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International journal of scientific and technical research in engineering (IJSTRE)
www.ijstre.com Volume 1 Issue 4 ǁ July 2016.
Manuscript id. 371428248 www.ijstre.com Page 47
FUZZY ROUGH CONNECTED SPACES
S.Anita Shanthi1
, R.Poovizhi1
1
(Department of Mathematics, Annamalai University,Tamilnadu, India)
shanthi.anita@yahoo.com
ABSTRACT : In this paper we introduce the concept of connectedness in fuzzy rough topological spaces.
We also investigate some properties of connectedness in fuzzy rough topological spaces.
KEYWORDS - Fuzzy rough open and closed sets, fuzzy rough subspace, fuzzy rough closure, fuzzy rough
connected space.
I. INTRODUCTION
The theory of rough sets was proposed by Pawlak [1,2]. It is an extension of set theory for the study of systems
characterized by insufficient and incomplete informations. A key notion in Pawlak rough set model is
equivalence relation. The equivalence classes form the building blocks for the construction of lower and upper
approximations. Replacing the equivalence relation by an arbitrary binary relation, different kinds of
generalizations in Pawlak rough set models were obtained. In [3,4,5], the concept of fuzzy rough sets were
studied by replacing crisp binary relations with fuzzy relations on the universe. Yong Chan Kim [6] introduced
the separation axioms of fuzzy topological spaces using R- fuzzy semi-open (closed) sets.
Keyun Qin and Pei [7] discussed the relationship between fuzzy rough set models and fuzzy topologies on a
finite universe. Mathew and John [8] developed general topological structures on rough sets. Lellis Thivagar et
al. [9] introduced a new topology called rough topology In terms of rough sets and showed that rough topology
can be used to analyze many real life problems. Samanta et al. [10] defined fuzzy rough relation on a set and
proved that the collection of such relations is closed under different binary compositions such as algebraic sum,
algebraic product, etc. Fatima et al. [11] introduced totally continuous functions and totally semi continuous
functions in double fuzzy topological spaces and investigated some of their characterizations.
In this paper we introduce the concept of connectedness in fuzzy rough topological spaces. We also investigate
some properties of connectedness in fuzzy rough topological spaces.
II. PRELIMINARIES
In this section we recall some useful definitions and results.
Notation. Throughout this paper U denotes a non-empty finite universe and ( )F U denotes the set of all fuzzy
subsets of U .
Definition 2.1. [12] A fuzzy subset A of the universe U is characterized by a membership function
:A U [0,1].
Definition 2.2. [12] A fuzzy relation R on A is said to be reflexive if and only if  xU,   0A x  and
 , 1.R x x 
Definition 2.3 [12] A fuzzy relation R on A is said to be symmetric if and only if
 ,y , ,R Rx y x x y U    .
Fuzzy Rough Connected Space
Manuscript id. 371428248 www.ijstre.com Page 48
Definition 2.4 [12] A fuzzy relation R on A is said to be transitive if and only if
   ,z max min ,y , , .R R R
y U
x x y z  


Definition 2.5 [12] A fuzzy relation that is reflexive, symmetric and transitive is called a fuzzy equivalence
relation.
Definition 2.6 [3] Let U be a nonempty and finite universe of discourse , and FR be a fuzzy equivalence
relation defined on .U U The pair  ,U FR is called a fuzzy approximation space. For any  A F U ,
the upper and lower approximations of A with  FR A respect to  ,U FR , denoted by  FR A and
 FR A are two fuzzy sets defined as:
       
       
, | x U ,
, | x U .
FR A
FR A
FR A x x
FR A x x


 
 
where
         1 , ,x U,R AFR A u U
x x u U  

    
        , ,x U.R AFR A u U
x x u U  

   
The pair       ,FR A FR A FR A is called the fuzzy rough set of A with respect to  ,U FR
Definition 2.7 Let  FR A and  FR B be two fuzzy rough sets.  FR A is said to be a fuzzy rough subset
of  FR B denoted by  FR A  FR B if        FR A FR B
x x  and
       , .FR A FR B
x x x U  
Definition 2.8. [7] Let U be the universe , .X U R be an equivalence relation on U and
    , , , .R U R X R X  R satisfies the following axioms:
1. U and .R 
2. Union of the elements of any sub collection of R is in .R
3. Intersection of the elements of any finite sub collection of R is in .R
R forms a topology on U called as a rough topology on U with respect to .X We call  , , RU X 
as a rough topological space.
Definition 2.9. [10] For , ,X
I   is called quasi coincident with , denoted by q  if there exists
x X such that     1.x x   Otherwise it is denoted by .q 
Definition 2.10. [11] For x X and 0 (0,1],t I  a fuzzy point is defined by
( )tx y 
if ,
0 if .
t y x
y x





X
tx I  if and only if ( ).t x
Fuzzy Rough Connected Space
Manuscript id. 371428248 www.ijstre.com Page 49
III. FUZZY ROUGH CONNECTED SPACES
In this section we define fuzzy rough connected spaces and also investigate some properties of these
spaces.
Definition 3.1. Let U be the universe and .A U FR be a fuzzy equivalence relation on U and
    , ,F ,F .U R A R A   satisfies the following axioms:
1. U and . 
2. The union of the elements of any sub collection of  is in .
3. The intersection of the elements of any finite sub collection of  is in .
 forms a topology called the rough topology on U with respect to A and   ,FR ,U A  is
called as the fuzzy rough topological space.
Definition 3.2. If  is a fuzzy rough topology on U , then any member of  is called fuzzy rough set in U .
Definition 3.3. The complement of a fuzzy rough open set A is called a fuzzy rough closed set and is denoted
by  
c
FR A   .
Definition 3.4. The fuzzy rough set  FR A over U is called a fuzzy rough point in U denoted by  xFR A ,
if for the element        '
, , 0FR A FR A
x U x o x      '
x U x  .
Definition 3.5. A fuzzy rough set  FR E in a fuzzy rough topological space   , ,U FR A  is called a
fuzzy rough neighborhood of the fuzzy rough point  xFR P for some x U , if there is a fuzzy rough open
set  FR D such that      xFR P FR D FR E  .
Definition 3.6. Let   , ,U FR A  be a fuzzy rough topological space and  FR A be a fuzzy rough set over
U . The fuzzy rough closure of  FR A is defined as the intersection of all fuzzy rough closed sets which
contain  FR A and is denoted by  FR A . i.e.  FR A    :FR B FR B  is fuzzy rough closed set
and    .FR A FR B
Definition 3.7. A fuzzy rough point  xFR P is said to belong to a fuzzy rough set  FR B denoted by
 xFR P  FR B if      FR B
xFR P x ,  .x U
Definition 3.8. Two fuzzy rough sets  FR A and  FR B are said to be quasi coincident denoted by
   FR A qFR B if there exists x U          1.FR A FR B
x x   Otherwise    ,FR A qFR B in
which case         1,FR A FR B
x x    .x U
Fuzzy Rough Connected Space
Manuscript id. 371428248 www.ijstre.com Page 50
Definition 3.9. Let   , ,U FR A  be a fuzzy rough topological space and    .SFR B FR A Then the
fuzzy rough topology         |S SFR B
FR B FR C FR C    is called fuzzy rough subspace topology
and     , SS FR B
FR B  is called fuzzy rough subspace of   , , .U FR A 
Definition 3.10. Let 1 and 2
 be two fuzzy rough topologies on  , .U FR 1 is said to be coarser than 2 , if
1 2  and in this case 2 is said to be finer than 1. If either 1 2  or 2 1,  then the topologies 1 and
2 are said to be comparable. If 1 2  and 2 1,  then the topologies 1 and 2 are not comparable.
Definition 3.11. A fuzzy rough topological space is said to be separated if there exists a fuzzy rough open sets
   ,FR A FR B such that    ,FR A qFR B i.e.         1FR A FR B
x x    .x U
If there does not exist a fuzzy rough separation of ,U then the fuzzy rough topological space is said to be fuzzy
rough connected.
Definition 3.12. Consider  1 2 3 4 5, , , , ,U x x x x x
          1 2 3 4 5,0.8 , ,0.9 , ,0.95 , ,0.96 , ,0.98A x x x x x and
1 0.92 0.96 0.98 1
0.92 1 0.85 0.8 0.75
0.96 0.85 1 0.76 0.6
0.98 0.8 0.76 1 0.5
1 0.75 0.6 0.5 1
FR
 
 
 
 
 
 
 
 
Now,
 ( ) ( ) (1 ( , )) ( )FR A FR A
u U
x x u u  

   and
( )
( ) [ ( , ) ( )]FR AFR A
u U
x x u u  

 
The lower approximations are
( ) 1( ) 0.8,FR A x  ( ) 2( ) 0.8,FR A x  ( ) 3( ) 0.8,FR A x  ( ) 4( ) 0.8,FR A x  ( ) 5( ) 0.8.FR A x 
1 2 3 4 5( ) { / 0.8, / 0.8, / 0.8, / 0.8, / 0.8}.FR A x x x x x
The upper approximations are
1( )
( ) 0.98,FR A
x  2( )
( ) 0.9,FR A
x  3( )
( ) 0.95,FR A
x 
4( )
( ) 0.96,FR A
x  5( )
( ) 0.98.FR A
x 
1 2 3 4 5( ) { / 0.98, / 0.9, / 0.95, / 0.96, / 0.98}.FR A x x x x x
Consider,
1 2 3 4 5{ , , , , },U x x x x x 1 2 3 4 5{( ,0.4),( ,0.3),( ,0.6),( ,0.5),( ,0.45)}B x x x x x
Fuzzy Rough Connected Space
Manuscript id. 371428248 www.ijstre.com Page 51
and
1 0.4 0.6 0.7 0.75
0.4 1 0.5 0.35 0.75
0.6 0.5 1 0.8 0.65
0.7 0.35 0.8 1 0.55
0.75 0.75 0.65 0.55 1
FR
 
 
 
 
 
 
 
 
The lower approximations are
( ) 1( ) 0.4,FR B x  ( ) 2( ) 0.3,FR B x  ( ) 3( ) 0.4,FR B x  ( ) 4( ) 0.4,FR B x  ( ) 5( ) 0.3.FR B x 
1 2 3 4 5( ) { / 0.4, / 0.3, / 0.4, / 0.4, / 0.3}.FR B x x x x x
The upper approximations are
1( )
( ) 0.6,FR B
x  2( )
( ) 0.45,FR B
x  3( )
( ) 0.6,FR B
x  4( )
( ) 0.6,FR B
x  5( )
( ) 0.6.FR B
x 
1 2 3 4 5( ) { / 0.6, / 0.45, / 0.6, / 0.6, / 0.6}.FR B x x x x x
( ) 1 ( ) 1( ) ( ) 1.2 1FR A FR Bx x   
1 1( ) ( )
( ) ( ) 1.58 1.FR A FR B
x x   
Similarly, other values can be found.
Clearly ( , ( ), )U FR A  is fuzzy rough connected.
Theorem:3.13. A fuzzy rough topological space ( , ( ), )U FR A  is fuzzy rough separated if and only if there
exists a non empty proper fuzzy rough subset of ( )FR A which is both fuzzy rough open and fuzzy rough
closed.
Proof. Let ( )sFR B be a non empty proper fuzzy rough subset of ( )FR A which is both fuzzy rough open and
fuzzy rough closed. Now ( ) [ ( )]c
s sFR H FR B is a non empty proper fuzzy rough subset of ( )FR A which
is also both fuzzy rough open and fuzzy rough closed.
( ) ( )s sFR B FR B  and ( ) ( )s sFR H FR H
( )FR A can be expressed as the union of two fuzzy rough sets ( ), ( )s sFR B FR H
Such that ( ) ( )s sFR B qFR H
( , ( ), )U FR A  is fuzzy rough separated.
Conversely, let ( , ( ), )U FR A  be fuzzy rough separated.
  non empty fuzzy rough subsets ( )sFR B and ( ) ( ) ( )s s sFR H FR B qFR H and
( ) ( ).s sFR B qFR H Now, ( ) ( )s sFR B FR B and ( ) ( ).s sFR B qFR H
Fuzzy Rough Connected Space
Manuscript id. 371428248 www.ijstre.com Page 52
( ) ( )s sFR B qFR H
( ) [ ( )] .c
s sFR H FR B  Also, ( ) ( )s sFR B qFR H
( ) [ ( )] .c
s sFR B FR H 
Similarly ( ) [ ( )]c
s sFR H FR B .
Hence ( ), ( )s sFR B FR H are fuzzy rough open sets being the complements of fuzzy rough closed sets. Also
( ) [ ( )]c
s sFR H FR B
( )sFR H is fuzzy rough closed.
Theorem 3.14. If the fuzzy rough sets ( )FR A and ( )FR B form a fuzzy rough separation of U and if
( )( ( ), )ss FR BFR B  is a fuzzy rough connected subspace of ( , ( ), )U FR A  then ( ) ( )sFR B FR A or
( ) ( ).sFR B FR B
Proof. Suppose ( )sFR B is neither contained in ( )FR A nor in ( ).FR B Since ( )FR A and ( )FR B form a
fuzzy rough separation of ,U ( ) ( )sFR A qFR B and ( ) ( ).sFR B qFR B
( )( ( ), )ss FR BFR B  is a fuzzy rough subspace of ( , ( ), ).U FR A  ( ) ( )sFR A FR B and
( ) ( )sFR B FR B are both open in ( ).F sR B ( )FR A and ( )FR B are fuzzy rough open sets
( ) ( ).FR A qFR B
Consider, ( ( ) ( )) ( ( ) ( ))s sFR A FR B FR B FR B  
( ( ) ( )) ( ) ( ) ( ),sFR A FR B FR B FR A FR B    
where ( ) ( )FR A qFR B ( ( ) ( )) ( ( ) ( )).s sFR A FR B q FR B FR B  
Hence ( ( ), ( ))s F sFR B R B is separated, a contradiction. Therefore ( ) ( )sFR B FR A or
( ) ( ).sFR B FR B
Theorem.3.15. Let ( )( ( ), )ss FR BFR B  be a fuzzy rough connected subspace of ( , ( ), ).U FR A  If
( ) ( ) ( )s sFR B FR A FR B 
, then ( )FR A is also fuzzy rough connected.
Proof. Let ( )FR A be connected and ( ) ( ) ( )s sFR B FR A FR B  . Suppose not, then ( )FR A is
separated. Therefore  fuzzy rough open sets ( )FR B and ( ) ( ) ( ).FR C FR B qFR C Then
( ) ( )sFR B FR B or ( ) ( ).sFR B FR C If, ( ) ( ),sFR B FR B then
( ) ( ).sFR B FR B Since ( ) ( ), ( )sFR B qFR C FR B cannot intersect ( ).FR C This contradicts the fact that
( )FR C is nonempty. Hence ( )FR A is connected.
Fuzzy Rough Connected Space
Manuscript id. 371428248 www.ijstre.com Page 53
Remark. In particular if ( )sFR B is fuzzy rough connected then ( )sFR B is fuzzy rough connected.
Theorem 3.16. Arbitrary union of fuzzy rough connected subspaces of ( , ( ), )U FR A  that have nonempty
intersection is fuzzy rough connected.
Proof. Let )
({ ( ), | }ss FR BFR B  
   be a collection of fuzzy rough connected subspaces of ( , ( ), )U FR A 
with nonempty intersection. To prove that ( )sFR B 
 is connected. Suppose not, then ( )sFR B 
 is
separated. Therefore  non empty disjoint fuzzy rough open sets ( )FR A and ( ) ( ) ( )sFR B FR A qFR B 

and ( ) ( ),sFR B qFR B 
for each  in the subspace. As ( )sFR B 
is connected for each , one of
( ) ( )sFR A qFR B 
and ( ) ( ).sFR B qFR B 
Suppose ( ) ( )sFR A qFR B 
( ) ( ) ( )s sFR B FR B FR B 
  
( ) ( )sFR B FR B
   
( ) ( ).sFR B FR B

 
( ) ( ) ( ).FR A FR B FR B  
( )FR A is empty, a contradiction.
Theorem.3.17. Arbitrary union of family of fuzzy rough connected subsets of ( , ( ), )U FR A  such that one of
the members of the family has nonempty intersection with every member of the family, is fuzzy rough
connected.
Proof. Let )
({ ( ), | }ss FR BFR B  
   be a collection of fuzzy rough connected subspaces of ( , ( ), )U FR A 
and 0
( )SFR B 
be a fixed member such that 0
( ) ( )S sFR B qFR B 
for each .  Then by Theorem 3.16,
0
( ) ( ) ( )S sFR A FR B FR B    is fuzzy rough connected for each .  Now,
0
( ) ( ( ) ( )) ( )S s sFR A FR B FR B FR B  
      
     and
0
( ) ( ( ) ( ))S sFR A FR B FR B 
    
   0 0
( ) ( ( )) .s sFR B FR B 



  
( )FR A is fuzzy rough connected.
Theorem. 3.18. If 1( , ( ), )U FR A  is a fuzzy rough connected space and 2 is fuzzy rough coarser than 1,
then 2( , ( ), )U FR A  is also fuzzy rough connected.
Fuzzy Rough Connected Space
Manuscript id. 371428248 www.ijstre.com Page 54
Proof. Assume that ( ), ( )FR B FR C form a fuzzy rough separation of 2( , ( ), ).U FR A 
2 1( ), ( ) , ( ), ( )FR B FR C FR B FR C   
( ), ( )FR B FR C form a fuzzy rough separation of 1( , ( ), ),U FR A  a contradiction.
Therefore 2( , ( ), )U FR A  is fuzzy rough connected.
IV. CONCLUSION
The notion of fuzzy rough connectedness captures the idea of “hanging-togetherness” of image
elements in an object by assigning a strength of connectedness to every possible path between every possible
pair of image elements. Fuzzy rough connectedness is a very useful topological property for a space to possess.
Measures of fuzzy rough connectedness can be applied in image segmentation and network literature. The
concept of fuzzy rough connectedness can be extended to fuzzy soft rough connectedness.
V. Acknowledgement
The third author is thankful to the University Grant Commission, New Delhi-110021, India, for providing BSR fellowship under grant #
F.25-1/2014-15(BSR)/7-254/2009(BSR)dated 20.01.2015.
REFERENCES
[1] Z.Pawlak, Rough sets, International Journal of computer and Information sciences, 11 (1982), 341-356.
[2] Z.Pawlak, Rough Sets: Theoretical Aspects of Reasoning About Data, Kluwer Academic Publishers, Boston, 1991.
[3] D.Dubois, H.Prade, Rough fuzzy set and fuzzy rough sets, Internat. J. Gen. Systems, 17 (1990), 191-209.
[4] D.Dubois, H.Prade, Putting fuzzy sets and rough sets together, Intelligent Decision Support, Kluwer Academic, Dordrecht,
1992, 203-232.
[5] S.Nanda, Fuzzy rough sets, Fuzzy Sets and Systems, 45 (1992), 157-160.
[6] Yong Chan Kim and S.E.Abbas, Separations based on R-fuzzy Semi-open sets, Int. J of Fuzzy Mathematics,15 (2007), 53-68.
[7] Keyun Qin and Zheng Pei, On the topological properties of fuzzy rough sets, Fuzzy Sets and Systems, 151 (2005), 601-613.
[8] Boby P.Mathew and Sunil Jacob John, On rough topological spaces, International Journal of Mathematical Archive, 3 (9)
(2012), 3413-3421.
[9] M.Lellis Thivagar, Carmel Richard and Nirmala Rebecca Paul, Mathematical Innovations of a Modern Topology in Medical
Events, International Journal of Information science, 2(4) (2012), 33-36.
[10] T.K.Samanta and Biswajit Sarkar, Fuzzy rough relations, arxiv:1109.1803, 1 (2011), 10-17.
[11] Fatimah M Mohammed, M.S.M Noorani, A.Ghareeb, it Several types of totally continuous functions in double fuzzy topological
spaces, Advances in fuzzy systems, 2014, 361-398.
[12] George J.Klir, Tina A.Folger, Fuzzy sets, Uncertainty and information, Prentice Hall of India, (2005).

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FUZZY ROUGH CONNECTED SPACES

  • 1. International journal of scientific and technical research in engineering (IJSTRE) www.ijstre.com Volume 1 Issue 4 ǁ July 2016. Manuscript id. 371428248 www.ijstre.com Page 47 FUZZY ROUGH CONNECTED SPACES S.Anita Shanthi1 , R.Poovizhi1 1 (Department of Mathematics, Annamalai University,Tamilnadu, India) shanthi.anita@yahoo.com ABSTRACT : In this paper we introduce the concept of connectedness in fuzzy rough topological spaces. We also investigate some properties of connectedness in fuzzy rough topological spaces. KEYWORDS - Fuzzy rough open and closed sets, fuzzy rough subspace, fuzzy rough closure, fuzzy rough connected space. I. INTRODUCTION The theory of rough sets was proposed by Pawlak [1,2]. It is an extension of set theory for the study of systems characterized by insufficient and incomplete informations. A key notion in Pawlak rough set model is equivalence relation. The equivalence classes form the building blocks for the construction of lower and upper approximations. Replacing the equivalence relation by an arbitrary binary relation, different kinds of generalizations in Pawlak rough set models were obtained. In [3,4,5], the concept of fuzzy rough sets were studied by replacing crisp binary relations with fuzzy relations on the universe. Yong Chan Kim [6] introduced the separation axioms of fuzzy topological spaces using R- fuzzy semi-open (closed) sets. Keyun Qin and Pei [7] discussed the relationship between fuzzy rough set models and fuzzy topologies on a finite universe. Mathew and John [8] developed general topological structures on rough sets. Lellis Thivagar et al. [9] introduced a new topology called rough topology In terms of rough sets and showed that rough topology can be used to analyze many real life problems. Samanta et al. [10] defined fuzzy rough relation on a set and proved that the collection of such relations is closed under different binary compositions such as algebraic sum, algebraic product, etc. Fatima et al. [11] introduced totally continuous functions and totally semi continuous functions in double fuzzy topological spaces and investigated some of their characterizations. In this paper we introduce the concept of connectedness in fuzzy rough topological spaces. We also investigate some properties of connectedness in fuzzy rough topological spaces. II. PRELIMINARIES In this section we recall some useful definitions and results. Notation. Throughout this paper U denotes a non-empty finite universe and ( )F U denotes the set of all fuzzy subsets of U . Definition 2.1. [12] A fuzzy subset A of the universe U is characterized by a membership function :A U [0,1]. Definition 2.2. [12] A fuzzy relation R on A is said to be reflexive if and only if  xU,   0A x  and  , 1.R x x  Definition 2.3 [12] A fuzzy relation R on A is said to be symmetric if and only if  ,y , ,R Rx y x x y U    .
  • 2. Fuzzy Rough Connected Space Manuscript id. 371428248 www.ijstre.com Page 48 Definition 2.4 [12] A fuzzy relation R on A is said to be transitive if and only if    ,z max min ,y , , .R R R y U x x y z     Definition 2.5 [12] A fuzzy relation that is reflexive, symmetric and transitive is called a fuzzy equivalence relation. Definition 2.6 [3] Let U be a nonempty and finite universe of discourse , and FR be a fuzzy equivalence relation defined on .U U The pair  ,U FR is called a fuzzy approximation space. For any  A F U , the upper and lower approximations of A with  FR A respect to  ,U FR , denoted by  FR A and  FR A are two fuzzy sets defined as:                 , | x U , , | x U . FR A FR A FR A x x FR A x x       where          1 , ,x U,R AFR A u U x x u U                 , ,x U.R AFR A u U x x u U        The pair       ,FR A FR A FR A is called the fuzzy rough set of A with respect to  ,U FR Definition 2.7 Let  FR A and  FR B be two fuzzy rough sets.  FR A is said to be a fuzzy rough subset of  FR B denoted by  FR A  FR B if        FR A FR B x x  and        , .FR A FR B x x x U   Definition 2.8. [7] Let U be the universe , .X U R be an equivalence relation on U and     , , , .R U R X R X  R satisfies the following axioms: 1. U and .R  2. Union of the elements of any sub collection of R is in .R 3. Intersection of the elements of any finite sub collection of R is in .R R forms a topology on U called as a rough topology on U with respect to .X We call  , , RU X  as a rough topological space. Definition 2.9. [10] For , ,X I   is called quasi coincident with , denoted by q  if there exists x X such that     1.x x   Otherwise it is denoted by .q  Definition 2.10. [11] For x X and 0 (0,1],t I  a fuzzy point is defined by ( )tx y  if , 0 if . t y x y x      X tx I  if and only if ( ).t x
  • 3. Fuzzy Rough Connected Space Manuscript id. 371428248 www.ijstre.com Page 49 III. FUZZY ROUGH CONNECTED SPACES In this section we define fuzzy rough connected spaces and also investigate some properties of these spaces. Definition 3.1. Let U be the universe and .A U FR be a fuzzy equivalence relation on U and     , ,F ,F .U R A R A   satisfies the following axioms: 1. U and .  2. The union of the elements of any sub collection of  is in . 3. The intersection of the elements of any finite sub collection of  is in .  forms a topology called the rough topology on U with respect to A and   ,FR ,U A  is called as the fuzzy rough topological space. Definition 3.2. If  is a fuzzy rough topology on U , then any member of  is called fuzzy rough set in U . Definition 3.3. The complement of a fuzzy rough open set A is called a fuzzy rough closed set and is denoted by   c FR A   . Definition 3.4. The fuzzy rough set  FR A over U is called a fuzzy rough point in U denoted by  xFR A , if for the element        ' , , 0FR A FR A x U x o x      ' x U x  . Definition 3.5. A fuzzy rough set  FR E in a fuzzy rough topological space   , ,U FR A  is called a fuzzy rough neighborhood of the fuzzy rough point  xFR P for some x U , if there is a fuzzy rough open set  FR D such that      xFR P FR D FR E  . Definition 3.6. Let   , ,U FR A  be a fuzzy rough topological space and  FR A be a fuzzy rough set over U . The fuzzy rough closure of  FR A is defined as the intersection of all fuzzy rough closed sets which contain  FR A and is denoted by  FR A . i.e.  FR A    :FR B FR B  is fuzzy rough closed set and    .FR A FR B Definition 3.7. A fuzzy rough point  xFR P is said to belong to a fuzzy rough set  FR B denoted by  xFR P  FR B if      FR B xFR P x ,  .x U Definition 3.8. Two fuzzy rough sets  FR A and  FR B are said to be quasi coincident denoted by    FR A qFR B if there exists x U          1.FR A FR B x x   Otherwise    ,FR A qFR B in which case         1,FR A FR B x x    .x U
  • 4. Fuzzy Rough Connected Space Manuscript id. 371428248 www.ijstre.com Page 50 Definition 3.9. Let   , ,U FR A  be a fuzzy rough topological space and    .SFR B FR A Then the fuzzy rough topology         |S SFR B FR B FR C FR C    is called fuzzy rough subspace topology and     , SS FR B FR B  is called fuzzy rough subspace of   , , .U FR A  Definition 3.10. Let 1 and 2  be two fuzzy rough topologies on  , .U FR 1 is said to be coarser than 2 , if 1 2  and in this case 2 is said to be finer than 1. If either 1 2  or 2 1,  then the topologies 1 and 2 are said to be comparable. If 1 2  and 2 1,  then the topologies 1 and 2 are not comparable. Definition 3.11. A fuzzy rough topological space is said to be separated if there exists a fuzzy rough open sets    ,FR A FR B such that    ,FR A qFR B i.e.         1FR A FR B x x    .x U If there does not exist a fuzzy rough separation of ,U then the fuzzy rough topological space is said to be fuzzy rough connected. Definition 3.12. Consider  1 2 3 4 5, , , , ,U x x x x x           1 2 3 4 5,0.8 , ,0.9 , ,0.95 , ,0.96 , ,0.98A x x x x x and 1 0.92 0.96 0.98 1 0.92 1 0.85 0.8 0.75 0.96 0.85 1 0.76 0.6 0.98 0.8 0.76 1 0.5 1 0.75 0.6 0.5 1 FR                 Now,  ( ) ( ) (1 ( , )) ( )FR A FR A u U x x u u       and ( ) ( ) [ ( , ) ( )]FR AFR A u U x x u u      The lower approximations are ( ) 1( ) 0.8,FR A x  ( ) 2( ) 0.8,FR A x  ( ) 3( ) 0.8,FR A x  ( ) 4( ) 0.8,FR A x  ( ) 5( ) 0.8.FR A x  1 2 3 4 5( ) { / 0.8, / 0.8, / 0.8, / 0.8, / 0.8}.FR A x x x x x The upper approximations are 1( ) ( ) 0.98,FR A x  2( ) ( ) 0.9,FR A x  3( ) ( ) 0.95,FR A x  4( ) ( ) 0.96,FR A x  5( ) ( ) 0.98.FR A x  1 2 3 4 5( ) { / 0.98, / 0.9, / 0.95, / 0.96, / 0.98}.FR A x x x x x Consider, 1 2 3 4 5{ , , , , },U x x x x x 1 2 3 4 5{( ,0.4),( ,0.3),( ,0.6),( ,0.5),( ,0.45)}B x x x x x
  • 5. Fuzzy Rough Connected Space Manuscript id. 371428248 www.ijstre.com Page 51 and 1 0.4 0.6 0.7 0.75 0.4 1 0.5 0.35 0.75 0.6 0.5 1 0.8 0.65 0.7 0.35 0.8 1 0.55 0.75 0.75 0.65 0.55 1 FR                 The lower approximations are ( ) 1( ) 0.4,FR B x  ( ) 2( ) 0.3,FR B x  ( ) 3( ) 0.4,FR B x  ( ) 4( ) 0.4,FR B x  ( ) 5( ) 0.3.FR B x  1 2 3 4 5( ) { / 0.4, / 0.3, / 0.4, / 0.4, / 0.3}.FR B x x x x x The upper approximations are 1( ) ( ) 0.6,FR B x  2( ) ( ) 0.45,FR B x  3( ) ( ) 0.6,FR B x  4( ) ( ) 0.6,FR B x  5( ) ( ) 0.6.FR B x  1 2 3 4 5( ) { / 0.6, / 0.45, / 0.6, / 0.6, / 0.6}.FR B x x x x x ( ) 1 ( ) 1( ) ( ) 1.2 1FR A FR Bx x    1 1( ) ( ) ( ) ( ) 1.58 1.FR A FR B x x    Similarly, other values can be found. Clearly ( , ( ), )U FR A  is fuzzy rough connected. Theorem:3.13. A fuzzy rough topological space ( , ( ), )U FR A  is fuzzy rough separated if and only if there exists a non empty proper fuzzy rough subset of ( )FR A which is both fuzzy rough open and fuzzy rough closed. Proof. Let ( )sFR B be a non empty proper fuzzy rough subset of ( )FR A which is both fuzzy rough open and fuzzy rough closed. Now ( ) [ ( )]c s sFR H FR B is a non empty proper fuzzy rough subset of ( )FR A which is also both fuzzy rough open and fuzzy rough closed. ( ) ( )s sFR B FR B  and ( ) ( )s sFR H FR H ( )FR A can be expressed as the union of two fuzzy rough sets ( ), ( )s sFR B FR H Such that ( ) ( )s sFR B qFR H ( , ( ), )U FR A  is fuzzy rough separated. Conversely, let ( , ( ), )U FR A  be fuzzy rough separated.   non empty fuzzy rough subsets ( )sFR B and ( ) ( ) ( )s s sFR H FR B qFR H and ( ) ( ).s sFR B qFR H Now, ( ) ( )s sFR B FR B and ( ) ( ).s sFR B qFR H
  • 6. Fuzzy Rough Connected Space Manuscript id. 371428248 www.ijstre.com Page 52 ( ) ( )s sFR B qFR H ( ) [ ( )] .c s sFR H FR B  Also, ( ) ( )s sFR B qFR H ( ) [ ( )] .c s sFR B FR H  Similarly ( ) [ ( )]c s sFR H FR B . Hence ( ), ( )s sFR B FR H are fuzzy rough open sets being the complements of fuzzy rough closed sets. Also ( ) [ ( )]c s sFR H FR B ( )sFR H is fuzzy rough closed. Theorem 3.14. If the fuzzy rough sets ( )FR A and ( )FR B form a fuzzy rough separation of U and if ( )( ( ), )ss FR BFR B  is a fuzzy rough connected subspace of ( , ( ), )U FR A  then ( ) ( )sFR B FR A or ( ) ( ).sFR B FR B Proof. Suppose ( )sFR B is neither contained in ( )FR A nor in ( ).FR B Since ( )FR A and ( )FR B form a fuzzy rough separation of ,U ( ) ( )sFR A qFR B and ( ) ( ).sFR B qFR B ( )( ( ), )ss FR BFR B  is a fuzzy rough subspace of ( , ( ), ).U FR A  ( ) ( )sFR A FR B and ( ) ( )sFR B FR B are both open in ( ).F sR B ( )FR A and ( )FR B are fuzzy rough open sets ( ) ( ).FR A qFR B Consider, ( ( ) ( )) ( ( ) ( ))s sFR A FR B FR B FR B   ( ( ) ( )) ( ) ( ) ( ),sFR A FR B FR B FR A FR B     where ( ) ( )FR A qFR B ( ( ) ( )) ( ( ) ( )).s sFR A FR B q FR B FR B   Hence ( ( ), ( ))s F sFR B R B is separated, a contradiction. Therefore ( ) ( )sFR B FR A or ( ) ( ).sFR B FR B Theorem.3.15. Let ( )( ( ), )ss FR BFR B  be a fuzzy rough connected subspace of ( , ( ), ).U FR A  If ( ) ( ) ( )s sFR B FR A FR B  , then ( )FR A is also fuzzy rough connected. Proof. Let ( )FR A be connected and ( ) ( ) ( )s sFR B FR A FR B  . Suppose not, then ( )FR A is separated. Therefore  fuzzy rough open sets ( )FR B and ( ) ( ) ( ).FR C FR B qFR C Then ( ) ( )sFR B FR B or ( ) ( ).sFR B FR C If, ( ) ( ),sFR B FR B then ( ) ( ).sFR B FR B Since ( ) ( ), ( )sFR B qFR C FR B cannot intersect ( ).FR C This contradicts the fact that ( )FR C is nonempty. Hence ( )FR A is connected.
  • 7. Fuzzy Rough Connected Space Manuscript id. 371428248 www.ijstre.com Page 53 Remark. In particular if ( )sFR B is fuzzy rough connected then ( )sFR B is fuzzy rough connected. Theorem 3.16. Arbitrary union of fuzzy rough connected subspaces of ( , ( ), )U FR A  that have nonempty intersection is fuzzy rough connected. Proof. Let ) ({ ( ), | }ss FR BFR B      be a collection of fuzzy rough connected subspaces of ( , ( ), )U FR A  with nonempty intersection. To prove that ( )sFR B   is connected. Suppose not, then ( )sFR B   is separated. Therefore  non empty disjoint fuzzy rough open sets ( )FR A and ( ) ( ) ( )sFR B FR A qFR B   and ( ) ( ),sFR B qFR B  for each  in the subspace. As ( )sFR B  is connected for each , one of ( ) ( )sFR A qFR B  and ( ) ( ).sFR B qFR B  Suppose ( ) ( )sFR A qFR B  ( ) ( ) ( )s sFR B FR B FR B     ( ) ( )sFR B FR B     ( ) ( ).sFR B FR B    ( ) ( ) ( ).FR A FR B FR B   ( )FR A is empty, a contradiction. Theorem.3.17. Arbitrary union of family of fuzzy rough connected subsets of ( , ( ), )U FR A  such that one of the members of the family has nonempty intersection with every member of the family, is fuzzy rough connected. Proof. Let ) ({ ( ), | }ss FR BFR B      be a collection of fuzzy rough connected subspaces of ( , ( ), )U FR A  and 0 ( )SFR B  be a fixed member such that 0 ( ) ( )S sFR B qFR B  for each .  Then by Theorem 3.16, 0 ( ) ( ) ( )S sFR A FR B FR B    is fuzzy rough connected for each .  Now, 0 ( ) ( ( ) ( )) ( )S s sFR A FR B FR B FR B               and 0 ( ) ( ( ) ( ))S sFR A FR B FR B          0 0 ( ) ( ( )) .s sFR B FR B        ( )FR A is fuzzy rough connected. Theorem. 3.18. If 1( , ( ), )U FR A  is a fuzzy rough connected space and 2 is fuzzy rough coarser than 1, then 2( , ( ), )U FR A  is also fuzzy rough connected.
  • 8. Fuzzy Rough Connected Space Manuscript id. 371428248 www.ijstre.com Page 54 Proof. Assume that ( ), ( )FR B FR C form a fuzzy rough separation of 2( , ( ), ).U FR A  2 1( ), ( ) , ( ), ( )FR B FR C FR B FR C    ( ), ( )FR B FR C form a fuzzy rough separation of 1( , ( ), ),U FR A  a contradiction. Therefore 2( , ( ), )U FR A  is fuzzy rough connected. IV. CONCLUSION The notion of fuzzy rough connectedness captures the idea of “hanging-togetherness” of image elements in an object by assigning a strength of connectedness to every possible path between every possible pair of image elements. Fuzzy rough connectedness is a very useful topological property for a space to possess. Measures of fuzzy rough connectedness can be applied in image segmentation and network literature. The concept of fuzzy rough connectedness can be extended to fuzzy soft rough connectedness. V. Acknowledgement The third author is thankful to the University Grant Commission, New Delhi-110021, India, for providing BSR fellowship under grant # F.25-1/2014-15(BSR)/7-254/2009(BSR)dated 20.01.2015. REFERENCES [1] Z.Pawlak, Rough sets, International Journal of computer and Information sciences, 11 (1982), 341-356. [2] Z.Pawlak, Rough Sets: Theoretical Aspects of Reasoning About Data, Kluwer Academic Publishers, Boston, 1991. [3] D.Dubois, H.Prade, Rough fuzzy set and fuzzy rough sets, Internat. J. Gen. Systems, 17 (1990), 191-209. [4] D.Dubois, H.Prade, Putting fuzzy sets and rough sets together, Intelligent Decision Support, Kluwer Academic, Dordrecht, 1992, 203-232. [5] S.Nanda, Fuzzy rough sets, Fuzzy Sets and Systems, 45 (1992), 157-160. [6] Yong Chan Kim and S.E.Abbas, Separations based on R-fuzzy Semi-open sets, Int. J of Fuzzy Mathematics,15 (2007), 53-68. [7] Keyun Qin and Zheng Pei, On the topological properties of fuzzy rough sets, Fuzzy Sets and Systems, 151 (2005), 601-613. [8] Boby P.Mathew and Sunil Jacob John, On rough topological spaces, International Journal of Mathematical Archive, 3 (9) (2012), 3413-3421. [9] M.Lellis Thivagar, Carmel Richard and Nirmala Rebecca Paul, Mathematical Innovations of a Modern Topology in Medical Events, International Journal of Information science, 2(4) (2012), 33-36. [10] T.K.Samanta and Biswajit Sarkar, Fuzzy rough relations, arxiv:1109.1803, 1 (2011), 10-17. [11] Fatimah M Mohammed, M.S.M Noorani, A.Ghareeb, it Several types of totally continuous functions in double fuzzy topological spaces, Advances in fuzzy systems, 2014, 361-398. [12] George J.Klir, Tina A.Folger, Fuzzy sets, Uncertainty and information, Prentice Hall of India, (2005).