ) , |p(a)| φ− (xy−1 )} = |p(a)| min { µ− (xy−1 ) , φ− (xy−1 )} ≥ |p(a)| min {min { µ− (x), µ− (y)}, min{ φ− (x), φ− (y) }} = |p(a)| min {min { µ− (x), φ− (x)}, min{ µ− (y) , φ− (y)}} = min{min{|p(a)| µ− (x) , |p(a)| φ− (x)}, min{|p(a)| µ− (y), |p(a)| φ− (y)}} = min {min{((aµ)P )− (x), ((aφ)P )− (x)}, min {((aµ)P )− (y), ((aφ)P )− (y)}} = min {((aµ)P ∩ (aφ)P ) − (x) , ((aµ)P ∩ (aφ)P ) − (y)} = min {((µaφ)P ) − (x) , ((µaφ)P ) − (y) } Hence, (µaφ)P = (((µaφ)P )+ , ((µaφ)P )− ) is a bipolar anti-fuzzy subgroup of the group G. 4. Pseudo bipolar fuzzy cosets and Pseudo bipolar fuzzy double cosets of bipolar fuzzy and bipolar anti-fuzzy HX subgroups and their properties: In this section, we define the concepts of pseudo bipolar fuzzy cosets, pseudo bipolar fuzzy double cosets of a bipolar fuzzy and bipolar anti-fuzzy HX subgroups of a HX group and discuss some of their properties.
  • 11. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014 11 4.1 Definition [2] Let G be a finite group. In 2G −{φ}, a nonempty set ϑ ⊂ 2G −{φ} is called a HX group on G, if ϑ is a group with respect to the algebraic operation defined by AB = { ab /a ∈ A and b ∈ B}, which its unit element is denoted by E. 4.2 Definition [9] Let ϑ be a non-empty set. A bipolar-valued fuzzy set or bipolar fuzzy set λµ in ϑ is an object having the form λµ = {〈A, λµ + (A), λµ − (A)〉 : A ∈ ϑ} where λµ + : ϑ → [0,1] and λµ − : ϑ → [−1,0] are mappings. The positive membership degree λµ + (A) denotes the satisfaction degree of an element A to the property corresponding to a bipolar-valued fuzzy set λµ = {〈A, λµ + (A), λµ − (A)〉: A ∈ ϑ } and the negative membership degree λµ − (A) denotes the satisfaction degree of an element A to some implicit counter property corresponding to a bipolar-valued fuzzy set λµ ={〈A, λµ + (A), λµ − (A)〉: A ∈ ϑ}. If λµ + (A) ≠ 0 and λµ − (A) = 0, it is the situation that A is regarded as having only positive satisfaction for λµ = {〈A, λµ + (A), λµ − (A)〉: A ∈ ϑ}. If λµ + (A) = 0 and λµ − (A) ≠ 0, it is the situation that A does not satisfy the property of λµ = {〈A, λµ + (A), λµ − (A)〉 : A ∈ ϑ} , but somewhat satisfies the counter property of λµ = {〈A, λµ + (A), λµ − (A)〉: A∈ϑ}. It is possible for an element A to be such that λµ + (A) ≠ 0 and λµ − (A) ≠ 0 when the membership function of property overlaps that its counter property over some portion of ϑ. For the sake of simplicity, we shall use the symbol λµ = ( λµ + , λµ − ) for the bipolar-valued fuzzy set λµ = {〈A, λµ + (A), λµ − (A)〉: A ∈ ϑ}. 4.3 Definition [9] Let + µ = (µ ,µ )- be a bipolar fuzzy subset defined on G. Let ϑ ⊂ 2G −{φ} be a HX group of G. A bipolar fuzzy set λµ = (λµ + , λµ − ) defined on ϑ is said to be a bipolar fuzzy subgroup induced by µ on ϑ or a bipolar fuzzy HX subgroup of ϑ if for A,B ∈ϑ, i.λµ + (AB) ≥ min{ λµ + (A), λµ + (B)} ii.λµ − (AB) ≤ max{ λµ − (A), λµ − (B)} iii.λµ + (A−1 ) = λµ + (A) , λµ − (A−1 ) = λµ − (A). Where λµ + (A) = max {µ+ (x) / for all x ∈ A ⊆ G} and λµ − (A) = min {µ− (x) / for all x ∈ A ⊆ G}. Remark [9] i. If µ is a bipolar fuzzy subgroup of G then the bipolar fuzzy subset λµ = (λµ + , λµ − ) is a fuzzy HX subgroup on ϑ. ii. Let µ be a bipolar fuzzy subset of a group G. If λµ = (λµ + , λµ − ) is a bipolar fuzzy HX subgroup on ϑ, then µ need not be a bipolar fuzzy subgroup of G. 4.4 Definition [9] Let + µ = (µ ,µ )- be a bipolar fuzzy subset defined on G. Let ϑ ⊂ 2G −{φ} be a HX group of G. A bipolar fuzzy set λµ = (λµ + , λµ − ) defined on ϑ is said to be a bipolar anti- fuzzy subgroup induced by µ on ϑ or a bipolar anti-fuzzy HX subgroup of ϑ if for A, B∈ϑ,
  • 12. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014 12 i.λµ + (AB) ≤ max { λµ + (A), λµ + (B)} ii.λµ − (AB) ≥ min { λµ − (A), λµ − (B)} iii.λµ + (A−1 ) = λµ + (A) , λµ − (A−1 ) = λµ − (A). Where λµ + (A) = min {µ+ (x) / for all x ∈ A ⊆ G} and λµ − (A) = max{µ− (x) / for all x ∈ A ⊆ G} Remark [7] 1.If + µ = (µ ,µ )- is a bipolar anti-fuzzy subgroup of G then λµ = (λµ + , λµ − ) is a bipolar anti- fuzzy HX subgroup on ϑ. 2.Let + µ = (µ ,µ )- be a bipolar fuzzy subset of a group G. If λµ = (λµ + , λµ − ) is a bipolar anti- fuzzy HX subgroup on ϑ,then + µ = (µ ,µ )- need not be a bipolar anti-fuzzy subgroup of G. 4.5 Definition Let λµ = (λµ + ,λµ − ) be a bipolar fuzzy HX subgroup of a HX group ϑ and A ∈ ϑ. Then the pseudo bipolar fuzzy coset (Aλµ)P = (((Aλµ)P )+ , ((Aλµ)P )− ) is defined by i.((Aλµ)P )+ (X) = |p(A)| λµ + (X) ii.((Aλµ)P ) − (X) = |p(A)| λµ − (X).For every X ∈ ϑ and iii. for some p∈ P Where P = {p(X) / p(X) ∈ [−1,1] and p(X) ≠ 0 for all X∈ϑ}. 4.6 Example Let G ={1, 1,i, i}- - be a group under the binary operation multiplication. Define a bipolar fuzzy subset + µ = (µ ,µ )- on G as, + 0.8 ,if x =1 µ (x) = 0.7 ,if x = 1 0.5 ,if x = i, i      - - 0.7 , if x =1 µ (x) = 0.6 ,if x = 1 0.4 ,if x = i, i      - - - - - - Clearly + µ = (µ ,µ )- is a bipolar fuzzy subgroup of G. Let ϑ = {{1, −1},{i, −i}} = { E,A } , where E = {1, −1} , A = {i, −i} .Clearly (ϑ, ⋅) is a HX group. Let λµ = (λµ + ,λµ − ) be a bipolar fuzzy subset on ϑ induced by + µ = (µ ,µ )- on G is, + µ 0.8 ,if X = E λ (X) = 0.5 ,if X = A    µ 0.7 , if X = E λ (X) = 0.4 ,if X = A    - - -
  • 13. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014 13 Let us take p as follows: 0.5 ,if X = E p(X) = 0.66 ,if X = A    the pseudo bipolar fuzzy cosets are, i. p + µ((Eλ ) ) (X) = + µ 0.40 ,if X = E p(E) λ (X) = 0.25 ,if X = A    p µ((Eλ ) ) (X) =- µ 0.35 ,if X = E p(E) λ (X) = 0.20 ,if X = A    - - - ii. p + µ((Aλ ) ) (X) = + µ 0.528 ,if X = E p(A) λ (X) = 0.132 ,if X = A    p µ((Aλ ) ) (X) =- µ 0.452 ,if X = E p(A) λ (X) = 0.264 ,if X = A    - - - Note: If p(X) = 1± , for all X∈ϑ, then (X λµ) p = λµ . 4.7 Definition Let λµ = (λµ + ,λµ − ) be a bipolar anti-fuzzy HX subgroup of a HX group ϑ and let A ∈ ϑ. Then the pseudo bipolar fuzzy coset (Aλµ)P = (((Aλµ)P )+ , ((Aλµ)P )− ) is defined by i.((Aλµ)P )+ (X) = |p(A)| λµ + (X) ii.((Aλµ)P ) − (X) = | p(A)| λµ − (X) iii. for every X ∈ ϑ and for some p∈ P, Where P = { p(X) / p(X) ∈ [−1,1] and p(X) ≠ 0 for all X∈ϑ}. 4.8 Example Let G = { e,a,b,ab } be a group under the binary operation multiplication. Where a2 = e = b2 , ab = ba and e is the identity element of G .Define a bipolar fuzzy subset µ = (µ+ ,µ− ) on G as, + 0.4 ,if x = e µ (x) = 0.5 ,if x = a 0.8 ,if x = b,ab      0.5 , if x = e µ (x) = 0.6 ,if x = a 0.7 ,if x = b,ab      - - - - Clearly + µ = (µ ,µ )- is a bipolar anti fuzzy subgroup of G. Let ϑ = {{e,a},{b,ab}} = { E,A } , where E = {e,a} , A = {b,ab} .Clearly (ϑ, ⋅) is a HX group.
  • 14. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014 14 Let λµ = (λµ + ,λµ − ) be a bipolar fuzzy subset on ϑ induced by µ = (µ+ ,µ− ) on G is, + µ 0.4 ,if X = E λ (X) = 0.8 ,if X = A    µ 0.5 , if X = E λ (X) = 0.7 ,if X = A    - - - Let us take p as follows: 0.6 ,if X = E p(X) = 0.5 ,if X = A    the pseudo bipolar fuzzy cosets are, i. p + µ((Eλ ) ) (X) = + µ 0.24 ,if X = E p(E) λ (X) = 0.48 ,if X = A    p µ((Eλ ) ) (X) =- µ 0.3 ,if X = E p(E) λ (X) = 0.42 ,if X = A    - - - ii. p + µ((Aλ ) ) (X) = + µ 0.2 ,if X = E p(A) λ (X) = 0.4 ,if X = A    p µ((Aλ ) ) (X) =- µ 0.25 ,if X = E p(A) λ (X) = 0.35 ,if X = A    - - - Note: If p(X) = 1± and p(X) 0≠ , for all X∈ϑ, then (X λµ) p = λµ . 4.9 Definition Let λµ = (λµ + , λµ − ) and σφ = (σφ + , σφ − ) be any two bipolar fuzzy HX subgroups of a HX group ϑ, then pseudo bipolar fuzzy double coset (λµAσφ)P = (((λµAσφ)P )+, ((λµAσφ)P )− ) is defined by i.((λµAσφ)P )+ (X) = ((Aλµ)P ∩ (Aσφ)P )+ (X) = min{((Aλµ)P )+ (X) , ((Aσφ)P )+ (X) } ii.((λµAσφ)P )− (X) = ((Aλµ)P ∩ (Aσφ)P )− (X) = max{((Aλµ)P )− (X), ((Aσφ)P )− (X)} for every X ∈ ϑ and for some p∈ P , Where P = {p(X) / p(X) ∈ [−1,1] , p(X) ≠ 0 for all X∈ϑ}. 4.10 Example Let G ={1, 1,i, i}- - be a group under the binary operation multiplication. Define a bipolar fuzzy subsets + µ = (µ ,µ )- and + φ = (φ ,φ )- on G as, + 0.8 ,if x =1 µ (x) = 0.6 ,if x = 1 0.3 ,if x = i, i      - - 0.6 , if x =1 µ (x) = 0.4 ,if x = 1 0.2 ,if x = i, i      - - - - - -
  • 15. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014 15 + 0.9 ,if x =1 φ (x) = 0.5 ,if x = 1 0.2 ,if x = i, i      - - 0.8 , if x =1 φ (x) = 0.6 ,if x = 1 0.1 ,if x = i, i      - - - - - - and let ϑ = {{1, −1},{i, −i}} = {E,A} , where E = {1, −1} , A = {i, −i}.Clearly (ϑ, ⋅) is a HX group. Let λµ = (λµ + , λµ − ) and σφ = (σφ + , σφ − ) are bipolar fuzzy subsets on ϑ induced by + µ = (µ ,µ )- and + φ = (φ ,φ )- on G are + µ 0.8 ,if X = E λ (X) = 0.3 ,if X = A    µ 0.6 , if X = E λ (X) = 0.2 ,if X = A    - - - + φ 0.9 ,if X = E σ (X) = 0.2 ,if X = A    φ 0.8 , if X = E σ (X) = 0.1 ,if X = A    - - - Then the pseudo fuzzy cosets (Aλµ)p and (Aσφ)p for p (X) = − 0.4 , for every X ∈ ϑ is i. p + µ((Aλ ) ) (X) = + µ 0.32 ,if X = E p(A) λ (X) = 0.12 ,if X = A    p µ((Aλ ) ) (X) =- µ 0.24 ,if X = E p(A) λ (X) = 0.08 ,if X = A    - - - ii. p + φ((Aσ ) ) (X) = + φ 0.36 ,if X = E p(A) σ (X) = 0.08 ,if X = A    p φ((Aσ ) ) (X) =- φ 0.32 ,if X = E p(A) σ (X) = 0.04 ,if X = A    - - - and Now the pseudo bipolar fuzzy double coset determined by λµ and σφ is given by ( )( ) +p µ φ 0.32 ,if X = E λ Aσ (X) = 0.08 ,if X = A    , ( )( )p µ φ 0.24 ,if X = E λ Aσ (X) = 0.04 ,if X = A    - - - Note:
  • 16. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014 16 Similarly we can define pseudo bipolar fuzzy double cosets on a bipolar anti-fuzzy HX subgroup of a HX group. 4.11 Theorem If λµ = (λµ + , λµ − ) be a bipolar fuzzy HX subgroup of a HX group ϑ, then the pseudo bipolar fuzzy coset (Aλµ)P = (((Aλµ)P )+ , ((Aλµ)P )− ) is a bipolar fuzzy HX subgroup of a HX group ϑ. Proof:Let λµ = (λµ + , λµ − ) be a bipolar fuzzy HX subgroup of a HX group ϑ. For every X and Y in ϑ, we have, i. ((Aλµ)P )+ (XY−1 ) = |p(A)| λµ + (XY−1 ) ≥ |p(A)| min { λµ + (X), λµ + (Y)} = min { |p(A)| λµ + (X), |p(A)| λµ + (Y)} = min {((Aλµ)P )+ (X), ((Aλµ)P )+ (Y)} Therefore, ((Aλµ)P )+ (XY-1 ) ≥ min {((Aλµ)P )+ (X), ((Aλµ)P )+ (Y)} ii. ((Aλµ)P )− (XY−1 ) = |p(A)| λµ − (XY−1 ) ≤ |p(A)| max{ λµ − (X), λµ − (Y)} = max {|p(A)| λµ − (X), |p(A)| λµ − (Y)} = max {((Aλµ)P )− (X), ((Aλµ)P )− (Y)} Therefore, ((Aλµ)P )− (XY−1 ) ≤ max{((Aλµ)P )− (X), ((Aλµ)P )− (Y)} Hence (Aλµ)P is a bipolar fuzzy HX subgroup of a HX group ϑ. Note: (Aλµ)P is called as a pseudo bipolar fuzzy HX subgroup of ϑ if |p(A)| ≤ |p(E)| for every A ∈ ϑ. 4.12 Theorem If λµ = (λµ + , λµ − ) be a bipolar anti-fuzzy HX subgroup of a HX group ϑ, then the pseudo bipolar fuzzy coset (Aλµ)P is also a bipolar anti-fuzzy HX subgroup of a HX group ϑ. Proof: it is clear from Theorem 4.11. Note: (Aλµ)P is also called as pseudo bipolar anti-fuzzy HX subgroup of ϑ if |p(A)| ≥ |p(E)| for every A ∈ ϑ. 4.13 Theorem If λµ = (λµ + , λµ − ) and σφ = (σφ + , σφ − ) are two bipolar fuzzy HX subgroups of a HX group ϑ, then the pseudo bipolar fuzzy double coset (λµAσφ)P = (((λµAσφ)P )+ , ((λµAσφ)P )− ) determined by λµ and σφ is also a bipolar fuzzy HX subgroup of the HX group ϑ. Proof: For all X, Y ∈ ϑ, i. ((λµAσφ)P )+ (XY−1 ) = {((Aλµ)P ∩ (Aσφ)P ) + }(XY−1 )
  • 17. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014 17 = min { ((Aλµ)P )+ (XY−1 ) , ((Aσφ)P )+ (XY−1 )} = min { |p(A)| λµ + (XY−1 ) , |p(A)| σφ + (XY−1 )} = |p(A)| min { λµ + (XY−1 ) , σφ + (XY−1 )} ≥ |p(A)| min {min { λµ + (X), λµ + (Y)}, min{ σφ + (X), σφ + (Y) }} = |p(A)| min {min { λµ + (X) , σφ + (X)}, min{ λµ + (Y) , σφ + (Y)}} = min{min{ |p(A)| λµ + (X) , |p(A)| σφ + (X)}, min { |p(A)| λµ + (Y), |p(A)| σφ + (Y)}} = min{min{((Aλµ)P )+ (X),((Aσφ)P )+ (X)},min{((Aλµ)P )+ (X),((Aσφ)P )+ (X)}} = min {((Aλµ)P ∩ (Aσφ)P ) + (X) , ((Aλµ)P ∩ (Aσφ)P ) + (Y)} = min {((λµAσφ)P )+ (X) , ((λµAσφ)P )+ (Y) } ii.((λµAσφ)P ) − (XY−1 ) = {((Aλµ)P ∩ (Aσφ)P ) − }(XY−1 ) = max { ((Aλµ)P )− (XY−1 ) , ((Aσφ)P )− (XY−1 )} = max { |p(A)| λµ − (XY−1 ) , |p(A)| σφ − (XY−1 )} = |p(A)| max { λµ − (XY−1 ) , σφ − (XY−1 )} ≤ |p(A)| max {max { λµ − (X), λµ − (Y)}, max{ σφ − (X), σφ − (Y) }} = |p(A)| max {max { λµ − (X), σφ − (X)}, max{ λµ − (Y) , σφ − (Y)}} = max{max{|p(A)| λµ − (X) , |p(A)| σφ − (X)}, max{|p(A)| λµ − (Y), |p(A)| σφ − (Y)}} = max {max{((Aλµ)P )− (X), ((Aσφ)P )− (X)}, max{((Aλµ)P )− (Y), ((Aσφ)P )− (Y)}} = max {((Aλµ)P ∩ (Aσφ)P ) − (X) , ((Aλµ)P ∩ (Aσφ)P ) − (Y)} = max {((λµAσφ)P ) − (X) , ((λµAσφ)P ) − (Y) } Hence, (λµAσφ)P = (((λµAσφ)P )+ ,((λµAσφ)P )− ) is bipolar fuzzy HX subgroup of the HX group ϑ. 4.14 Theorem If λµ = (λµ + , λµ − ) and σφ = (σφ + , σφ − ) are two bipolar anti-fuzzy HX subgroups of a HX group ϑ, then the pseudo bipolar fuzzy double coset (λµAσφ)P = (((λµAσφ)P )+ , ((λµAσφ)P )− ) determined by λµ and σφ is also a bipolar anti-fuzzy HX subgroup of the HX group ϑ. Proof : For all X, Y ∈ ϑ, i. ((λµAσφ)P )+ (XY−1 ) = {((Aλµ)P ∩ (Aσφ)P ) + }(XY−1 ) = min { ((Aλµ)P )+ (XY−1 ) , ((Aσφ)P )+ (XY−1 )} = min { |p(A)| λµ + (XY−1 ) , |p(A)| σφ + (XY−1 )} = |p(A)| min { λµ + (XY−1 ) , σφ + (XY−1 )} ≤ |p(A)| min {max { λµ + (X), λµ + (Y)}, max{ σφ + (X), σφ + (Y) }} = |p(A)| max {min { λµ + (X) , σφ + (X)}, min{ λµ + (Y) , σφ + (Y)}} = max{min{ |p(A)| λµ + (X) , |p(A)| σφ + (X)}, min { |p(A)| λµ + (Y) , |p(A)| σφ + (Y)}} = max{min{((Aλµ)P )+ (X),((Aσφ)P )+ (X)},min{((Aλµ)P )+ (Y),((Aσφ)P )+ (Y)}} = max {((Aλµ)P ∩ (Aσφ)P ) + (X) , ((Aλµ)P ∩ (Aσφ)P ) + (Y)} = max {((λµAσφ)P )+ (X) , ((λµAσφ)P )+ (Y) } ii.((λµAσφ)P ) − (XY−1 ) = {((Aλµ)P ∩ (Aσφ)P ) − }(XY−1 ) = max { ((Aλµ)P ) − (XY−1 ) , ((Aσφ)P )− (XY−1 )} = max { |p(A)| λµ − (XY−1 ) , |p(A)| σφ − (XY−1 )} = |p(A)| max { λµ − (XY−1 ) , σφ − (XY−1 )} ≥ |p(A)| max {min { λµ − (X), λµ − (Y)}, min{ σφ − (X), σφ − (Y) }} = |p(A)| min {max { λµ − (X), σφ − (X)}, max{ λµ − (Y) , σφ − (Y)}} = min{max{|p(A)| λµ − (X), |p(A)| σφ − (X)}, max{|p(A)| λµ − (Y), |p(A)| σφ − (Y)}} = min {max{((Aλµ)P ) − (X), ((Aσφ)P )− (X)}, max{((Aλµ)P ) − (Y), ((Aσφ)P )− (Y)}}
  • 18. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014 18 = min {((Aλµ)P ∩ (Aσφ)P ) − (X) , ((Aλµ)P ∩ (Aσφ)P ) − (Y)} = min {((λµAσφ)P ) − (X) , ((λµAσφ)P ) − (Y) } Hence, (λµAσφ)P = (((λµAσφ)P )+ , ((λµAσφ)P )− ) is a bipolar anti-fuzzy HX subgroup of the HX group ϑ. 4.15 Theorem Intersection of any two pseudo bipolar fuzzy HX subgroup on a HX subgroup ϑ is also a pseudo bipolar fuzzy HX subgroup of ϑ. Proof:Let (Aλµ)P = (((Aλµ)P )+ , ((Aλµ)P )− ) and (Aσφ)P = (((Aσφ)P )+ , ((Aσφ)P )− ) be any two pseudo bipolar fuzzy HX subgroups of a HX group ϑ.Now, Intersection of any two pseudo bipolar fuzzy HX subgroup on a HX subgroup ϑ is ((Aλµ)P ∩ (Aσφ)P ) = (((Aλµ)P ∩ (Aσφ)P ) + , ((Aλµ)P ∩ (Aσφ)P )− ) i. ((Aλµ)P ∩ (Aηφ)P ) + (XY−1 ) = min {((Aλµ)P )+ (XY−1 ) , ((Aσφ)P )+ (XY−1 ) } = min { |p(A)| λµ + (XY−1 ), p+ (A) σφ + (XY−1 )} = |p(A)| min{ λµ + (XY−1 ), σφ + ( XY−1 )} ≥ |p(A)| min{min{ λµ + (X), λµ + (Y)}, min{ σφ + (X), σφ + (Y)}} = |p(A)| min{min{ λµ + (X), σφ + (X)}, min{ λµ + (Y), σφ + (Y)}} = min{ |p(A)|{ min{ λµ + (X), σφ + (X)}, min{ λµ + (Y), σφ + (Y)}}} = min{min{ |p(A)| λµ + (X) , |p(A)| σφ + (X)},min{ |p(A)| λµ + (Y) , |p(A)| σφ + (Y)}} = min {min{((Aλµ)P )+ (X), ((Aσφ)P )+ (X)},min {((Aλµ)P )+ (Y), ((Aσφ)P )+ (Y)}} = min {((Aλµ)P ∩ (Aσφ)P ) + (X) , ((Aλµ)P ∩ (Aσφ)P ) + (Y)}} i. ((Aλµ)P ∩ (Aσφ)P ) − (XY−1 ) = max {((Aλµ)P ) − (XY−1 ) , ((Aσφ)P )− (XY−1 ) } = max { |p(A)| λµ − (XY−1 ) , |p(A)| σφ − (XY−1 )} = |p(A)| max{ λµ − (XY−1 ), σφ − ( XY−1 )} ≤ |p(A)| max{max{ λµ − (X), λµ − (Y)}, max{ σφ − (X), σφ − (Y)}} = |p(A)| max{max{ λµ − (X), σφ − (X)}, max{ λµ − (Y), σφ − (Y)}} = max{|p(A)|{max{ λµ − (X),σφ − (X)}, max{λµ − (Y),σφ − (Y)}}} = max{max{|p(A)| λµ − (X) , |p(A)| σφ − (X)},max{|p(A)| λµ − (Y) , |p(A)| σφ − (Y)}} = max {max{((Aλµ)P ) − (X), ((Aσφ)P )− (X)},max{((Aλµ)P ) − (Y), ((Aσφ)P )− (Y)}} = max {((Aλµ)P ∩ (Aσφ)P ) − (X) , ((Aλµ)P ∩ (Aσφ)P ) − (Y)}} Hence the intersection of any two pseudo bipolar fuzzy HX subgroups of a HX group ϑ is also a pseudo bipolar fuzzy HX subgroup of ϑ. 4.16 Theorem Intersection of any two pseudo bipolar anti-fuzzy HX subgroup on a HX subgroup ϑ is also a pseudo bipolar anti-fuzzy HX subgroup of ϑ. Proof:Let (Aλµ)P = (((Aλµ)P )+ , ((Aλµ)P )− ) and (Aσφ)P = (((Aσφ)P )+ , ((Aσφ)P )− ) be any two pseudo bipolar anti-fuzzy HX subgroups of a HX group ϑ.
  • 19. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014 19 Now, Intersection of any two pseudo bipolar anti-fuzzy HX subgroup on a HX subgroup ϑ is ((Aλµ)P ∩ (Aσφ)P ) = (((Aλµ)P ∩ (Aσφ)P ) + , ((Aλµ)P ∩ (Aσφ)P )− ) i. ((Aλµ)P ∩ (Aηφ)P ) + (XY−1 ) = min {((Aλµ)P )+ (XY−1 ) , ((Aσφ)P )+ (XY−1 ) } = min { |p(A)| λµ + (XY−1 ), |p(A)| σφ + (XY−1 )} = |p(A)| min{ λµ + (XY−1 ), σφ + ( XY−1 )} ≤ |p(A)| min{max{ λµ + (X), λµ + (Y)}, max{ σφ + (X), σφ + (Y)}} = |p(A)| max{min{ λµ + (X), σφ + (X)}, min{ λµ + (Y), σφ + (Y)}} = max{ |p(A)|{min{ λµ + (X), σφ + (X)}, min{ λµ + (Y), σφ + (Y)}}} = max{min{ |p(A)| λµ + (X) , |p(A)| σφ + (X)}, min{ |p(A)| λµ + (Y) , |p(A)| σφ + (Y)}} = max {min{((Aλµ)P )+ (X), ((Aσφ)P )+ (X)},min {((Aλµ)P )+ (Y), ((Aσφ)P )+ (Y)}} = max {((Aλµ)P ∩ (Aσφ)P ) + (X) , ((Aλµ)P ∩ (Aσφ)P ) + (Y)}} i. ((Aλµ)P ∩ (Aσφ)P ) − (XY−1 ) = max {((Aλµ)P )− (XY−1 ) , ((Aσφ)P )− (XY−1 ) } = max { |p(A)| λµ − (XY−1 ) , |p(A)| σφ − (XY−1 )} = |p(A)| max{ λµ − (XY−1 ), σφ − ( XY−1 )} ≥ |p(A)| max{min{ λµ − (X), λµ − (Y)}, min{ σφ − (X), σφ − (Y)}} = |p(A)| min{max{ λµ − (X), σφ − (X)}, max{ λµ − (Y), σφ − (Y)}} = min{ |p(A)|{ max{ λµ − (X), σφ − (X)}, max{ λµ − (Y), σφ − (Y)}}} = min{max{|p(A)| λµ − (X) , |p(A)| σφ − (X)},max{|p(A)| λµ − (Y), |p(A)| σφ − (Y)}} = min{max{((Aλµ)P )− (X), ((Aσφ)P )− (X)},max{((Aλµ)P )− (Y), ((Aσφ)P )− (Y)}} = min{((Aλµ)P ∩ (Aσφ)P ) − (X) , ((Aλµ)P ∩ (Aσφ)P ) − (Y)}} Hence the intersection of any two pseudo bipolar anti-fuzzy HX subgroups of a HX group ϑ is also a pseudo bipolar anti-fuzzy HX subgroup of ϑ. 4.17 Theorem Union of any two pseudo bipolar anti-fuzzy HX subgroup of a HX group ϑ is also a pseudo bipolar anti-fuzzy HX subgroup of ϑ. Proof: Let (Aλµ)P = (((Aλµ)P )+ , ((Aλµ)P )− ) and (Aσφ)P = (((Aσφ)P )+ , ((Aσφ)P )− ) be any two pseudo bipolar anti-fuzzy HX subgroups of a HX group ϑ. Now, Union of any two pseudo bipolar anti-fuzzy HX subgroup on a HX subgroup ϑ is ((Aλµ)P ∪ (Aσφ)P ) = (((Aλµ)P ∪ (Aσφ)P ) + , ((Aλµ)P ∪ (Aσφ)P )− ) i. ((Aλµ)P ∪ (Aσφ)P ) + (XY−1 ) = max {((Aλµ)P )+ (XY−1 ) , ((Aσφ)P )+ (XY−1 ) } = max { |p(A)| λµ + (XY−1 ), |p(A)| σφ + (XY−1 )} = |p(A)| max{ λµ + (XY−1 ), σφ + ( XY−1 )} ≤ |p(A)| max{max{ λµ + (X), λµ + (Y)}, max{ σφ + (X), σφ + (Y)}} = |p(A) |max{max{ λµ + (X), σφ + (X)}, max{ λµ + (Y), σφ + (Y)}} = max{|p(A)|{max{λµ + (X), σφ + (X)}, max{ λµ + (Y), σφ + (Y)}}} = max{max{ |p(A)| λµ + (X) , |p(A)| σφ + (X)} , max{ |p(A)| λµ + (Y) , |p(A)| σφ + (Y)}} = max{ max{((Aλµ)P )+ (X), ((Aσφ)P )+ (X)},max {((Aλµ)P )+ (Y), ((Aσφ)P )+ (Y)}} = max{((Aλµ)P ∪ (Aσφ)P ) + (X) , ((Aλµ)P ∪ (Aσφ)P ) + (Y)}}
  • 20. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014 20 ii. ((Aλµ)P ∩ (Aσφ)P ) − (XY−1 ) = min {((Aλµ)P )− (XY−1 ) , ((Aσφ)P )− (XY−1 ) } = min { |p(A)| λµ − (XY−1 ), | p(A)| σφ − (XY−1 )} = |p(A)| min{ λµ − (XY−1 ), σφ − ( XY−1 )} ≥ |p(A)| min{min{ λµ − (X), λµ − (Y)}, min{ σφ − (X), σφ − (Y)}} = |p(A)| min{min{ λµ − (X), σφ − (X)}, min{ λµ − (Y), σφ − (Y)}} = min{|p(A)|{ min{λµ − (X), σφ − (X)}, min{ λµ − (Y), σφ − (Y)}}} = min{min{|p(A)| λµ − (X) , |p(A)| σφ − (X)},min{|p(A)| λµ − (Y) , |p(A)| σφ − (Y)}} = min{min{((Aλµ)P )− (X), ((Aσφ)P )− (X)},min {((Aλµ)P )− (Y), ((Aσφ)P )− (Y)}} = min{((Aλµ)P ∪ (Aσφ)P ) − (X) , ((Aλµ)P ∪ (Aσφ)P ) − (Y)}} Hence the Union of any two pseudo bipolar anti-fuzzy HX subgroups of a HX group ϑ is also a pseudo bipolar anti-fuzzy HX subgroup of ϑ. 4.18 Theorem Union of any two pseudo bipolar fuzzy HX subgroup of a HX group ϑ is also a pseudo bipolar fuzzy HX subgroup of ϑ. Proof: Let (Aλµ)P = (((Aλµ)P )+ , ((Aλµ)P )− ) and (Aσφ)P = (((Aσφ)P )+ , ((Aσφ)P )− ) be any two pseudo bipolar fuzzy HX subgroups of a HX group ϑ. Now, Union of any two pseudo bipolar fuzzy HX subgroup on a HX subgroup ϑ is ((Aλµ)P ∪ (Aσφ)P ) = (((Aλµ)P ∪ (Aσφ)P ) + , ((Aλµ)P ∪ (Aσφ)P )− ) i. ((Aλµ)P ∪(Aσφ)P ) + (XY−1 ) = max {((Aλµ)P )+ (XY−1 ) , ((Aσφ)P )+ (XY−1 ) } = max { |p(A)| λµ + (XY−1 ), |p(A)| σφ + (XY−1 )} = |p(A)| max{ λµ + (XY−1 ), σφ + ( XY−1 )} ≥ |p(A)| max{min{ λµ + (X), λµ + (Y)}, min{ σφ + (X), σφ + (Y)}} = |p(A)| min{max{ λµ + (X), σφ + (X)}, max{ λµ + (Y), σφ + (Y)}} = min{ |p(A)|{max{ λµ + (X), σφ + (X)}, max{ λµ + (Y), σφ + (Y)}}} = min{max{ |p(A)| λµ + (X) , |p(A)| σφ + (X)}, max{ |p(A)| λµ + (Y) , |p(A)| σφ + (Y)}} = min{max{((Aλµ)P )+ (X), ((Aσφ)P )+ (X)},max {((Aλµ)P )+ (Y), ((Aσφ)P )+ (Y)}} = min{((Aλµ)P ∪ (Aσφ)P ) + (X) , ((Aλµ)P ∪ (Aσφ)P ) + (Y)}} ii. ((Aλµ)P ∩ (Aσφ)P ) − (XY−1 ) = min {((Aλµ)P )− (XY−1 ) , ((Aσφ)P )− (XY−1 ) } = min { |p(A)| λµ − (XY−1 ) , |p(A)| σφ − (XY−1 )} = |p(A)| min{ λµ − (XY−1 ), σφ − ( XY−1 )} ≤ |p(A)| min{max{λµ − (X), λµ − (Y)}, max{σφ − (X), σφ − (Y)}} = |p(A)| max{min{ λµ − (X), σφ − (X)}, min{ λµ − (Y), σφ − (Y)}} = max{ |p(A)|{min{λµ − (X), σφ − (X)}, min{λµ − (Y), σφ − (Y)}}} = max{min{|p(A)| λµ − (X) , |p(A)| σφ − (X)}, min{|p(A)| λµ − (Y) , |p(A)| σφ − (Y)}} = max{min{((Aλµ)P )− (X), ((Aσφ)P )− (X)},min {((Aλµ)P )− (Y), ((Aσφ)P )− (Y)}} = max{((Aλµ)P ∪ (Aσφ)P ) − (X) , ((Aλµ)P ∪ (Aσφ)P ) − (Y)}} Hence the Union of any two pseudo bipolar fuzzy HX subgroups of a HX group ϑ is also a pseudo bipolar fuzzy HX subgroup of ϑ.
  • 21. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014 21 CONCLUSIONS We have given the notion of the pseudo bipolar fuzzy cosets and pseudo bipolar fuzzy cosets of bipolar fuzzy HX subgroup and bipolar anti-fuzzy HX subgroup of a HX group. The union and intersection of pseudo bipolar fuzzy HX subgroups and pseudo bipolar anti-fuzzy HX subgroups of a HX group are discussed. We hope that our results can also be extended to other algebraic system. ACKNOWLEDGEMENTS The authors are highly grateful to the referees for their constructive suggestions for improving the paper. REFERENCES [1] Biswas, R, (1990) “Fuzzy subgroups and anti fuzzy subgroups”, Fuzzy Sets and Systems ,35, pp 121-124. [2] Lee,K.M, (2000) “Bipolar –Valued fuzzy sets and their operations”, Proc.Int conf.on Intelligent Technologies, Bangkok, Thailand , pp 307-312. [3] Li Hongxing , (1987) “HX group”, BUSEFAL, 33, pp 31-37. [4] Li Xiaoping, (2000) “The Intuitionistic fuzzy normal subgroup and its some equivalent proposition”, BUSEFAL, 82, pp 40-44. [5] Luo Chengzhong, Mi Honghai & Li Hongxing,(1989) “Fuzzy HX group”, BUSEFAL, 41(14), pp 97 – 106. [6] Marudai,M & Rajendran,V, (2011) “ New Constructions on Bipolar Anti Q-fuzzy Groups and Bipolar Anti Q-fuzzy d-ideals under (t,s) norms”, Advances in Fuzzy Mathematics , Vol. 6, No.1, pp 145 – 153. [7] Mehmet sait Eroglu,(1989), “The homomorphic image of a fuzzy subgroup is always a fuzzy subgroup” , Fuzzy Sets and System , 33, pp 255-256. [8] Muthuraj,R, Muthuraman,M.S.& Sridharan.M,(2011) “ Bipolar fuzzy Sub-Bi HX group and its Bi Level Sub-Bi HX groups”, Antarctica J.Math, 8(5), pp 427 - 434. [9] Muthuraj,R & Sridharan.M , (2012) “ Bipolar Anti fuzzy HX group and its Lower Level Sub HX groups”, Journal of Physical Sciences, Vol.16, pp 157- 169. [10] Muthuraj.R & Sridharan.M (2014) “Some Properties of Bipolar fuzzy cosets of a Bipolar fuzzy and Bipolar Anti fuzzy HX Subgroups”, IOSR Journal of Mathematics (IOSR-JM), Volume 6,pp 128- 137. [11] Muthuraj,R & Sridharan.M, (2014) “Bipolar fuzzy HX group and its Level Sub HX groups”, International Journal of Mathematical Archive, 5- (1), pp 230-239. [12] Muthuraj,R & Sridharan.M,(2014) “Operations on bipolar fuzzy HX subgroups” , International Journal of Engineering Associates, Vol. 3, Issue 5, pp 12-18. [13] Muthuraj.R & Sridharan.M, “Operations on bipolar anti fuzzy HX subgroups”, Journal of Uncertain Systems , (Communicated). [14] palaniappan,N & Muthuraj.R, (2004) “Anti fuzzy group and lower level subgroups”, Antarctica J.Math .,1(1), pp 71-76. [15] Rosenfeld.A, (1971) “ Fuzzy Groups ”,J.Math.Anal.Appl, 35, pp 512-517. [16] Zadeh ,L.A, (1965) “Fuzzy Sets”, Information and Control , 8, pp 338-365. [17] Zhang ,W.R (1998) “Bipolar fuzzy sets”, Proc. of Fuzzy – IEEE, pp 835-840. Authors Dr.R.Muthuraj received his Ph.D degree in Mathematics from Alagappa University Karaikudi, Tamilnadu,India in April 2010.Presently he is an Assistant Professor , PG
  • 22. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 1, No. 3, December 2014 22 & Research Department of Mathematics, H.H.The Rajah’s College, Pudukkottai – 622 001, Tamilnadu ,India. He has published over 80 papers in refereed national and International Journals.He is the reviewer and Editor of the reputed International Journals. Eight members are doing research work under his guidance. His research interests are Fuzzy Algebra, Lattice Theory, Discrete Mathematics, Fuzzy Topology and Fuzzy Graph Theory. M.Sridharan received his M.Phil degree from School of Mathematics, Madurai Kamaraj University,Madurai, Tamilnadu,India. Now he is doing Ph.D from Bharathidasan University Tiruchirappalli,Tamilnadu,India. Presently he is working as an Associate Professor of Mathematics , PSNA College of Engineering and Technology, Dindigul,Tamilnadu, India. He has published over 18 papers in reputed national and International journals. His research area is Fuzzy Algebra.