SlideShare a Scribd company logo
1 of 13
Download to read offline
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015
DOI : 10.5121/mathsj.2015.2301 1
COMMON FIXED POINT THEOREMS IN
COMPATIBLE MAPPINGS OF TYPE (P*) OF
GENERALIZED INTUITIONISTIC FUZZY
METRIC SPACES
R.Muthuraj1
& R.Pandiselvi2
1
PG and Research Department of Mathematics, H.H.The Rajah’s College,
Pudukkottai – 622 001, India.
2
Department of Mathematics, The Madura college, Madurai – 625 011, India.
ABSTRACT
In this paper, we give some new definition of Compatible mappings of type (P), type (P-1) and type (P-2) in
intuitionistic generalized fuzzy metric spaces and prove Common fixed point theorems for six mappings
under the conditions of compatible mappings of type (P-1) and type (P-2) in complete intuitionistic fuzzy
metric spaces. Our results intuitionistically fuzzify the result of Muthuraj and Pandiselvi [15]
Mathematics subject classifications: 45H10, 54H25
KEYWORDS
Intuitionistic fuzzy metric spaces, compatible mappings of type ( P ), type (P-1) and type (P-2) , common
fixed point .
1.INTRODUCTION
The Concept of fuzzy set was introduced by Zadeh [23] in 1965 .Following the concept of fuzzy
sets, Deng [6] Kaleva and Seikalla [12] and kramosil and Michalek [13] introduced the concept of
fuzzy metric space, George and Veeramani [7] modified the concept of fuzzy metric space
introduced by kramosil and Michalek [13] .
Further, Sedghi and Shobe [19] defined ℳ-fuzzy metric space and proved a common fixed point
theorem in it. Jong Seo Park [15] introduced the concept of semi compatible and Weak
Compatible maps in fuzzy metric space and proved some fixed point theorems satisfying certain
conditions in ℳ-fuzzy metric spaces.
As a generalization of fuzzy sets, Atanassov [1] introduced and studied the concept of
intuitionistic fuzzy sets. Using the idea of intuitionistic fuzzy sets Park [16] defined the notion of
intuitionistic fuzzy metric space with the help of continuous t- norm and continuous t- conorm as
a generalization of fuzzy metric space, George and Veeramani [8] had showed that every metric
induces an intuitionistic fuzzy metric and found a necessary and sufficient conditions for an
intuitionistic fuzzy metric space to be complete. Choudhary [4] introduced mutually contractive
sequence of self maps and proved a fixed point theorem. Kramaosil and Michalek [13] introduced
the notion of Cauchy sequences in an intuitionistic fuzzy metric space and proved the well known
fixed point theorem of Banach[2]. Turkoglu et al [22] gave the generalization of Jungck’s[11]
Common fixed point theorem to intuitionistic fuzzy metric spaces.
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015
2
In this paper, we extend the result of common fixed point theorem for compatible mappings of
type (P-1) and type (P-2) in intuitionistic fuzzy metric space and prove common fixed point
theorem of type (P-1) and type (P-2) in intuitionistic fuzzy metric spaces, we also give an
example to validate our main theorem. Our results intuitionistically fuzzify the result of Muthuraj
and Pandiselvi [15].
2. PRELIMINARIES
We start with the following definitions.
Definition 2.1
A binary operation ∗ : [0,1] × [0,1] → [0,1] is said to be a continuous t-norm if * is satisfies the
following conditions.
(i) ∗ is commutative and associative,
(ii) ∗ is continuous,
(iii) a∗1 = a for all a∈ [0,1],
(iv) a∗b ≤ c∗d whenever a ≤ c and b ≤ d for all a,b,c,d ∈ [0,1].
Definition 2.2
A binary operation ◊ : [0,1] × [0,1] → [0,1] is said to be a continuous t-conorm if ◊ satisfies the
following conditions :
(i) ◊ is commutative and associative,
(ii) ◊ is continuous,
(iii) a ◊ 0 = a for all a ∈ [0,1],
(iv) a ◊ b ≤ c ◊ d whenever a ≤ c and b ≤ d for all a,b,c,d ∈ [0,1].
Definition 2.3
A 5-tuple (X, ℳ, ࣨ, ∗, ◊) is called an intuitionistic fuzzy metric space if X is an arbitrary set, ∗
is a continuous t-norm, ◊ a continuous t-conorm and ℳ, ࣨ are fuzzy sets on X3
× (0, ∞),
satisfying the following conditions, for each x, y, z, a∈X and
t, s > 0,
a) ℳ( x, y, z, t ) + ࣨ( x, y, z, t ) ≤ 1.
b) ℳ( x, y, z, t ) > 0.
c) ℳ( x, y, z, t ) = 1 if and only if x = y = z.
d) ℳ( x, y, z, t ) = ℳ ( p{ x, y, z}, t) where p is a permutation function,
e) ℳ( x, y, a, t ) ∗ ℳ( a, z, z, s ) ≤ ℳ( x, y, z, t + s )
f) ℳ( x, y, z ) : ( 0, ∞) → [0, 1] is continuous
g) ࣨ( x, y, z, t ) > 0
h) ࣨ( x, y, z, t ) = 0, if and only if x = y = z,
i) ࣨ( x, y, z, t = ࣨ( p{ x, y, z}, t) where p is a permutation function,
j) ࣨ( x, y, a, t ) ◊ ࣨ( a, z, z, s ) ≥ ࣨ( x, y, z, t + s ),
k) ࣨ( x, y, z, ⋅) : ( 0, ∞) → [0, 1] is continuous.
Then (ℳ, ࣨ) is called an intuitionistic fuzzy metric on X.
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015
3
Example 2.4
Let X = R, and ℳ(x, y, z, t ) =
୲
୲ା|୶ି୷|ା|୷ି୸|ା|୸ି୶|
, ࣨ( x, y, z, t ) =
|୶ି୷|ା|୷ି୸|ା|୸ି୶|
୲ା|୶ି୷|ା|୷ି୸|ା|୸ି୶|
for every x,
y, z and t > 0, let A and B defined as Ax = 2x + 1, Bx = x + 2, consider the sequence xn =
ଵ
୬
+1, n
= 1 , 2,… Thus we have
lim
୬→∞
ℳ(Axn, 3, 3, t) = lim
୬→∞
ℳ(Bxn, 3, 3, t) =1 and
lim
୬→∞
ࣨ( Axn, 3, 3, t) = lim
୬→∞
ࣨ( Bxn, 3, 3, t) = 0, for every t > 0.
Then A and B satisfying the property (E).
Definition 2.5
Let (X, ℳ, ࣨ, ∗,◊ ) be an intuitionistic fuzzy metric space and {xn} be a sequence in X.
a) {xn} is said to be converges to a point x∈X, if lim
୬→∞
ℳ( x, x, xn, t ) = 1 and
lim
୬→∞
ࣨ( x, x, xn, t ) = 0, for all t > 0.
b) {xn} is called Cauchy sequence if lim
୬→∞
ℳ(xn+p, xn+p, xn, t) = 1 and
lim
୬→∞
ࣨ(xn+p, xn+p, xn, t) = 0 for all t > 0 and p > 0.
c) An intuitionistic fuzzy metric space in which every Cauchy sequence is convergent is
said to be complete.
Lemma 2.6
Let (X, ℳ, ࣨ, ∗, ◊) be an intuitionistic fuzzy metric space. Then ℳ(x, y, z, t) and ࣨ(x, y, z, t)
are non-decreasing with respect to t, for all x, y, z in X.
Proof
By definition 2.3, for each x, y, z, a ∈X and t, s > 0
we have ℳ(x, y, a, t ) ∗ ℳ(a, z, z, s ) ≤ ℳ(x, y, z, t + s ). If we set a = z,
we get ℳ(z, y, z, t ) ∗ ℳ(z, z, z, s ) ≤ ℳ(x, y, z, t + s ), that is
ℳ(x, y, z, t + s ) ≥ ℳ(x, y, z, t ).
Similarly, ࣨ(x, y, a, t) ◊ ࣨ(a, z, z, s ) ≥ ࣨ(x, y, z, t + s ), for each x, y, z, a∈X and
t, s > 0, by definition of (X, ࣨ, ◊ ). If we set a = z, we get
ࣨ(x, y, z, t ) ◊ ࣨ(z, z, z, s ) ≥ ࣨ(x, y, z, t + s )
that is ࣨ(x, y, z, t + s ) ≤ ࣨ(x, y, z, t) .Hence in IFMS (X, ℳ, ࣨ, ∗, ◊ ),
ℳ(x, y, z, t ) and ࣨ(x, y, z, t ) are non-decreasing with respect to t, for all x, y, z in X.
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015
4
3.COMPATIBLE MAPPINGS OF TYPE
Definition 3.1
Let A and S be self mappings from an intuitionistic fuzzy metric space (X, ℳ, ࣨ, ∗,◊) into itself.
Then the mappings are said to be compatible if
lim
୬→∞
ℳ(ASxn, SAxn, SAxn, t) = 1 and
lim
୬→∞
ࣨ(ASxn, SAxn, SAxn, t) = 0, for all t > 0 whenever {xn} is a sequence in X such that lim
୬→∞
Axn
= lim
୬→∞
Sxn = z for some z∈X.
Definition 3.2
Let A and S be self mappings from an intuitionistic fuzzy metric space (X, ℳ, ࣨ, ∗, ◊ ) into
itself. Then the mappings are said to be compatible of type (P), if
lim
୬→∞
ℳ(AAxn, SSxn, SSxn, t ) = 1 and lim
୬→∞
ࣨ(AAxn, SSxn, SSxn, t ) = 0 for all t > 0, whenever
{xn} is a sequence in X such that lim
୬→∞
Axn = lim
୬→∞
Sxn = z for some z∈X.
Definition 3.3
Let A and S be self mappings from an intuitionistic fuzzy metric space (X, ℳ, ࣨ, ∗, ◊) into itself.
Then the mappings are said to be R-Weakly commuting of type (P), if there exists some R > 0,
such that ℳ(AAx, SSx, SSx, t) ≥ ℳ( Ax, Sx, Sx,
୲
ୖ
),
ࣨ(AAx, SSx, SSx, t) ≤ ࣨ(Ax, Sx, Sx,
୲
ୖ
), for all x in X and t > 0.
Definition 3.4
Let A and S be self mappings from an intuitionistic fuzzy metric space (X, ℳ, ࣨ, ∗, ◊) into
itself. Then the mappings are said to be compatible of type (P-1) if
lim
୬→∞
ℳ(SAxn, AAxn, AAxn, t ) = 1 and lim
୬→∞
ࣨ( SAxn, AAxn, AAxn, t ) = 0 for all t > 0, whenever
{xn} is a sequence in X such that lim
୬→∞
Axn = lim
୬→∞
S xn = z for some z∈X.
Definition 3.5
Let A and S be self mappings from an intuitionistic fuzzy metric space (X, ℳ, ࣨ, ∗,◊ ) into itself.
Then the mappings are said to be compatible of type (P-2) if
lim
୬→∞
ℳ (AAxn, SSxn, SSxn, t) = 1 and lim
୬→∞
ࣨ(AAxn, SSxn, SSxn, t) = 0 for all t > 0 whenever {xn}
is a sequence in X such that lim
୬→∞
Axn = lim
୬→∞
Sxn = z for some z∈X.
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015
5
Proposition 3.6
Let A and S be self mappings from an intuitionistic fuzzy metric space (X, ℳ, ࣨ, ∗, ◊ ) into
itself.
a) If A is continuous map then the pair of mappings (A, S) is compatible of type (P-1) if and
only if A and S are compatible.
b) If S is a continuous map then the pair of mappings (A, S) is compatible of
type (P-2) if and only if A and S are compatible.
Proof
a) Let lim
୬→∞
Axn = lim
୬→∞
Sxn = z for some z ∈ X, and let the pair (A, S) be compatible of type
(P-1). Since A is continuous, we have lim
୬→∞
ASxn = Az and lim
୬→∞
AAxn = Az. Therefore it
follows that
ℳሺ SAx୬, ASx୬, ASx୬, t ሻ ≥ ℳ ቀ SAx୬, AAx୬, AAx୬,
୲
ଶ
ቁ
∗ ℳሺ AAx୬, ASx୬, ASx୬,
୲
ଶ
ሻ and
ࣨሺ SAx୬, ASx୬, ASx୬, t ሻ ≤ ࣨ ቀ SAx୬, AAx୬, AAx୬,
୲
ଶ
ቁ
◊ ࣨሺ AAx୬, ASx୬, ASx୬,
୲
ଶ
ሻ
yields lim
୬→∞
ℳ ( SAxn, ASxn, ASxn, t ) ≥ 1 ∗ 1 = 1 and
lim
୬→∞
ࣨ( SAxn, ASxn, ASxn, t ) ≤ 0 ◊ 0 = 0 and so the mappings A and S are compatible.
Now, let A and S be compatible. Therefore it follows that
ℳሺSAx୬, AAx୬, AAx୬, t ሻ ≥ ℳ ൬SAx୬, ASx୬, ASx୬,
t
2
൰
∗ ℳሺASx୬, AAx୬, AAx୬,
t
2
ሻ
ࣨሺSAx୬, AAx୬, AAx୬, t ሻ ≤ ࣨ ൬SAx୬, ASx୬, ASx୬,
t
2
൰
◊ ࣨሺASx୬, AAx୬, AAx୬,
t
2
ሻ
yields lim
୬→∞
ℳ(SAxn, AAxn, AAxn, t ) ≥ 1 ∗ 1 = 1 and
lim
୬→∞
ࣨ( SAxn, AAxn, AAxn, t ) ≤ 0 ◊ 0 = 0 and
so that pair of mappings (A,S) are compatible of type (P-1).
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015
6
b) Let lim
୬→∞
Sxn = lim
୬→∞
Axn = z for some z in X and let the pair (A, S) be compatible of type
(P-2). Since S is continuous, we have lim
୬→∞
SAxn = Sz and
lim
୬→∞
SSxn = Sz. Therefore it follows that
ℳሺSAx୬, ASx୬, ASx୬, tሻ ≥ ℳ ൬SAx୬, SSx୬, SSx୬,
t
2
൰
∗ ℳ ቀSSx୬, ASx୬, ASx୬,
୲
ଶ
ቁ and
ࣨሺSAx୬, ASx୬, ASx୬, tሻ ≤ ࣨ ൬SAx୬, SSx୬, SSx୬,
t
2
൰
◊ ࣨ ൬SSx୬, ASx୬, ASx୬,
t
2
൰
yields lim
୬→∞
ℳ( SAxn, ASxn, ASxn, t ) ≥ 1 ∗ 1 = 1 and
lim
୬→∞
ࣨ( SAxn, ASxn, ASxn, t ) ≤ 0 ◊ 0 = 0 and so the mappings A and S are compatible.
Now let A and S be compatible. Then we have
ℳሺASx୬, SSx୬, SSx୬, tሻ ≥ ℳ ൬ASx୬, SAx୬, SAx୬,
t
2
൰
∗ ℳ ቀSAx୬, SSx୬, SSx୬,
୲
ଶ
ቁ and
ࣨሺASx୬, SSx୬, SSx୬, tሻ ≤ ࣨ ൬ASx୬, SAx୬, SAx୬,
t
2
൰
◊ ࣨ ൬SAx୬, SSx୬, SSx୬,
t
2
൰
yields lim
୬→∞
ℳ(ASxn, SSxn, SSxn, t ) ≥ 1 ∗ 1 = 1 and
lim
୬→∞
ࣨ(ASxn, SSxn, SSxn, t) ≤ 0 ◊ 0 = 0 and so the pair of mappings (A, S) are
compatible of type (P-2).
Proposition 3.7
Let A and S be self mappings from an intuitionistic fuzzy metric space (X, ℳ, ࣨ, ∗, ◊) into itself.
If the pair (A, S) is compatible of type (P-2) and Sz = Az for some z∈X. Then ASz = SSz.
Proof:
Let { xn} be a sequence in X defined by xn = z for n=1,2,… and let Az = Sz.
Then we have lim
୬→∞
Sxn = Sz and lim
୬→∞
Axn = Az. Since the pair (A, S) is compatible of type (P-2),
we have
ℳ( ASz, SSz, SSz, t ) = lim
୬→∞
ℳሺASxn, SSxn, SSxn, t ) = 1 and
ࣨ( ASz, SSz, SSz, t ) = lim
୬→∞
ࣨ(ASxn, SSxn, SSxn, t ) = 0.
Hence ASz = SSz.
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015
7
Proposition 3.8
Let A and S self mappings from an intuitionistic fuzzy metric space (X, ℳ, ࣨ, ∗, ◊) with t ∗ t ≥
t and (1- t) ◊ (1- t) ≤ 1- t for all t ∈ [0, 1] if the pair (A, S) are compatible of type (p -1) and Axn,
Sxn → z for some z in X and a sequence {xn} in X.
Then AAxn → Sz, if S is continuous at z.
Proof
Since S is continuous at z, we have SAxn → Sz. Since the pair (A, S) are compatible of type (P-1),
we have ℳ(SAxn, AAxn, AAxn, t) → 1 as n → ∞. It follows that
ℳ( Sz, AAxn, AAxn, t) ≥ ℳ( Sz, SAxn, SAxn,
୲
ଶ
) ∗ ℳ( SAxn, AAxn, AAxn,
୲
ଶ
) and
ࣨ (Sz, AAxn, AAxn, t ) ≤ ࣨ (Sz, SAxn, SAxn,
୲
ଶ
) ∗ ࣨ( SAxn, AAxn, AAxn,
୲
ଶ
) yield
ℳ (Sz, AAxn, AAxn, t) ≥ 1 ∗1 = 1 and
ࣨ(Sz, AAxn, AAxn, t) ≤ 0 ◊ 0 = 0 and so
we have AAxn → Sz as n → ∞.
Proposition 3.9
Let A and S be self mappings from an intuitionistic fuzzy metric space (X, ℳ, ࣨ, ∗, ◊) with t ∗t ≥
t and (1- t) ◊ (1- t) ≤ 1- t for t ∈ [0, 1]. If the pair (A, S) are compatible of type (P - 2) and Axn,
Sxn→z for some z in X and sequence {xn} in X. Then SSxn → Az if A is continuous at z.
Proof
Since A is continuous at z, we have ASxn → Az. Since the pair (A, S) are compatible of type (P -
2), we have ℳ( ASxn, SSxn, SSxn, t ) →1 as n→∞, it follows that
ℳ(Az, SSxn, SSxn, t ) ≥ ℳ(Az, ASxn, ASxn,
୲
ଶ
) ∗ ℳ( ASxn, SSxn, SSxn,
୲
ଶ
) and
ࣨ(Az, SSxn, SSxn, t ) ≤ ࣨ(Az, ASxn, ASxn,
୲
ଶ
) ◊ ࣨ(ASxn, SSxn, SSxn,
୲
ଶ
) yield
lim
୬→∞
ℳ(Az, SSxn, SSxn, t ) ≥ 1 ∗ 1 = 1 and
lim
୬→∞
ࣨ( Az, SSxn, SSxn, t ) ≤ 0 ◊ 0 = 0 and so
we have SSxn → Az as n → ∞.
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015
8
4. MAIN RESULTS
Theorem 4.1
Let (X, ℳ, ࣨ, ∗,◊) be a complete generalized intuitionistic fuzzy metric space and let A, B, P,Q,
S and T be self mappings of X satisfying the following conditions.
(i) P(X) ⊆ ST (X), Q(X) ⊆ AB(X)
(ii) The pair (P, AB) and (Q, ST) are compatible mappings of type (P)
(iii) ST is continuous
(iv) ℳ( Px, Qz, Qz, qt) ≥ min {ℳ(ABx, Py, Qy, t), ℳ(ABx, Py, STz, t),
ℳ(Qy, STz, Py, t), ℳ(ABx, Qy, STz, t)} and
ࣨ( Px, Qz, Qz, qt) ≤ max{ ࣨ(ABx, Py,Qy, t), ࣨ(ABx, Py, STz, t),
ࣨ(Qy, STz, Py, t), ࣨ(ABx, Qy, STz, t)}
then the mappings P, Q, AB and ST have a unique common fixed point in X.
Proof
Let x0 be any arbitrary point in X. Thus we construct a sequence {yn} in X such that
y2n-1 = STx2n-1 = Px2n-2 and y2n = ABx2n = Qx2n-1. Put x = x2n-1, y = x2n-1, z = x2n.
ℳሺ Pxଶ୬ିଵ, Qxଶ୬, Qxଶ୬, qt ሻ ≥ min
‫ە‬
‫۔‬
‫ۓ‬
ℳሺ ABxଶ୬ିଵ, Pxଶ୬ିଵ, Qxଶ୬ିଵ, t ሻ,
ℳሺABxଶ୬ିଵ, Pxଶ୬ିଵ, STxଶ୬, t ሻ,
ℳሺ Qxଶ୬ିଵ, STxଶ୬, Pxଶ୬ିଵ, t ሻ,
ℳሺ ABxଶ୬ିଵ, Qxଶ୬ିଵ, STxଶ୬, t ሻ ۙ
ۘ
ۗ
ℳሺ yଶ୬, yଶ୬ାଵ, yଶ୬ାଵ, qt ሻ ≥ min
‫ە‬
‫۔‬
‫ۓ‬
ℳሺ yଶ୬ିଵ, yଶ୬, yଶ୬, t ሻ,
ℳሺ yଶ୬ିଵ, yଶ୬, yଶ୬, t ሻ,
ℳሺ yଶ୬, yଶ୬, yଶ୬, t ሻ,
ℳሺyଶ୬ିଵ, yଶ୬, yଶ୬, t ሻ ۙ
ۘ
ۗ
ℳሺ yଶ୬, yଶ୬ାଵ, yଶ୬ାଵ, qtሻ ≥ ℳሺyଶ୬ିଵ, yଶ୬, yଶ୬, tሻ
This implies that ℳሺ yଶ୬, yଶ୬ାଵ, yଶ୬ାଵ, tሻis an increasing sequence of positive real numbers.
ࣨሺ Pxଶ୬ିଵ, Qxଶ୬, Qxଶ୬, qt ሻ ≤ max
‫ە‬
‫۔‬
‫ۓ‬
ࣨሺ ABxଶ୬ିଵ, Pxଶ୬ିଵ, Qxଶ୬ିଵ, t ሻ,
ࣨሺABxଶ୬ିଵ, Pxଶ୬ିଵ, STxଶ୬, t ሻ,
ࣨሺ Qxଶ୬ିଵ, STxଶ୬, Pxଶ୬ିଵ, t ሻ,
ࣨሺ ABxଶ୬ିଵ, Qxଶ୬ିଵ, STxଶ୬, t ሻ ۙ
ۘ
ۗ
ࣨሺ yଶ୬, yଶ୬ାଵ, yଶ୬ାଵ, qt ሻ ≤ max
‫ە‬
‫۔‬
‫ۓ‬
ࣨሺ yଶ୬ିଵ, yଶ୬, yଶ୬, t ሻ,
ࣨሺ yଶ୬ିଵ, yଶ୬, yଶ୬, t ሻ,
ࣨሺ yଶ୬, yଶ୬, yଶ୬, t ሻ,
ࣨሺyଶ୬ିଵ, yଶ୬, yଶ୬, t ሻ ۙ
ۘ
ۗ
ࣨሺ yଶ୬, yଶ୬ାଵ, yଶ୬ାଵ, qtሻ ≤ ࣨሺyଶ୬ିଵ, yଶ୬, yଶ୬, tሻ
This implies that ࣨሺ yଶ୬, yଶ୬ାଵ, yଶ୬ାଵ, tሻ is an decreasing sequence of positive real numbers.
Now to prove that ℳሺ y୬, y୬ାଵ, y୬ାଵ, tሻ converges to 1 as n → ∞ and
ࣨሺ yଶ୬, yଶ୬ାଵ, yଶ୬ାଵ, tሻ converges to 0 as n → ∞. By lemma 2.6,
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015
9
ℳሺ y୬, y୬ାଵ, y୬ାଵ, t ሻ ≥ ℳ ൬ y୬ିଵ, y୬, y୬,
t
q
൰ ≥ ℳ ൬ y୬ିଶ, y୬ିଵ, y୬ିଵ,
t
qଶ ൰
. . . ≥ ℳሺ y଴, yଵ, yଵ,
t
q୬
ሻ
Thus ℳሺ y୬, y୬ାଵ, y୬ାଵ, t ሻ ≥ ℳ ቀ y଴, yଵ, yଵ,
୲
୯౤ ቁ and
ࣨሺ y୬, y୬ାଵ, y୬ାଵ, t ሻ ≤ ࣨ ൬ y୬ିଵ, y୬, y୬,
t
q
൰ ≤ ࣨ ൬ y୬ିଶ, y୬ିଵ, y୬ିଵ,
t
qଶ ൰
. . . ≤ ࣨሺ y଴, yଵ, yଵ,
t
q୬ ሻ
Then by the definition of IFMS,
ℳ( yn, yn+p, yn+p, t ) ≥ ℳ( yn, yn+1, yn+1,
୲
୮
) ∗… p times …∗ ℳ( yn+p-1, yn+p, yn+p,
୲
୮
)
≥ ℳ( y0, y1, y1,
୲
୯౤ ) ∗… p times …∗ ℳ( y0, y1, y1,
୲
୮୯౤శ౦షభ )
Thus by the definition of IFMS,
ࣨ(yn, yn+p, yn+p, t) ≤ ࣨ( yn, yn+1, yn+1,
୲
୮
) ∗… p times …∗ ࣨ( yn+p-1, yn+p-1, yn+p,
୲
୮
)
≤ ࣨ( y0, y1, y1,
୲
୯౤ ) ∗ … p times … ∗ ࣨ( y0, y1, y1,
୲
୮୯౤శ౦షభ ).
lim
୬→∞
ℳ( yn, yn+p, yn+p, t ) ≥ 1 ∗ 1∗… p times …∗ 1. lim
୬→∞
ℳ( yn, yn+p, yn+p, t ) = 1 and
lim
୬→∞
ࣨ( yn, yn+p, yn+p, t ) ≤ 0 ∗ 0∗…∗ p times …∗ 0. lim
୬→∞
ࣨ(yn, yn+p, yn+p, t ) = 0.
Thus {yn} is a Cauchy sequence in intuitionistic fuzzy metric space X.
Since X is complete, there exists a point u∈X such that yn → u.
Thus {ABx2n}, {Qx2n-1}, {STx2n-1}, {Px2n-2} are Cauchy sequence converge to u.
Put x = ABx2n, y = u, z = STx2n-1 in (iv), we get
ℳሺ PABxଶ୬, QSTxଶ୬ିଵ, QSTxଶ୬ିଵ, qt ሻ ≥ min
‫ە‬
‫۔‬
‫ۓ‬
ℳሺABABxଶ୬, Pu, Qu, tሻ,
ℳሺABABxଶ୬, Pu, STSTxଶ୬ିଵ, t ሻ,
ℳሺQu, STSTxଶ୬ିଵ, Pu, tሻ,
ℳሺABABxଶ୬, Qu, STSTxଶ୬ିଵ, t ሻ,ۙ
ۘ
ۗ
and
ࣨሺ PABxଶ୬, QSTxଶ୬ିଵ, QSTxଶ୬ିଵ, qt ሻ ≤ max
‫ە‬
‫۔‬
‫ۓ‬
ࣨሺABABxଶ୬, Pu, Qu, tሻ,
ࣨሺABABxଶ୬, Pu, STSTxଶ୬ିଵ, t ሻ,
ࣨሺQu, STSTxଶ୬ିଵ, Pu, tሻ,
ࣨሺABABxଶ୬, Qu, STSTxଶ୬ିଵ, t ሻ,ۙ
ۘ
ۗ
.
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015
10
Now take the limit as n → ∞ and using (ii), we get,
ℳሺPu, Qu, Qu, qtሻ ≥ min ൜
ℳሺ Pu, Pu, Qu, tሻ, ℳሺ Pu, Pu, Qu, tሻ
ℳሺ Qu, Qu, Pu, tሻ, ℳሺ Pu, Qu, Qu, tሻ
ൠ and
ࣨሺPu, Qu, Qu, qtሻ ≤ max ൜
ࣨሺ Pu, Pu, Qu, tሻ, ࣨሺ Pu, Pu, Qu, tሻ
ࣨሺ Qu, Qu, Pu, tሻ, ࣨሺ Pu, Qu, Qu, tሻ
ൠ.
Then by lemma 2.6, we get
ℳሺPu, Qu, Qu, qtሻ ≥ ℳ ሺPu, Qu, Qu, tሻ and
ࣨሺPu, Qu, Qu, qtሻ ≤ ࣨ ሺPu, Qu, Qu, tሻ.
Therefore Pu = Qu. Now put x = ABx2n, y = x2n-1, z = x2n-1, in (iv), we get
ℳሺ PABxଶ୬, Qxଶ୬ିଵ, Qxଶ୬ିଵ, qt ሻ≥ min
‫ە‬
‫۔‬
‫ۓ‬
ℳሺ ABABxଶ୬, Pxଶ୬ିଵ, Qxଶ୬ିଵ, tሻ,
ℳሺABABxଶ୬, Pxଶ୬ିଵ, STxଶ୬ିଵ, t ሻ,
ℳሺ Qxଶ୬ିଵ, STxଶ୬ିଵ, Pxଶ୬ିଵ, t ሻ,
ℳሺABABxଶ୬, Qxଶ୬ିଵ, STxଶ୬ିଵ, t ሻۙ
ۘ
ۗ
and
ࣨሺ PABxଶ୬, Qxଶ୬ିଵ, Qxଶ୬ିଵ, qt ሻ ≤ max
‫ە‬
‫۔‬
‫ۓ‬
ࣨሺ ABABxଶ୬, Pxଶ୬ିଵ, Qxଶ୬ିଵ, tሻ,
ࣨሺABABxଶ୬, Pxଶ୬ିଵ, STxଶ୬ିଵ, t ሻ,
ࣨሺ Qxଶ୬ିଵ, STxଶ୬ିଵ, Pxଶ୬ିଵ, t ሻ,
ࣨሺABABxଶ୬, Qxଶ୬ିଵ, STxଶ୬ିଵ, t ሻۙ
ۘ
ۗ
Thus we have ℳሺ Pu, u, u, qtሻ ≥ ℳሺ Pu, u, u, tሻ and
ࣨሺ Pu, u, u, qtሻ ≥ ࣨሺ Pu, u, u, tሻ.
Therefore Pu = u. This implies Pu = Qu = u.
Now put x = Px2n-2, y = Px2n-2, z = u in (iv), we get
ℳሺPPxଶ୬ିଶ, Qu, Qu, qtሻ ≥ min
‫ە‬
‫۔‬
‫ۓ‬
ℳሺ ABPxଶ୬ିଶ, PPxଶ୬ିଶ, QPxଶ୬ିଶ, t ሻ,
ℳሺABPxଶ୬ିଶ, PPxଶ୬ିଶ, STu, t ሻ,
ℳሺ QPxଶ୬ିଶ, STu, PPxଶ୬ିଶ, t ሻ,
ℳሺABPxଶ୬ିଶ, QPxଶ୬ିଶ, STu, t ሻ ۙ
ۘ
ۗ
and
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015
11
ࣨሺPPxଶ୬ିଶ, Qu, Qu, qtሻ ≤ max
‫ە‬
‫۔‬
‫ۓ‬
ℳሺ ABPxଶ୬ିଶ, PPxଶ୬ିଶ, QPxଶ୬ିଶ, t ሻ,
ℳሺABPxଶ୬ିଶ, PPxଶ୬ିଶ, STu, t ሻ,
ℳሺ QPxଶ୬ିଶ, STu, PPxଶ୬ିଶ, t ሻ,
ℳሺABPxଶ୬ିଶ, QPxଶ୬ିଶ, STu, t ሻ ۙ
ۘ
ۗ
.
Now taking the limit as n → ∞ and on using (ii) and (iii), we get
ℳሺABu, u, u, qtሻ ≥ min ൜
ℳሺABu, ABu, u, t ሻ, ℳሺABu, ABu, u, t ሻ,
ℳሺ Qu, u, ABu, t ሻ, ℳሺABu, Qu, u, t ሻ
ൠ
ࣨሺABu, u, u, qtሻ ≤ max ൜
ࣨሺABu, ABu, u, t ሻ, ࣨሺABu, ABu, u, t ሻ,
ࣨሺ Qu, u, ABu, t ሻ, ࣨሺABu, Qu, u, t ሻ
ൠ.
This implies
ℳሺABu, u, u, qtሻ ≥ min ൜
ℳሺABu, ABu, u, t ሻ, ℳሺABu, ABu, u, t ሻ,
ℳሺu, u, ABu, t ሻ, ℳሺABu, u, u, t ሻ
ൠ
ࣨሺABu, u, u, qtሻ ≤ max ൜
ࣨሺABu, ABu, u, t ሻ, ࣨሺABu, ABu, u, t ሻ,
ࣨሺu, u, ABu, t ሻ, ࣨሺABu, u, u, t ሻ
ൠ .
Therefore by lemma (2.6) we have ABu = u. Thus Pu = Qu = ABu = u.
Put x = u, y = u, z = Qx2n-1, in (iv) we get
ℳሺPu, QQxଶ୬ିଵ, QQxଶ୬ିଵ, qt ሻ ≥ min ൜
ℳሺu, u, u, t ሻ, ℳሺ u, u, STu, t ሻ,
ℳሺu, STu, u, t ሻ, ℳሺ u, u, , STu, t ሻ
ൠ
ࣨሺPu, QQxଶ୬ିଵ, QQxଶ୬ିଵ, qt ሻ ≤ max ൜
ࣨሺu, u, u, t ሻ, ࣨሺ u, u, STu, t ሻ,
ࣨሺu, STu, u, t ሻ, ࣨሺ u, u, , STu, t ሻ
ൠ,
On using lemma, (2.6) we have
ℳሺSTu, STu, u, qt ሻ ≥ ℳሺ STu, STu, u, t ሻ and
ℳሺSTu, STu, u, qt ሻ ≥ ℳሺ STu, STu, u, t ሻ
ࣨ(STu, STu, u, qt ) ≤ ࣨ( STu, STu, u, t ).
Thus STu = u. We get Pu = Qu = ABu = STu = u.
Uniqueness
Let w be another common fixed point of A, B, P, Q, S and T. Then
ℳሺ Pu, Qw, Qw, qt ሻ ≥ min ൜
ℳሺABu, Pw, Qw, t ሻ, ℳሺ ABu, Pw, STw, t ሻ,
ℳሺ Qw, STw, Pw, t ሻ, ℳሺ ABu, Qw, STw, t ሻ
ൠ
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015
12
ℳሺ u, w, w, qt ሻ ≥ min ൜
ℳሺ u, w, w, t ሻ, ℳሺ u, w, w, t ሻ,
ℳሺ w, w, w, t ሻ, ℳሺ u, w, w, t ሻ
ൠ
ℳሺ u, w, w, qt ሻ ≥ ℳሺ u, w, w, t ሻ and
ࣨሺ Pu, Qw, Qw, qt ሻ ≤ max ൜
ࣨሺABu, Pw, Qw, t ሻ, ࣨ ሺ ABu, Pw, STw, t ሻ,
ࣨሺ Qw, STw, Pw, t ሻ, ࣨሺ ABu, Qw, STw, t ሻ
ൠ
ࣨሺ u, w, w, qt ሻ ≤ max ൜
ࣨሺ u, w, w, t ሻ, ࣨሺ u, w, w, t ሻ,
ࣨሺ w, w, w, t ሻ, ࣨሺ u, w, w, t ሻ
ൠ ࣨሺ u, w, w, qt ሻ ≤ ࣨሺ u, w, w, t ሻ,
which is a contradiction. Therefore u = w.
Hence the common fixed point is unique.
Corollary 4.2
Let (X, ℳ, ࣨ, ∗,◊) be a complete generalized intuitionistic fuzzy metric space and let A, P,Q and
S be self mappings of X satisfying the following conditions.
(i) P(X) ⊆ S(X), Q(X) ⊆ A(X)
(ii) The pair (P,A) and (Q,S) are compatible mappings of type (P)
(iii) S is continuous
(iv) ℳ( Px, Qz, Qz, qt ) ≥ min { ℳ( Ax, Py, Qy, t ), ℳ( Ax, Py, Sz, t ),
ℳ( Qy, Sz, Py, t ), ℳ( Ax, Qy, Sz, t )} and
ࣨ( Px, Qz, Qz, qt ) ≤ max {ࣨ( Ax, Py, Qy, t ), ࣨ( Ax, Py, Sz, t ),
ࣨ( Qy, Sz, Py, t ), ࣨ( Ax, Qy, Sz, t )}.
Then the mappings P, Q, A and S have a unique common fixed point in X.
Corollary 4.3
Let (X, ℳ, ࣨ, ∗,◊) be a complete generalized intuitionistic fuzzy metric space and let B,P,Q and
T be self mappings of X satisfying the conditions (i), (ii), (iii), & (iv) with S = I and A = I;
Then the mappings B, P,Q and T have a unique common fixed point.
Corollary 4.4
Let ( X, ℳ, ࣨ, ∗, ◊ ) be a complete generalized intuitionistic fuzzy metric space and let
A,B,P,Q,S and T be self mappings of X satisfying the following conditions:
(i) P(X) ⊆ ST(X), Q(X) ⊆ AB(X)
(ii) The pair (P, AB) and (Q, ST) are compatible mappings of type (P)
(iii) ST is continuous
(iv) ℳ( Px, Qz, Qz, qt) ≥ ℳ( ABx, Py, Qy, t) ∗ ℳ(ABx, Py, STz, t) ∗
ℳ( Qy, STz, Py, t) ∗ ℳ(ABx,Qy,STz,t) and
ࣨ( Px, Qz, Qz, qt) ≤ ࣨ( ABx, Py, Qy, t) ◊ ࣨ( ABx, Py, STz, t) ◊
ࣨ( Qy, STz, Py, t) ◊ ࣨ( ABx, Qy, STz, t)
Then the mappings P,Q,AB and ST have a unique common fixed point in X.
Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015
13
REFERENCES
1) Atanassov. K, Intuionistic fuzzy set and system, 29, (1986),87.
2) Banach. S, Theoric les operations linearires manograie, Mathmatyezne Warsaw, Poland, (1932)
3) Cho Y J, Pathak H K, Kang S M & Jang J S, Common fixed points of compatible maps of type (b) of
fuzzy metric spaces, fuzzy sets and systems 93, (1998) 99.
4) Choudhary B S, A unique common fixed point theorem for sequence of self maps in menger spaces,
Bull. Korean math, Soc. 37 (2000). No. 3
5) Dahe, B.C ,Generalized metric spaces with fixed point, Bull.Calcutta Math.Soc.,84(4)(1992),107-113.
6) Deng Z K, Fuzzy pseudo- metric spaces, J. Math. Anal , Appl. 86 (1982) 74.
7) Fang J X, On fixed point theorems in fuzzy metric spaces, fuzzy sets and systems, 46,(1992) 107.
8) George A & Veeramani P, On some results in fuzzy metric spaces, fuzzy sets and systems 64, (1994)
395 - 399.
9) Grabiec M, Fixed points in fuzzy metric spaces, fuzzy sets and systems, 27(1988)385-389.
10) Gregori, VRomaguera. S. and Veereamani, P., A Note on Intuitionistic Fuzzy Metric Spaces, Chaos,
Solitons and Fractals, vol.28, (2006) 902 – 905.
11) Jungck, commuting mappings and fixed points, Amer. Math. Monthly, 83 (1976),261.
12) Kaleva O , Seikkala, S, On fuzzy metric spaces, Fuzzy sets and system, (1962) 122.
13) Kramosil I & Michalek J, Fuzzy metric and statistical metric spaces, kyberntika Appl. 50, (1985)142.
14) Mishra S N, Sharma N & Singh S I, common fixed point of maps on fuzzy metric spaces, Inter.
J.Math. Sci. 17, (1994) 253.
15) Muthuraj. R, Pandiselvi .R, Common Fixed Point Theorems for compatible mappings of type (P-1)
and type (P-2) in M- fuzzy metric spaces, Arab journal of mathematics & mathematical science,
Volume 3, No. 1-10(2013).
16) Park J H, Kwun Y C, & Park J H, A fixed point theorem in the intuitionistic fuzzy metric spaces, far
east J. Math. Sci. 16 (2005), 137-149.
17) Pathak H.K and M.S.Khan, A comparison of various types of Compatible maps and common fixed
points, Indian J. Pure .appl.Math. 28(4).477-485 April 1977.
18) Surjith Singh Chauhan, Common Fixed Point Theorem for Two Pairs of Weakly Compatible
Mappings in M -fuzzy Metric Spaces, Int.Journal of Math.Analysis, Vol.3, 2009, no.8,393-398.
19) S.Sedghi and N.Shobe, Fixed point theorem in M -fuzzy metric spaces with property (E), Advances in
fuzzy Mathematics, 1(1) (2006), 55-65.
20) Surjeet singh chauhan & Kiran utreja 2012, Common Fixed Point Theorem on M-fuzzy metric space
using the concept of compatibility of type (P), Research Journal of Pure Algebra , 2(11), 2012, 350-
354
21) Turkoglu D, Altun I & Cho Y J, Common fixed points of compatible mappings of type (I) and type
(II) in fuzzy metric spaces, J. fuzzy math. 15(2007), 435.
22) Turkoglu D, Alaca C, Cho Y J & Yildiz C, common fixed point theorems in intuitionistic fuzzy
metric Spaces, J. Appl, Math, and computing 22(2006), 41.
23) Zadeh L A, Fuzzy sets, inform, and control 8 (1965) 338.]
Authors
Dr.R.Muthuraj received his Ph.D degree in Mathematics from Alagappa University
Karaikudi, Tamil nadu, India in April 2010. Presently he is an Assistant Professor ,
PG & Research Department of Mathematics, H.H.The Rajah’s College,
Pudukkottai 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, Fixed point theory and Fuzzy Graph Theory.
R. Pandiselvi received her M.Phil degree from School of Mathematics, Madurai
Kamaraj University, Madurai, Tamilnadu, India. Now she is doing Ph.D at
Bharathidasan University Tiruchirappalli,Tamilnadu, India. Presently she is
working as an Associate Professor in Mathematics , The Madura college, Madurai,
Tamilnadu, India. She has published over 10 papers in reputed National and
International journals. Her research area is Fixed Point Theory.

More Related Content

What's hot

A unique common fixed point theorem for four
A unique common fixed point theorem for fourA unique common fixed point theorem for four
A unique common fixed point theorem for four
Alexander Decker
 

What's hot (17)

Common fixed point theorems using faintly compatible
Common fixed point theorems using faintly compatibleCommon fixed point theorems using faintly compatible
Common fixed point theorems using faintly compatible
 
Fixed point theorem in fuzzy metric space with e.a property
Fixed point theorem in fuzzy metric space with e.a propertyFixed point theorem in fuzzy metric space with e.a property
Fixed point theorem in fuzzy metric space with e.a property
 
A common fixed point theorem in cone metric spaces
A common fixed point theorem in cone metric spacesA common fixed point theorem in cone metric spaces
A common fixed point theorem in cone metric spaces
 
Bc4301300308
Bc4301300308Bc4301300308
Bc4301300308
 
Fixed Point Theorem in Fuzzy Metric Space Using (CLRg) Property
Fixed Point Theorem in Fuzzy Metric Space Using (CLRg) PropertyFixed Point Theorem in Fuzzy Metric Space Using (CLRg) Property
Fixed Point Theorem in Fuzzy Metric Space Using (CLRg) Property
 
Common Fixed Point Theorems in Uniform Spaces
Common Fixed Point Theorems in Uniform SpacesCommon Fixed Point Theorems in Uniform Spaces
Common Fixed Point Theorems in Uniform Spaces
 
Nonlinear perturbed difference equations
Nonlinear perturbed difference equationsNonlinear perturbed difference equations
Nonlinear perturbed difference equations
 
On fixed point theorems in fuzzy metric spaces in integral type
On fixed point theorems in fuzzy metric spaces in integral typeOn fixed point theorems in fuzzy metric spaces in integral type
On fixed point theorems in fuzzy metric spaces in integral type
 
Fixed points theorem on a pair of random generalized non linear contractions
Fixed points theorem on a pair of random generalized non linear contractionsFixed points theorem on a pair of random generalized non linear contractions
Fixed points theorem on a pair of random generalized non linear contractions
 
Hk3114251433
Hk3114251433Hk3114251433
Hk3114251433
 
International Journal of Mathematics and Statistics Invention (IJMSI)
International Journal of Mathematics and Statistics Invention (IJMSI) International Journal of Mathematics and Statistics Invention (IJMSI)
International Journal of Mathematics and Statistics Invention (IJMSI)
 
Fixed point theorems for four mappings in fuzzy metric space using implicit r...
Fixed point theorems for four mappings in fuzzy metric space using implicit r...Fixed point theorems for four mappings in fuzzy metric space using implicit r...
Fixed point theorems for four mappings in fuzzy metric space using implicit r...
 
Fixed Point Results for Weakly Compatible Mappings in Convex G-Metric Space
Fixed Point Results for Weakly Compatible Mappings in Convex G-Metric SpaceFixed Point Results for Weakly Compatible Mappings in Convex G-Metric Space
Fixed Point Results for Weakly Compatible Mappings in Convex G-Metric Space
 
A unique common fixed point theorem for four
A unique common fixed point theorem for fourA unique common fixed point theorem for four
A unique common fixed point theorem for four
 
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
 
Compatible Mapping and Common Fixed Point Theorem
Compatible Mapping and Common Fixed Point TheoremCompatible Mapping and Common Fixed Point Theorem
Compatible Mapping and Common Fixed Point Theorem
 
(α ψ)- Construction with q- function for coupled fixed point
(α   ψ)-  Construction with q- function for coupled fixed point(α   ψ)-  Construction with q- function for coupled fixed point
(α ψ)- Construction with q- function for coupled fixed point
 

Similar to COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZED INTUITIONISTIC FUZZY METRIC SPACES

Similar to COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZED INTUITIONISTIC FUZZY METRIC SPACES (20)

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...
 
Fixed Point Results In Fuzzy Menger Space With Common Property (E.A.)
Fixed Point Results In Fuzzy Menger Space With Common Property (E.A.)Fixed Point Results In Fuzzy Menger Space With Common Property (E.A.)
Fixed Point Results In Fuzzy Menger Space With Common Property (E.A.)
 
11.common fixed points of weakly reciprocally continuous maps using a gauge f...
11.common fixed points of weakly reciprocally continuous maps using a gauge f...11.common fixed points of weakly reciprocally continuous maps using a gauge f...
11.common fixed points of weakly reciprocally continuous maps using a gauge f...
 
Common fixed points of weakly reciprocally continuous maps using a gauge func...
Common fixed points of weakly reciprocally continuous maps using a gauge func...Common fixed points of weakly reciprocally continuous maps using a gauge func...
Common fixed points of weakly reciprocally continuous maps using a gauge func...
 
B043007014
B043007014B043007014
B043007014
 
B043007014
B043007014B043007014
B043007014
 
B043007014
B043007014B043007014
B043007014
 
Existance Theory for First Order Nonlinear Random Dfferential Equartion
Existance Theory for First Order Nonlinear Random Dfferential EquartionExistance Theory for First Order Nonlinear Random Dfferential Equartion
Existance Theory for First Order Nonlinear Random Dfferential Equartion
 
A Fixed Point Theorem Using Common Property (E. A.) In PM Spaces
A Fixed Point Theorem Using Common Property (E. A.) In PM SpacesA Fixed Point Theorem Using Common Property (E. A.) In PM Spaces
A Fixed Point Theorem Using Common Property (E. A.) In PM Spaces
 
A weaker version of continuity and a common fixed point theorem
A weaker version of continuity and a common fixed point theoremA weaker version of continuity and a common fixed point theorem
A weaker version of continuity and a common fixed point theorem
 
International Journal of Mathematics and Statistics Invention (IJMSI)
International Journal of Mathematics and Statistics Invention (IJMSI) International Journal of Mathematics and Statistics Invention (IJMSI)
International Journal of Mathematics and Statistics Invention (IJMSI)
 
Extension of Some Common Fixed Point Theorems using Compatible Mappings in Fu...
Extension of Some Common Fixed Point Theorems using Compatible Mappings in Fu...Extension of Some Common Fixed Point Theorems using Compatible Mappings in Fu...
Extension of Some Common Fixed Point Theorems using Compatible Mappings in Fu...
 
research paper publication
research paper publicationresearch paper publication
research paper publication
 
The existence of common fixed point theorems of generalized contractive mappi...
The existence of common fixed point theorems of generalized contractive mappi...The existence of common fixed point theorems of generalized contractive mappi...
The existence of common fixed point theorems of generalized contractive mappi...
 
Semicompatibility and fixed point theorem in fuzzy metric space using implici...
Semicompatibility and fixed point theorem in fuzzy metric space using implici...Semicompatibility and fixed point theorem in fuzzy metric space using implici...
Semicompatibility and fixed point theorem in fuzzy metric space using implici...
 
Semicompatibility and fixed point theorem in fuzzy metric space using implici...
Semicompatibility and fixed point theorem in fuzzy metric space using implici...Semicompatibility and fixed point theorem in fuzzy metric space using implici...
Semicompatibility and fixed point theorem in fuzzy metric space using implici...
 
Existence Theory for Second Order Nonlinear Functional Random Differential Eq...
Existence Theory for Second Order Nonlinear Functional Random Differential Eq...Existence Theory for Second Order Nonlinear Functional Random Differential Eq...
Existence Theory for Second Order Nonlinear Functional Random Differential Eq...
 
Some properties of two-fuzzy Nor med spaces
Some properties of two-fuzzy Nor med spacesSome properties of two-fuzzy Nor med spaces
Some properties of two-fuzzy Nor med spaces
 
On uniformly continuous uniform space
On uniformly continuous uniform spaceOn uniformly continuous uniform space
On uniformly continuous uniform space
 
Unique fixed point theorems for generalized weakly contractive condition in o...
Unique fixed point theorems for generalized weakly contractive condition in o...Unique fixed point theorems for generalized weakly contractive condition in o...
Unique fixed point theorems for generalized weakly contractive condition in o...
 

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
 
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
 
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
 

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...
 
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
 
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 ...
 

Recently uploaded

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
 

Recently uploaded (20)

Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
JohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptxJohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptx
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
Introduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDMIntroduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDM
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUKSpring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
 

COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZED INTUITIONISTIC FUZZY METRIC SPACES

  • 1. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015 DOI : 10.5121/mathsj.2015.2301 1 COMMON FIXED POINT THEOREMS IN COMPATIBLE MAPPINGS OF TYPE (P*) OF GENERALIZED INTUITIONISTIC FUZZY METRIC SPACES R.Muthuraj1 & R.Pandiselvi2 1 PG and Research Department of Mathematics, H.H.The Rajah’s College, Pudukkottai – 622 001, India. 2 Department of Mathematics, The Madura college, Madurai – 625 011, India. ABSTRACT In this paper, we give some new definition of Compatible mappings of type (P), type (P-1) and type (P-2) in intuitionistic generalized fuzzy metric spaces and prove Common fixed point theorems for six mappings under the conditions of compatible mappings of type (P-1) and type (P-2) in complete intuitionistic fuzzy metric spaces. Our results intuitionistically fuzzify the result of Muthuraj and Pandiselvi [15] Mathematics subject classifications: 45H10, 54H25 KEYWORDS Intuitionistic fuzzy metric spaces, compatible mappings of type ( P ), type (P-1) and type (P-2) , common fixed point . 1.INTRODUCTION The Concept of fuzzy set was introduced by Zadeh [23] in 1965 .Following the concept of fuzzy sets, Deng [6] Kaleva and Seikalla [12] and kramosil and Michalek [13] introduced the concept of fuzzy metric space, George and Veeramani [7] modified the concept of fuzzy metric space introduced by kramosil and Michalek [13] . Further, Sedghi and Shobe [19] defined ℳ-fuzzy metric space and proved a common fixed point theorem in it. Jong Seo Park [15] introduced the concept of semi compatible and Weak Compatible maps in fuzzy metric space and proved some fixed point theorems satisfying certain conditions in ℳ-fuzzy metric spaces. As a generalization of fuzzy sets, Atanassov [1] introduced and studied the concept of intuitionistic fuzzy sets. Using the idea of intuitionistic fuzzy sets Park [16] defined the notion of intuitionistic fuzzy metric space with the help of continuous t- norm and continuous t- conorm as a generalization of fuzzy metric space, George and Veeramani [8] had showed that every metric induces an intuitionistic fuzzy metric and found a necessary and sufficient conditions for an intuitionistic fuzzy metric space to be complete. Choudhary [4] introduced mutually contractive sequence of self maps and proved a fixed point theorem. Kramaosil and Michalek [13] introduced the notion of Cauchy sequences in an intuitionistic fuzzy metric space and proved the well known fixed point theorem of Banach[2]. Turkoglu et al [22] gave the generalization of Jungck’s[11] Common fixed point theorem to intuitionistic fuzzy metric spaces.
  • 2. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015 2 In this paper, we extend the result of common fixed point theorem for compatible mappings of type (P-1) and type (P-2) in intuitionistic fuzzy metric space and prove common fixed point theorem of type (P-1) and type (P-2) in intuitionistic fuzzy metric spaces, we also give an example to validate our main theorem. Our results intuitionistically fuzzify the result of Muthuraj and Pandiselvi [15]. 2. PRELIMINARIES We start with the following definitions. Definition 2.1 A binary operation ∗ : [0,1] × [0,1] → [0,1] is said to be a continuous t-norm if * is satisfies the following conditions. (i) ∗ is commutative and associative, (ii) ∗ is continuous, (iii) a∗1 = a for all a∈ [0,1], (iv) a∗b ≤ c∗d whenever a ≤ c and b ≤ d for all a,b,c,d ∈ [0,1]. Definition 2.2 A binary operation ◊ : [0,1] × [0,1] → [0,1] is said to be a continuous t-conorm if ◊ satisfies the following conditions : (i) ◊ is commutative and associative, (ii) ◊ is continuous, (iii) a ◊ 0 = a for all a ∈ [0,1], (iv) a ◊ b ≤ c ◊ d whenever a ≤ c and b ≤ d for all a,b,c,d ∈ [0,1]. Definition 2.3 A 5-tuple (X, ℳ, ࣨ, ∗, ◊) is called an intuitionistic fuzzy metric space if X is an arbitrary set, ∗ is a continuous t-norm, ◊ a continuous t-conorm and ℳ, ࣨ are fuzzy sets on X3 × (0, ∞), satisfying the following conditions, for each x, y, z, a∈X and t, s > 0, a) ℳ( x, y, z, t ) + ࣨ( x, y, z, t ) ≤ 1. b) ℳ( x, y, z, t ) > 0. c) ℳ( x, y, z, t ) = 1 if and only if x = y = z. d) ℳ( x, y, z, t ) = ℳ ( p{ x, y, z}, t) where p is a permutation function, e) ℳ( x, y, a, t ) ∗ ℳ( a, z, z, s ) ≤ ℳ( x, y, z, t + s ) f) ℳ( x, y, z ) : ( 0, ∞) → [0, 1] is continuous g) ࣨ( x, y, z, t ) > 0 h) ࣨ( x, y, z, t ) = 0, if and only if x = y = z, i) ࣨ( x, y, z, t = ࣨ( p{ x, y, z}, t) where p is a permutation function, j) ࣨ( x, y, a, t ) ◊ ࣨ( a, z, z, s ) ≥ ࣨ( x, y, z, t + s ), k) ࣨ( x, y, z, ⋅) : ( 0, ∞) → [0, 1] is continuous. Then (ℳ, ࣨ) is called an intuitionistic fuzzy metric on X.
  • 3. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015 3 Example 2.4 Let X = R, and ℳ(x, y, z, t ) = ୲ ୲ା|୶ି୷|ା|୷ି୸|ା|୸ି୶| , ࣨ( x, y, z, t ) = |୶ି୷|ା|୷ି୸|ା|୸ି୶| ୲ା|୶ି୷|ା|୷ି୸|ା|୸ି୶| for every x, y, z and t > 0, let A and B defined as Ax = 2x + 1, Bx = x + 2, consider the sequence xn = ଵ ୬ +1, n = 1 , 2,… Thus we have lim ୬→∞ ℳ(Axn, 3, 3, t) = lim ୬→∞ ℳ(Bxn, 3, 3, t) =1 and lim ୬→∞ ࣨ( Axn, 3, 3, t) = lim ୬→∞ ࣨ( Bxn, 3, 3, t) = 0, for every t > 0. Then A and B satisfying the property (E). Definition 2.5 Let (X, ℳ, ࣨ, ∗,◊ ) be an intuitionistic fuzzy metric space and {xn} be a sequence in X. a) {xn} is said to be converges to a point x∈X, if lim ୬→∞ ℳ( x, x, xn, t ) = 1 and lim ୬→∞ ࣨ( x, x, xn, t ) = 0, for all t > 0. b) {xn} is called Cauchy sequence if lim ୬→∞ ℳ(xn+p, xn+p, xn, t) = 1 and lim ୬→∞ ࣨ(xn+p, xn+p, xn, t) = 0 for all t > 0 and p > 0. c) An intuitionistic fuzzy metric space in which every Cauchy sequence is convergent is said to be complete. Lemma 2.6 Let (X, ℳ, ࣨ, ∗, ◊) be an intuitionistic fuzzy metric space. Then ℳ(x, y, z, t) and ࣨ(x, y, z, t) are non-decreasing with respect to t, for all x, y, z in X. Proof By definition 2.3, for each x, y, z, a ∈X and t, s > 0 we have ℳ(x, y, a, t ) ∗ ℳ(a, z, z, s ) ≤ ℳ(x, y, z, t + s ). If we set a = z, we get ℳ(z, y, z, t ) ∗ ℳ(z, z, z, s ) ≤ ℳ(x, y, z, t + s ), that is ℳ(x, y, z, t + s ) ≥ ℳ(x, y, z, t ). Similarly, ࣨ(x, y, a, t) ◊ ࣨ(a, z, z, s ) ≥ ࣨ(x, y, z, t + s ), for each x, y, z, a∈X and t, s > 0, by definition of (X, ࣨ, ◊ ). If we set a = z, we get ࣨ(x, y, z, t ) ◊ ࣨ(z, z, z, s ) ≥ ࣨ(x, y, z, t + s ) that is ࣨ(x, y, z, t + s ) ≤ ࣨ(x, y, z, t) .Hence in IFMS (X, ℳ, ࣨ, ∗, ◊ ), ℳ(x, y, z, t ) and ࣨ(x, y, z, t ) are non-decreasing with respect to t, for all x, y, z in X.
  • 4. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015 4 3.COMPATIBLE MAPPINGS OF TYPE Definition 3.1 Let A and S be self mappings from an intuitionistic fuzzy metric space (X, ℳ, ࣨ, ∗,◊) into itself. Then the mappings are said to be compatible if lim ୬→∞ ℳ(ASxn, SAxn, SAxn, t) = 1 and lim ୬→∞ ࣨ(ASxn, SAxn, SAxn, t) = 0, for all t > 0 whenever {xn} is a sequence in X such that lim ୬→∞ Axn = lim ୬→∞ Sxn = z for some z∈X. Definition 3.2 Let A and S be self mappings from an intuitionistic fuzzy metric space (X, ℳ, ࣨ, ∗, ◊ ) into itself. Then the mappings are said to be compatible of type (P), if lim ୬→∞ ℳ(AAxn, SSxn, SSxn, t ) = 1 and lim ୬→∞ ࣨ(AAxn, SSxn, SSxn, t ) = 0 for all t > 0, whenever {xn} is a sequence in X such that lim ୬→∞ Axn = lim ୬→∞ Sxn = z for some z∈X. Definition 3.3 Let A and S be self mappings from an intuitionistic fuzzy metric space (X, ℳ, ࣨ, ∗, ◊) into itself. Then the mappings are said to be R-Weakly commuting of type (P), if there exists some R > 0, such that ℳ(AAx, SSx, SSx, t) ≥ ℳ( Ax, Sx, Sx, ୲ ୖ ), ࣨ(AAx, SSx, SSx, t) ≤ ࣨ(Ax, Sx, Sx, ୲ ୖ ), for all x in X and t > 0. Definition 3.4 Let A and S be self mappings from an intuitionistic fuzzy metric space (X, ℳ, ࣨ, ∗, ◊) into itself. Then the mappings are said to be compatible of type (P-1) if lim ୬→∞ ℳ(SAxn, AAxn, AAxn, t ) = 1 and lim ୬→∞ ࣨ( SAxn, AAxn, AAxn, t ) = 0 for all t > 0, whenever {xn} is a sequence in X such that lim ୬→∞ Axn = lim ୬→∞ S xn = z for some z∈X. Definition 3.5 Let A and S be self mappings from an intuitionistic fuzzy metric space (X, ℳ, ࣨ, ∗,◊ ) into itself. Then the mappings are said to be compatible of type (P-2) if lim ୬→∞ ℳ (AAxn, SSxn, SSxn, t) = 1 and lim ୬→∞ ࣨ(AAxn, SSxn, SSxn, t) = 0 for all t > 0 whenever {xn} is a sequence in X such that lim ୬→∞ Axn = lim ୬→∞ Sxn = z for some z∈X.
  • 5. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015 5 Proposition 3.6 Let A and S be self mappings from an intuitionistic fuzzy metric space (X, ℳ, ࣨ, ∗, ◊ ) into itself. a) If A is continuous map then the pair of mappings (A, S) is compatible of type (P-1) if and only if A and S are compatible. b) If S is a continuous map then the pair of mappings (A, S) is compatible of type (P-2) if and only if A and S are compatible. Proof a) Let lim ୬→∞ Axn = lim ୬→∞ Sxn = z for some z ∈ X, and let the pair (A, S) be compatible of type (P-1). Since A is continuous, we have lim ୬→∞ ASxn = Az and lim ୬→∞ AAxn = Az. Therefore it follows that ℳሺ SAx୬, ASx୬, ASx୬, t ሻ ≥ ℳ ቀ SAx୬, AAx୬, AAx୬, ୲ ଶ ቁ ∗ ℳሺ AAx୬, ASx୬, ASx୬, ୲ ଶ ሻ and ࣨሺ SAx୬, ASx୬, ASx୬, t ሻ ≤ ࣨ ቀ SAx୬, AAx୬, AAx୬, ୲ ଶ ቁ ◊ ࣨሺ AAx୬, ASx୬, ASx୬, ୲ ଶ ሻ yields lim ୬→∞ ℳ ( SAxn, ASxn, ASxn, t ) ≥ 1 ∗ 1 = 1 and lim ୬→∞ ࣨ( SAxn, ASxn, ASxn, t ) ≤ 0 ◊ 0 = 0 and so the mappings A and S are compatible. Now, let A and S be compatible. Therefore it follows that ℳሺSAx୬, AAx୬, AAx୬, t ሻ ≥ ℳ ൬SAx୬, ASx୬, ASx୬, t 2 ൰ ∗ ℳሺASx୬, AAx୬, AAx୬, t 2 ሻ ࣨሺSAx୬, AAx୬, AAx୬, t ሻ ≤ ࣨ ൬SAx୬, ASx୬, ASx୬, t 2 ൰ ◊ ࣨሺASx୬, AAx୬, AAx୬, t 2 ሻ yields lim ୬→∞ ℳ(SAxn, AAxn, AAxn, t ) ≥ 1 ∗ 1 = 1 and lim ୬→∞ ࣨ( SAxn, AAxn, AAxn, t ) ≤ 0 ◊ 0 = 0 and so that pair of mappings (A,S) are compatible of type (P-1).
  • 6. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015 6 b) Let lim ୬→∞ Sxn = lim ୬→∞ Axn = z for some z in X and let the pair (A, S) be compatible of type (P-2). Since S is continuous, we have lim ୬→∞ SAxn = Sz and lim ୬→∞ SSxn = Sz. Therefore it follows that ℳሺSAx୬, ASx୬, ASx୬, tሻ ≥ ℳ ൬SAx୬, SSx୬, SSx୬, t 2 ൰ ∗ ℳ ቀSSx୬, ASx୬, ASx୬, ୲ ଶ ቁ and ࣨሺSAx୬, ASx୬, ASx୬, tሻ ≤ ࣨ ൬SAx୬, SSx୬, SSx୬, t 2 ൰ ◊ ࣨ ൬SSx୬, ASx୬, ASx୬, t 2 ൰ yields lim ୬→∞ ℳ( SAxn, ASxn, ASxn, t ) ≥ 1 ∗ 1 = 1 and lim ୬→∞ ࣨ( SAxn, ASxn, ASxn, t ) ≤ 0 ◊ 0 = 0 and so the mappings A and S are compatible. Now let A and S be compatible. Then we have ℳሺASx୬, SSx୬, SSx୬, tሻ ≥ ℳ ൬ASx୬, SAx୬, SAx୬, t 2 ൰ ∗ ℳ ቀSAx୬, SSx୬, SSx୬, ୲ ଶ ቁ and ࣨሺASx୬, SSx୬, SSx୬, tሻ ≤ ࣨ ൬ASx୬, SAx୬, SAx୬, t 2 ൰ ◊ ࣨ ൬SAx୬, SSx୬, SSx୬, t 2 ൰ yields lim ୬→∞ ℳ(ASxn, SSxn, SSxn, t ) ≥ 1 ∗ 1 = 1 and lim ୬→∞ ࣨ(ASxn, SSxn, SSxn, t) ≤ 0 ◊ 0 = 0 and so the pair of mappings (A, S) are compatible of type (P-2). Proposition 3.7 Let A and S be self mappings from an intuitionistic fuzzy metric space (X, ℳ, ࣨ, ∗, ◊) into itself. If the pair (A, S) is compatible of type (P-2) and Sz = Az for some z∈X. Then ASz = SSz. Proof: Let { xn} be a sequence in X defined by xn = z for n=1,2,… and let Az = Sz. Then we have lim ୬→∞ Sxn = Sz and lim ୬→∞ Axn = Az. Since the pair (A, S) is compatible of type (P-2), we have ℳ( ASz, SSz, SSz, t ) = lim ୬→∞ ℳሺASxn, SSxn, SSxn, t ) = 1 and ࣨ( ASz, SSz, SSz, t ) = lim ୬→∞ ࣨ(ASxn, SSxn, SSxn, t ) = 0. Hence ASz = SSz.
  • 7. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015 7 Proposition 3.8 Let A and S self mappings from an intuitionistic fuzzy metric space (X, ℳ, ࣨ, ∗, ◊) with t ∗ t ≥ t and (1- t) ◊ (1- t) ≤ 1- t for all t ∈ [0, 1] if the pair (A, S) are compatible of type (p -1) and Axn, Sxn → z for some z in X and a sequence {xn} in X. Then AAxn → Sz, if S is continuous at z. Proof Since S is continuous at z, we have SAxn → Sz. Since the pair (A, S) are compatible of type (P-1), we have ℳ(SAxn, AAxn, AAxn, t) → 1 as n → ∞. It follows that ℳ( Sz, AAxn, AAxn, t) ≥ ℳ( Sz, SAxn, SAxn, ୲ ଶ ) ∗ ℳ( SAxn, AAxn, AAxn, ୲ ଶ ) and ࣨ (Sz, AAxn, AAxn, t ) ≤ ࣨ (Sz, SAxn, SAxn, ୲ ଶ ) ∗ ࣨ( SAxn, AAxn, AAxn, ୲ ଶ ) yield ℳ (Sz, AAxn, AAxn, t) ≥ 1 ∗1 = 1 and ࣨ(Sz, AAxn, AAxn, t) ≤ 0 ◊ 0 = 0 and so we have AAxn → Sz as n → ∞. Proposition 3.9 Let A and S be self mappings from an intuitionistic fuzzy metric space (X, ℳ, ࣨ, ∗, ◊) with t ∗t ≥ t and (1- t) ◊ (1- t) ≤ 1- t for t ∈ [0, 1]. If the pair (A, S) are compatible of type (P - 2) and Axn, Sxn→z for some z in X and sequence {xn} in X. Then SSxn → Az if A is continuous at z. Proof Since A is continuous at z, we have ASxn → Az. Since the pair (A, S) are compatible of type (P - 2), we have ℳ( ASxn, SSxn, SSxn, t ) →1 as n→∞, it follows that ℳ(Az, SSxn, SSxn, t ) ≥ ℳ(Az, ASxn, ASxn, ୲ ଶ ) ∗ ℳ( ASxn, SSxn, SSxn, ୲ ଶ ) and ࣨ(Az, SSxn, SSxn, t ) ≤ ࣨ(Az, ASxn, ASxn, ୲ ଶ ) ◊ ࣨ(ASxn, SSxn, SSxn, ୲ ଶ ) yield lim ୬→∞ ℳ(Az, SSxn, SSxn, t ) ≥ 1 ∗ 1 = 1 and lim ୬→∞ ࣨ( Az, SSxn, SSxn, t ) ≤ 0 ◊ 0 = 0 and so we have SSxn → Az as n → ∞.
  • 8. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015 8 4. MAIN RESULTS Theorem 4.1 Let (X, ℳ, ࣨ, ∗,◊) be a complete generalized intuitionistic fuzzy metric space and let A, B, P,Q, S and T be self mappings of X satisfying the following conditions. (i) P(X) ⊆ ST (X), Q(X) ⊆ AB(X) (ii) The pair (P, AB) and (Q, ST) are compatible mappings of type (P) (iii) ST is continuous (iv) ℳ( Px, Qz, Qz, qt) ≥ min {ℳ(ABx, Py, Qy, t), ℳ(ABx, Py, STz, t), ℳ(Qy, STz, Py, t), ℳ(ABx, Qy, STz, t)} and ࣨ( Px, Qz, Qz, qt) ≤ max{ ࣨ(ABx, Py,Qy, t), ࣨ(ABx, Py, STz, t), ࣨ(Qy, STz, Py, t), ࣨ(ABx, Qy, STz, t)} then the mappings P, Q, AB and ST have a unique common fixed point in X. Proof Let x0 be any arbitrary point in X. Thus we construct a sequence {yn} in X such that y2n-1 = STx2n-1 = Px2n-2 and y2n = ABx2n = Qx2n-1. Put x = x2n-1, y = x2n-1, z = x2n. ℳሺ Pxଶ୬ିଵ, Qxଶ୬, Qxଶ୬, qt ሻ ≥ min ‫ە‬ ‫۔‬ ‫ۓ‬ ℳሺ ABxଶ୬ିଵ, Pxଶ୬ିଵ, Qxଶ୬ିଵ, t ሻ, ℳሺABxଶ୬ିଵ, Pxଶ୬ିଵ, STxଶ୬, t ሻ, ℳሺ Qxଶ୬ିଵ, STxଶ୬, Pxଶ୬ିଵ, t ሻ, ℳሺ ABxଶ୬ିଵ, Qxଶ୬ିଵ, STxଶ୬, t ሻ ۙ ۘ ۗ ℳሺ yଶ୬, yଶ୬ାଵ, yଶ୬ାଵ, qt ሻ ≥ min ‫ە‬ ‫۔‬ ‫ۓ‬ ℳሺ yଶ୬ିଵ, yଶ୬, yଶ୬, t ሻ, ℳሺ yଶ୬ିଵ, yଶ୬, yଶ୬, t ሻ, ℳሺ yଶ୬, yଶ୬, yଶ୬, t ሻ, ℳሺyଶ୬ିଵ, yଶ୬, yଶ୬, t ሻ ۙ ۘ ۗ ℳሺ yଶ୬, yଶ୬ାଵ, yଶ୬ାଵ, qtሻ ≥ ℳሺyଶ୬ିଵ, yଶ୬, yଶ୬, tሻ This implies that ℳሺ yଶ୬, yଶ୬ାଵ, yଶ୬ାଵ, tሻis an increasing sequence of positive real numbers. ࣨሺ Pxଶ୬ିଵ, Qxଶ୬, Qxଶ୬, qt ሻ ≤ max ‫ە‬ ‫۔‬ ‫ۓ‬ ࣨሺ ABxଶ୬ିଵ, Pxଶ୬ିଵ, Qxଶ୬ିଵ, t ሻ, ࣨሺABxଶ୬ିଵ, Pxଶ୬ିଵ, STxଶ୬, t ሻ, ࣨሺ Qxଶ୬ିଵ, STxଶ୬, Pxଶ୬ିଵ, t ሻ, ࣨሺ ABxଶ୬ିଵ, Qxଶ୬ିଵ, STxଶ୬, t ሻ ۙ ۘ ۗ ࣨሺ yଶ୬, yଶ୬ାଵ, yଶ୬ାଵ, qt ሻ ≤ max ‫ە‬ ‫۔‬ ‫ۓ‬ ࣨሺ yଶ୬ିଵ, yଶ୬, yଶ୬, t ሻ, ࣨሺ yଶ୬ିଵ, yଶ୬, yଶ୬, t ሻ, ࣨሺ yଶ୬, yଶ୬, yଶ୬, t ሻ, ࣨሺyଶ୬ିଵ, yଶ୬, yଶ୬, t ሻ ۙ ۘ ۗ ࣨሺ yଶ୬, yଶ୬ାଵ, yଶ୬ାଵ, qtሻ ≤ ࣨሺyଶ୬ିଵ, yଶ୬, yଶ୬, tሻ This implies that ࣨሺ yଶ୬, yଶ୬ାଵ, yଶ୬ାଵ, tሻ is an decreasing sequence of positive real numbers. Now to prove that ℳሺ y୬, y୬ାଵ, y୬ାଵ, tሻ converges to 1 as n → ∞ and ࣨሺ yଶ୬, yଶ୬ାଵ, yଶ୬ାଵ, tሻ converges to 0 as n → ∞. By lemma 2.6,
  • 9. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015 9 ℳሺ y୬, y୬ାଵ, y୬ାଵ, t ሻ ≥ ℳ ൬ y୬ିଵ, y୬, y୬, t q ൰ ≥ ℳ ൬ y୬ିଶ, y୬ିଵ, y୬ିଵ, t qଶ ൰ . . . ≥ ℳሺ y଴, yଵ, yଵ, t q୬ ሻ Thus ℳሺ y୬, y୬ାଵ, y୬ାଵ, t ሻ ≥ ℳ ቀ y଴, yଵ, yଵ, ୲ ୯౤ ቁ and ࣨሺ y୬, y୬ାଵ, y୬ାଵ, t ሻ ≤ ࣨ ൬ y୬ିଵ, y୬, y୬, t q ൰ ≤ ࣨ ൬ y୬ିଶ, y୬ିଵ, y୬ିଵ, t qଶ ൰ . . . ≤ ࣨሺ y଴, yଵ, yଵ, t q୬ ሻ Then by the definition of IFMS, ℳ( yn, yn+p, yn+p, t ) ≥ ℳ( yn, yn+1, yn+1, ୲ ୮ ) ∗… p times …∗ ℳ( yn+p-1, yn+p, yn+p, ୲ ୮ ) ≥ ℳ( y0, y1, y1, ୲ ୯౤ ) ∗… p times …∗ ℳ( y0, y1, y1, ୲ ୮୯౤శ౦షభ ) Thus by the definition of IFMS, ࣨ(yn, yn+p, yn+p, t) ≤ ࣨ( yn, yn+1, yn+1, ୲ ୮ ) ∗… p times …∗ ࣨ( yn+p-1, yn+p-1, yn+p, ୲ ୮ ) ≤ ࣨ( y0, y1, y1, ୲ ୯౤ ) ∗ … p times … ∗ ࣨ( y0, y1, y1, ୲ ୮୯౤శ౦షభ ). lim ୬→∞ ℳ( yn, yn+p, yn+p, t ) ≥ 1 ∗ 1∗… p times …∗ 1. lim ୬→∞ ℳ( yn, yn+p, yn+p, t ) = 1 and lim ୬→∞ ࣨ( yn, yn+p, yn+p, t ) ≤ 0 ∗ 0∗…∗ p times …∗ 0. lim ୬→∞ ࣨ(yn, yn+p, yn+p, t ) = 0. Thus {yn} is a Cauchy sequence in intuitionistic fuzzy metric space X. Since X is complete, there exists a point u∈X such that yn → u. Thus {ABx2n}, {Qx2n-1}, {STx2n-1}, {Px2n-2} are Cauchy sequence converge to u. Put x = ABx2n, y = u, z = STx2n-1 in (iv), we get ℳሺ PABxଶ୬, QSTxଶ୬ିଵ, QSTxଶ୬ିଵ, qt ሻ ≥ min ‫ە‬ ‫۔‬ ‫ۓ‬ ℳሺABABxଶ୬, Pu, Qu, tሻ, ℳሺABABxଶ୬, Pu, STSTxଶ୬ିଵ, t ሻ, ℳሺQu, STSTxଶ୬ିଵ, Pu, tሻ, ℳሺABABxଶ୬, Qu, STSTxଶ୬ିଵ, t ሻ,ۙ ۘ ۗ and ࣨሺ PABxଶ୬, QSTxଶ୬ିଵ, QSTxଶ୬ିଵ, qt ሻ ≤ max ‫ە‬ ‫۔‬ ‫ۓ‬ ࣨሺABABxଶ୬, Pu, Qu, tሻ, ࣨሺABABxଶ୬, Pu, STSTxଶ୬ିଵ, t ሻ, ࣨሺQu, STSTxଶ୬ିଵ, Pu, tሻ, ࣨሺABABxଶ୬, Qu, STSTxଶ୬ିଵ, t ሻ,ۙ ۘ ۗ .
  • 10. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015 10 Now take the limit as n → ∞ and using (ii), we get, ℳሺPu, Qu, Qu, qtሻ ≥ min ൜ ℳሺ Pu, Pu, Qu, tሻ, ℳሺ Pu, Pu, Qu, tሻ ℳሺ Qu, Qu, Pu, tሻ, ℳሺ Pu, Qu, Qu, tሻ ൠ and ࣨሺPu, Qu, Qu, qtሻ ≤ max ൜ ࣨሺ Pu, Pu, Qu, tሻ, ࣨሺ Pu, Pu, Qu, tሻ ࣨሺ Qu, Qu, Pu, tሻ, ࣨሺ Pu, Qu, Qu, tሻ ൠ. Then by lemma 2.6, we get ℳሺPu, Qu, Qu, qtሻ ≥ ℳ ሺPu, Qu, Qu, tሻ and ࣨሺPu, Qu, Qu, qtሻ ≤ ࣨ ሺPu, Qu, Qu, tሻ. Therefore Pu = Qu. Now put x = ABx2n, y = x2n-1, z = x2n-1, in (iv), we get ℳሺ PABxଶ୬, Qxଶ୬ିଵ, Qxଶ୬ିଵ, qt ሻ≥ min ‫ە‬ ‫۔‬ ‫ۓ‬ ℳሺ ABABxଶ୬, Pxଶ୬ିଵ, Qxଶ୬ିଵ, tሻ, ℳሺABABxଶ୬, Pxଶ୬ିଵ, STxଶ୬ିଵ, t ሻ, ℳሺ Qxଶ୬ିଵ, STxଶ୬ିଵ, Pxଶ୬ିଵ, t ሻ, ℳሺABABxଶ୬, Qxଶ୬ିଵ, STxଶ୬ିଵ, t ሻۙ ۘ ۗ and ࣨሺ PABxଶ୬, Qxଶ୬ିଵ, Qxଶ୬ିଵ, qt ሻ ≤ max ‫ە‬ ‫۔‬ ‫ۓ‬ ࣨሺ ABABxଶ୬, Pxଶ୬ିଵ, Qxଶ୬ିଵ, tሻ, ࣨሺABABxଶ୬, Pxଶ୬ିଵ, STxଶ୬ିଵ, t ሻ, ࣨሺ Qxଶ୬ିଵ, STxଶ୬ିଵ, Pxଶ୬ିଵ, t ሻ, ࣨሺABABxଶ୬, Qxଶ୬ିଵ, STxଶ୬ିଵ, t ሻۙ ۘ ۗ Thus we have ℳሺ Pu, u, u, qtሻ ≥ ℳሺ Pu, u, u, tሻ and ࣨሺ Pu, u, u, qtሻ ≥ ࣨሺ Pu, u, u, tሻ. Therefore Pu = u. This implies Pu = Qu = u. Now put x = Px2n-2, y = Px2n-2, z = u in (iv), we get ℳሺPPxଶ୬ିଶ, Qu, Qu, qtሻ ≥ min ‫ە‬ ‫۔‬ ‫ۓ‬ ℳሺ ABPxଶ୬ିଶ, PPxଶ୬ିଶ, QPxଶ୬ିଶ, t ሻ, ℳሺABPxଶ୬ିଶ, PPxଶ୬ିଶ, STu, t ሻ, ℳሺ QPxଶ୬ିଶ, STu, PPxଶ୬ିଶ, t ሻ, ℳሺABPxଶ୬ିଶ, QPxଶ୬ିଶ, STu, t ሻ ۙ ۘ ۗ and
  • 11. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015 11 ࣨሺPPxଶ୬ିଶ, Qu, Qu, qtሻ ≤ max ‫ە‬ ‫۔‬ ‫ۓ‬ ℳሺ ABPxଶ୬ିଶ, PPxଶ୬ିଶ, QPxଶ୬ିଶ, t ሻ, ℳሺABPxଶ୬ିଶ, PPxଶ୬ିଶ, STu, t ሻ, ℳሺ QPxଶ୬ିଶ, STu, PPxଶ୬ିଶ, t ሻ, ℳሺABPxଶ୬ିଶ, QPxଶ୬ିଶ, STu, t ሻ ۙ ۘ ۗ . Now taking the limit as n → ∞ and on using (ii) and (iii), we get ℳሺABu, u, u, qtሻ ≥ min ൜ ℳሺABu, ABu, u, t ሻ, ℳሺABu, ABu, u, t ሻ, ℳሺ Qu, u, ABu, t ሻ, ℳሺABu, Qu, u, t ሻ ൠ ࣨሺABu, u, u, qtሻ ≤ max ൜ ࣨሺABu, ABu, u, t ሻ, ࣨሺABu, ABu, u, t ሻ, ࣨሺ Qu, u, ABu, t ሻ, ࣨሺABu, Qu, u, t ሻ ൠ. This implies ℳሺABu, u, u, qtሻ ≥ min ൜ ℳሺABu, ABu, u, t ሻ, ℳሺABu, ABu, u, t ሻ, ℳሺu, u, ABu, t ሻ, ℳሺABu, u, u, t ሻ ൠ ࣨሺABu, u, u, qtሻ ≤ max ൜ ࣨሺABu, ABu, u, t ሻ, ࣨሺABu, ABu, u, t ሻ, ࣨሺu, u, ABu, t ሻ, ࣨሺABu, u, u, t ሻ ൠ . Therefore by lemma (2.6) we have ABu = u. Thus Pu = Qu = ABu = u. Put x = u, y = u, z = Qx2n-1, in (iv) we get ℳሺPu, QQxଶ୬ିଵ, QQxଶ୬ିଵ, qt ሻ ≥ min ൜ ℳሺu, u, u, t ሻ, ℳሺ u, u, STu, t ሻ, ℳሺu, STu, u, t ሻ, ℳሺ u, u, , STu, t ሻ ൠ ࣨሺPu, QQxଶ୬ିଵ, QQxଶ୬ିଵ, qt ሻ ≤ max ൜ ࣨሺu, u, u, t ሻ, ࣨሺ u, u, STu, t ሻ, ࣨሺu, STu, u, t ሻ, ࣨሺ u, u, , STu, t ሻ ൠ, On using lemma, (2.6) we have ℳሺSTu, STu, u, qt ሻ ≥ ℳሺ STu, STu, u, t ሻ and ℳሺSTu, STu, u, qt ሻ ≥ ℳሺ STu, STu, u, t ሻ ࣨ(STu, STu, u, qt ) ≤ ࣨ( STu, STu, u, t ). Thus STu = u. We get Pu = Qu = ABu = STu = u. Uniqueness Let w be another common fixed point of A, B, P, Q, S and T. Then ℳሺ Pu, Qw, Qw, qt ሻ ≥ min ൜ ℳሺABu, Pw, Qw, t ሻ, ℳሺ ABu, Pw, STw, t ሻ, ℳሺ Qw, STw, Pw, t ሻ, ℳሺ ABu, Qw, STw, t ሻ ൠ
  • 12. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015 12 ℳሺ u, w, w, qt ሻ ≥ min ൜ ℳሺ u, w, w, t ሻ, ℳሺ u, w, w, t ሻ, ℳሺ w, w, w, t ሻ, ℳሺ u, w, w, t ሻ ൠ ℳሺ u, w, w, qt ሻ ≥ ℳሺ u, w, w, t ሻ and ࣨሺ Pu, Qw, Qw, qt ሻ ≤ max ൜ ࣨሺABu, Pw, Qw, t ሻ, ࣨ ሺ ABu, Pw, STw, t ሻ, ࣨሺ Qw, STw, Pw, t ሻ, ࣨሺ ABu, Qw, STw, t ሻ ൠ ࣨሺ u, w, w, qt ሻ ≤ max ൜ ࣨሺ u, w, w, t ሻ, ࣨሺ u, w, w, t ሻ, ࣨሺ w, w, w, t ሻ, ࣨሺ u, w, w, t ሻ ൠ ࣨሺ u, w, w, qt ሻ ≤ ࣨሺ u, w, w, t ሻ, which is a contradiction. Therefore u = w. Hence the common fixed point is unique. Corollary 4.2 Let (X, ℳ, ࣨ, ∗,◊) be a complete generalized intuitionistic fuzzy metric space and let A, P,Q and S be self mappings of X satisfying the following conditions. (i) P(X) ⊆ S(X), Q(X) ⊆ A(X) (ii) The pair (P,A) and (Q,S) are compatible mappings of type (P) (iii) S is continuous (iv) ℳ( Px, Qz, Qz, qt ) ≥ min { ℳ( Ax, Py, Qy, t ), ℳ( Ax, Py, Sz, t ), ℳ( Qy, Sz, Py, t ), ℳ( Ax, Qy, Sz, t )} and ࣨ( Px, Qz, Qz, qt ) ≤ max {ࣨ( Ax, Py, Qy, t ), ࣨ( Ax, Py, Sz, t ), ࣨ( Qy, Sz, Py, t ), ࣨ( Ax, Qy, Sz, t )}. Then the mappings P, Q, A and S have a unique common fixed point in X. Corollary 4.3 Let (X, ℳ, ࣨ, ∗,◊) be a complete generalized intuitionistic fuzzy metric space and let B,P,Q and T be self mappings of X satisfying the conditions (i), (ii), (iii), & (iv) with S = I and A = I; Then the mappings B, P,Q and T have a unique common fixed point. Corollary 4.4 Let ( X, ℳ, ࣨ, ∗, ◊ ) be a complete generalized intuitionistic fuzzy metric space and let A,B,P,Q,S and T be self mappings of X satisfying the following conditions: (i) P(X) ⊆ ST(X), Q(X) ⊆ AB(X) (ii) The pair (P, AB) and (Q, ST) are compatible mappings of type (P) (iii) ST is continuous (iv) ℳ( Px, Qz, Qz, qt) ≥ ℳ( ABx, Py, Qy, t) ∗ ℳ(ABx, Py, STz, t) ∗ ℳ( Qy, STz, Py, t) ∗ ℳ(ABx,Qy,STz,t) and ࣨ( Px, Qz, Qz, qt) ≤ ࣨ( ABx, Py, Qy, t) ◊ ࣨ( ABx, Py, STz, t) ◊ ࣨ( Qy, STz, Py, t) ◊ ࣨ( ABx, Qy, STz, t) Then the mappings P,Q,AB and ST have a unique common fixed point in X.
  • 13. Applied Mathematics and Sciences: An International Journal (MathSJ ), Vol. 2, No. 3, September 2015 13 REFERENCES 1) Atanassov. K, Intuionistic fuzzy set and system, 29, (1986),87. 2) Banach. S, Theoric les operations linearires manograie, Mathmatyezne Warsaw, Poland, (1932) 3) Cho Y J, Pathak H K, Kang S M & Jang J S, Common fixed points of compatible maps of type (b) of fuzzy metric spaces, fuzzy sets and systems 93, (1998) 99. 4) Choudhary B S, A unique common fixed point theorem for sequence of self maps in menger spaces, Bull. Korean math, Soc. 37 (2000). No. 3 5) Dahe, B.C ,Generalized metric spaces with fixed point, Bull.Calcutta Math.Soc.,84(4)(1992),107-113. 6) Deng Z K, Fuzzy pseudo- metric spaces, J. Math. Anal , Appl. 86 (1982) 74. 7) Fang J X, On fixed point theorems in fuzzy metric spaces, fuzzy sets and systems, 46,(1992) 107. 8) George A & Veeramani P, On some results in fuzzy metric spaces, fuzzy sets and systems 64, (1994) 395 - 399. 9) Grabiec M, Fixed points in fuzzy metric spaces, fuzzy sets and systems, 27(1988)385-389. 10) Gregori, VRomaguera. S. and Veereamani, P., A Note on Intuitionistic Fuzzy Metric Spaces, Chaos, Solitons and Fractals, vol.28, (2006) 902 – 905. 11) Jungck, commuting mappings and fixed points, Amer. Math. Monthly, 83 (1976),261. 12) Kaleva O , Seikkala, S, On fuzzy metric spaces, Fuzzy sets and system, (1962) 122. 13) Kramosil I & Michalek J, Fuzzy metric and statistical metric spaces, kyberntika Appl. 50, (1985)142. 14) Mishra S N, Sharma N & Singh S I, common fixed point of maps on fuzzy metric spaces, Inter. J.Math. Sci. 17, (1994) 253. 15) Muthuraj. R, Pandiselvi .R, Common Fixed Point Theorems for compatible mappings of type (P-1) and type (P-2) in M- fuzzy metric spaces, Arab journal of mathematics & mathematical science, Volume 3, No. 1-10(2013). 16) Park J H, Kwun Y C, & Park J H, A fixed point theorem in the intuitionistic fuzzy metric spaces, far east J. Math. Sci. 16 (2005), 137-149. 17) Pathak H.K and M.S.Khan, A comparison of various types of Compatible maps and common fixed points, Indian J. Pure .appl.Math. 28(4).477-485 April 1977. 18) Surjith Singh Chauhan, Common Fixed Point Theorem for Two Pairs of Weakly Compatible Mappings in M -fuzzy Metric Spaces, Int.Journal of Math.Analysis, Vol.3, 2009, no.8,393-398. 19) S.Sedghi and N.Shobe, Fixed point theorem in M -fuzzy metric spaces with property (E), Advances in fuzzy Mathematics, 1(1) (2006), 55-65. 20) Surjeet singh chauhan & Kiran utreja 2012, Common Fixed Point Theorem on M-fuzzy metric space using the concept of compatibility of type (P), Research Journal of Pure Algebra , 2(11), 2012, 350- 354 21) Turkoglu D, Altun I & Cho Y J, Common fixed points of compatible mappings of type (I) and type (II) in fuzzy metric spaces, J. fuzzy math. 15(2007), 435. 22) Turkoglu D, Alaca C, Cho Y J & Yildiz C, common fixed point theorems in intuitionistic fuzzy metric Spaces, J. Appl, Math, and computing 22(2006), 41. 23) Zadeh L A, Fuzzy sets, inform, and control 8 (1965) 338.] Authors Dr.R.Muthuraj received his Ph.D degree in Mathematics from Alagappa University Karaikudi, Tamil nadu, India in April 2010. Presently he is an Assistant Professor , PG & Research Department of Mathematics, H.H.The Rajah’s College, Pudukkottai 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, Fixed point theory and Fuzzy Graph Theory. R. Pandiselvi received her M.Phil degree from School of Mathematics, Madurai Kamaraj University, Madurai, Tamilnadu, India. Now she is doing Ph.D at Bharathidasan University Tiruchirappalli,Tamilnadu, India. Presently she is working as an Associate Professor in Mathematics , The Madura college, Madurai, Tamilnadu, India. She has published over 10 papers in reputed National and International journals. Her research area is Fixed Point Theory.