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Suzuki-type fixed point theorem for fuzzy mappings in ordered metric spaces

Abstract

In this paper, a Suzuki-type fixed fuzzy point result for fuzzy mappings in complete ordered metric spaces is obtained. As an application, we establish the existence of coincidence fuzzy points and common fixed fuzzy points for a hybrid pair of a single-valued self-mapping and a fuzzy mapping. An example is also provided to support the main result presented herein.

MSC:47H10, 47H04, 47H07.

1 Introduction and preliminaries

Let X be a space of points with generic elements of X denoted by x and I=[0,1]. A fuzzy subset of X is characterized by a membership function such that each element in X is associated with a real number in the interval I. Let (X,d) be a metric space and a fuzzy set A in X is characterized by a membership function A. Then α-level set of A, denoted by A α , is defined as

A α = { x : A ( x ) α }

for α(0,1] and for α=0, we have

A 0 = { x : A ( x ) > 0 } ¯ ,

where B ¯ denotes the closure of the non-fuzzy set B. A fuzzy set A in X is said to be an approximate quantity if and only if for α[0,1], A α is a compact, convex subset of X and

sup x X A(x)=1.

Let W(X) be a family of all approximate quantities in X. A fuzzy set A is said to be more accurate than a fuzzy set B denoted by AB (that is, B includes A) if and only if A(x)B(x) for each x in X, where A(x) and B(x) denote the membership function of A and B, respectively. It is easy to see that if 0<αβ1, then A α A β .

Corresponding to each α[0,1] and xX, the fuzzy point x α of X is the fuzzy set x α :X[0,1] given by

x α (y)={ α if  x = y , 0 otherwise .

For α=1, we have

x 1 (y)={ 1 if  x = y , 0 otherwise ={x}.

Let I X be a collection of all fuzzy subsets of X and W(X) be a subcollection of all approximate quantities. For A,BW(X) and α[0,1], define

and

D(A,B)= sup α D α (A,B).

Note that p α is a nondecreasing function of α and D is a metric on W(X). Let α[0,1]. Define W α (X)={A I X : A α  is nonempty, convex and compact}. Let (X,d) be a metric space and Y be an arbitrary set. A mapping F:Y W α (X) is called a fuzzy mapping, that is, Fy W α (X) for each y in Y. Thus, if we characterize a fuzzy set Fy in a metric space X by a membership function Fy, then Fy(x) is the grade of membership of x in Fy. Therefore, a fuzzy mapping F is a fuzzy subset of Y×X with a membership function Fy(x).

In a more general sense than that given in [1], a mapping F:X I X is a fuzzy mapping over X[2] and (F(x)x) is the fixed degree of x in F(x).

Definition 1 ([3])

A fuzzy point x α in X is called a fixed fuzzy point of the fuzzy mapping F if x α Fx, that is, (Fx)xα or x ( F x ) α . That is, the fixed degree of x in Fx is at least α. If {x}Fx, then x is a fixed point of a fuzzy mapping F.

Let F:X W α (X) and g:XX.

A fuzzy point x α in X is called a coincidence fuzzy point of the hybrid pair {F,g} if ( g x ) α Fx, that is, (Fx)gxα or gx ( F x ) α . That is, the fixed degree of gx in Fx is at least α. A fuzzy point x α in X is called a common fixed fuzzy point of the hybrid pair {F,g} if x α = ( g x ) α Fx, that is, x=gx ( F x ) α (the fixed degree of x and gx in Fx is the same and is at least α).

We denote by C α (F,g) and F α (F,g) the set of all coincidence fuzzy points and the set of all common fixed fuzzy points of the hybrid pair {F,g}, respectively.

A hybrid pair {F,g} is called w-fuzzy compatible if g ( F x ) α ( F g x ) α whenever x C α (F,g).

A mapping g is called F-fuzzy weakly commuting at some point xX if g 2 (x) ( F g x ) α .

Lemma 1 ([4])

Let X be a nonempty set andg:XX. Then there exists a subsetEXsuch thatg(E)=g(X)andg:EXis one-to-one.

Definition 2 Let X be a nonempty set. Then (X,d,) is called an ordered metric space if (X,d) is a metric space and (X,) is partially ordered.

Let (X,) be a partially ordered set. Then x,yX are said to be comparable if xy or yx holds.

Define

= { ( x , y ) X × X : x y  or  y x } .

An ordered metric space is said to satisfy the order sequential limit property if ( u n ,z) for all n, whenever a sequence u n z and ( u n , u n + 1 ) for all n.

A mapping F:X W α (X) is said to be an ordered fuzzy mapping if the following conditions are satisfied:

  1. (a)

    yF ( x ) α implies that (y,x).

  2. (b)

    (x,y) implies that (u,v) whenever u ( F x ) α and v ( F y ) α .

The following lemmas are needed in the sequel.

Lemma 2 (Heilpern [1])

Let(X,d)be a metric space, x,yXandA,BW(X):

  1. 1.

    if p α (x,A)=0, then x α A;

  2. 2.

    p α (x,A)d(x,y)+ p α (y,A);

  3. 3.

    if x α A, then p α (x,B) D α (A,B).

Lemma 3 (Lee and Cho [5])

Let(X,d)be a complete metric space and F be a fuzzy mapping from X intoW(X)and x 0 X. Then there exists an x 1 Xsuch that{ x 1 }F x 0 .

Zadeh [6] introduced the concept of a fuzzy set. Heilpern [1] introduced the concept of fuzzy mappings in a metric space and proved a fixed point theorem for fuzzy contraction mappings as a generalization of the fixed point theorem for multivalued mappings given by Nadler [7]. Estruch and Vidal [3] proved a fixed point theorem for fuzzy contraction mappings in complete metric spaces which in turn generalizes the Heilpern fixed point theorem. Further generalizations of the result given in [3] were proved in [8, 9]. Recently, Suzuki [10] generalized the Banach contraction principle and characterized the metric completeness property of an underlying space. Among many generalizations (see [1113]) of the results given in [10], Dorić and Lazović [14] obtained Suzuki-type fixed point results for a generalized multivalued contraction in complete metric spaces.

On the other hand, the existence of fixed points in ordered metric spaces has been introduced and applied by Ran and Reurings [15]. Fixed point theorems in partially ordered metric spaces are hybrid of two fundamental principles: Banach contraction theorem with a contractive condition for comparable elements and a selection of an initial point to generate a monotone sequence. For results concerning fixed points and common fixed points in partially ordered metrics spaces, we refer to [1622].

The aim of this paper is to investigate Suzuki-type fixed point results for fuzzy mappings in complete ordered metric spaces. As an application, a coincidence fuzzy point and a common fixed fuzzy point of the hybrid pair of a single-valued self-mapping and a fuzzy mapping are obtained. We provide an example to support the result.

Throughout this paper, let σ:[0,1)(0,1] be the nonincreasing function defined by

σ(r)={ 1 if  0 r < 1 2 , 1 r if  1 2 r < 1 .
(1)

2 Main results

The following theorem is the main result of the paper and is a generalization of [[14], Theorem 2.1] for fuzzy mappings in ordered metric spaces.

Theorem 4 Let(X,d,)be a complete ordered metric space. If an ordered fuzzy mappingF:X W α (X)satisfies

σ(r) p α (x,Fx)d(x,y)implies D α (Fx,Fy)r M α (F)
(2)

for all(x,y), where

M α (F)=max { d ( x , y ) , p α ( x , F x ) , p α ( y , F y ) , p α ( x , F y ) + p α ( y , F x ) 2 } .

Then there exists a pointxXsuch that x α Fxprovided that X satisfies the order sequential limit property.

Proof Let r 1 be a real number such that 0r< r 1 <1 and u 1 X. Since ( F u 1 ) α is nonempty and compact, there exists u 2 ( F u 1 ) α such that

d( u 1 , u 2 )= p α ( u 1 ,F u 1 ).

By the given assumption, we have ( u 1 , u 2 ). Since ( F u 2 ) α is nonempty and compact, there exists u 3 ( F u 2 ) α such that

d( u 2 , u 3 )= p α ( u 2 ,F u 2 ) D α (F u 1 ,F u 2 ).

Also, ( u 2 , u 3 ). Since σ(r)<1, we obtain

σ(r) ρ α ( u 1 ,F u 1 ) p α ( u 1 ,F u 1 )=d( u 1 , u 2 ).

That is,

σ(r) p α ( u 1 ,F u 1 )d( u 1 , u 2 ).

So, we have

d ( u 2 , u 3 ) D α ( F u 1 , F u 2 ) r max { d ( u 1 , u 2 ) , p α ( u 1 , F u 1 ) , p α ( u 2 , F u 2 ) , p α ( u 1 , F u 2 ) + p α ( u 2 , F u 1 ) 2 } r 1 max { d ( u 1 , u 2 ) , d ( u 1 , u 2 ) , d ( u 2 , u 3 ) , d ( u 1 , u 2 ) + p α ( u 2 , F u 2 ) 2 } r 1 max { d ( u 1 , u 2 ) , d ( u 2 , u 3 ) , d ( u 1 , u 2 ) + d ( u 2 , u 3 ) 2 } .

Note that d( u 2 , u 3 )d( u 1 , u 2 ). If not, then the above inequality gives

d ( u 2 , u 3 ) r 1 max { d ( u 2 , u 3 ) , d ( u 2 , u 3 ) , d ( u 2 , u 3 ) + d ( u 2 , u 3 ) 2 } = r 1 d ( u 2 , u 3 ) < d ( u 2 , u 3 ) as  r 1 < 1 ,

a contradiction. Hence, d( u 2 , u 3 ) r 1 d( u 1 , u 2 ). Continuing this process, we construct a sequence { u n } in X such that u n + 1 ( F u n ) α and u n + 2 ( F u n + 1 ) α with

d( u n + 1 , u n + 2 )= p α ( u n + 1 ,F u n + 1 ) D α (F u n ,F u n + 1 ).

By the given assumption, we have ( u n , u n + 1 ) and ( u n + 1 , u n + 2 ). As σ(r)<1, so

σ(r) p α ( u n ,F u n ) p α ( u n ,F u n )=d( u n , u n + 1 ).

Therefore,

d ( u n + 1 , u n + 2 ) D α ( F u n , F u n + 1 ) r max { d ( u n , u n + 1 ) , p α ( u n , F u n ) , p α ( u n + 1 , F u n + 1 ) , p α ( u n , F u n + 1 ) + p α ( u n + 1 , F u n ) 2 } r 1 max { d ( u n , u n + 1 ) , d ( u n , u n + 1 ) , d ( u n + 1 , u n + 2 ) , d ( u n , u n + 1 ) + p α ( u n + 1 , F u n + 1 ) 2 } r 1 max { d ( u n , u n + 1 ) , d ( u n + 1 , u n + 2 ) , d ( u n , u n + 1 ) + d ( u n + 1 , u n + 2 ) 2 } .

We claim that d( u n + 1 , u n + 2 )d( u n , u n + 1 ). If not, then by the above inequality, we obtain

d ( u n + 1 , u n + 2 ) r 1 max { d ( u n + 1 , u n + 2 ) , d ( u n + 1 , u n + 2 ) , d ( u n + 1 , u n + 2 ) + d ( u n + 1 , u n + 2 ) 2 } r 1 d ( u n + 1 , u n + 2 ) < d ( u n + 1 , u n + 2 ) ,

a contradiction as r 1 <1. So, we have

d( u n + 1 , u n + 2 ) r 1 d( u n , u n + 1 ) ( r 1 ) n d( u 1 , u 2 )

and

n = 1 d( u n + 1 , u n + 2 ) n = 1 ( r 1 ) n d( u 1 , u 2 )<.
(3)

Hence, { u n } is a Cauchy sequence in X. Since X is complete, there is some point zX such that lim n u n =z. As ( u n , u n + 1 ) for all n, then by the assumption, ( u n ,z). Now, we show that for every pair (x,z) with xz, the following inequality holds:

p α (z,Tx)rmax { d ( z , x ) , p α ( x , F x ) } .

As lim n u n =z, there exists a positive integer n 0 N such that for all n n 0 , we have

d(z, u n ) 1 3 d(z,x).
(4)

Now, for all n n 0 ,

σ ( r ) p α ( u n , F u n ) p α ( u n , F u n ) d ( u n , z ) + p α ( z , F u n ) d ( u n , z ) + d ( z , u n + 1 ) 1 3 d ( z , x ) + 1 3 d ( z , x ) 2 3 d ( z , x ) = d ( z , x ) 1 3 d ( z , x ) d ( z , x ) d ( u n , z ) d ( u n , x )

implies that

p α ( u n + 1 , F x ) D α ( F u n , F x ) r max { d ( u n , x ) , p α ( u n , F u n ) , p α ( x , F x ) , p α ( u n , F x ) + p α ( x , F u n ) 2 } r max { d ( u n , x ) , d ( u n , u n + 1 ) , p α ( x , F x ) , p α ( u n , F x ) + d ( x , u n + 1 ) 2 } ,

which on taking limit as n gives

p α (z,Fx)rmax { d ( z , x ) , p α ( x , F x ) , p α ( z , F x ) + d ( x , z ) 2 } .

If

max { d ( z , x ) , p α ( x , F x ) , p α ( z , F x ) + d ( x , z ) 2 } = p α ( z , F x ) + d ( x , z ) 2 ,

then

Hence,

p α (z,Fx)rmax { d ( z , x ) , p α ( x , F x ) } .
(5)

Now, we show that z α Fz for each α[0,1]. First, consider the case 0r<1/2. Assume on the contrary that z α Fz, that is, z ( F z ) α . Let a ( F z ) α , as ( F z ) α is nonempty and compact, so for each α[0,1], we have

2rd(a,z)< p α (z,Fz).
(6)

Now, a ( F z ) α implies (a,z) and az. From (5) we have

p α (z,Fa)rmax { d ( z , a ) , p α ( a , F a ) } .
(7)

Now,

σ(r) p α (z,Fz) p α (z,Fz)=d(z,a)

implies that

D α ( F z , F a ) r max { d ( z , a ) , p α ( z , F z ) , p α ( a , F a ) , p α ( z , F a ) + p α ( a , F z ) 2 } r max { d ( z , a ) , p α ( z , F z ) , p α ( a , F a ) , p α ( z , F a ) 2 } r max { d ( z , a ) , p α ( z , F z ) , p α ( a , F a ) , d ( z , a ) + p α ( a , F a ) 2 } r max { d ( z , a ) , p α ( z , F z ) , p α ( a , F a ) } r max { d ( z , a ) , p α ( a , F a ) } .

Hence,

D α (Fz,Fa)rmax { d ( z , a ) , p α ( a , F a ) } ,

which further implies that

p α (a,Fa)rmax { d ( z , a ) , p α ( a , F a ) } as  p α (a,Fa) D α (Fz,Fa).

We claim that p α (a,Fa)d(z,a). If not, then the above inequality becomes

p α (a,Fa)r p α (a,Fa)< p α (a,Fa)as r<1,

a contradiction, so we deduce that p α (a,Fa)rd(z,a). From inequality (7), we have

p α (z,Fa)rd(z,a).

Therefore,

p α ( z , F z ) p α ( z , F a ) + D α ( F z , F a ) r d ( z , a ) + r max { d ( z , a ) , p α ( a , F a ) } r d ( z , a ) + r d ( z , a ) 2 r d ( z , a ) < p α ( z , F z ) ,

a contradiction. Hence, z α Fz.

Now, when 1/2r<1, we first prove that

D α (Fx,Fz)rmax { d ( x , z ) , p α ( x , F x ) , p α ( z , F z ) , p α ( x , F z ) + p α ( z , F x ) 2 }
(8)

for all (x,z). If x=z, then (8) holds trivially. So, assume that xz. For every nN, one may find a sequence y n ( F x ) α such that

d(z, y n ) p α (z,Fx)+ 1 n d(x,z).

As y n ( F x ) α , this implies ( y n ,x). Using (7) we have

p α ( x , F x ) d ( x , y n ) d ( x , z ) + d ( z , y n ) d ( x , z ) + p α ( z , F x ) + 1 n d ( x , z ) d ( x , z ) + r max { d ( z , x ) , p α ( x , F x ) } + 1 n d ( x , z )

for all nN. If d(x,z) p α (x,Fx), then

p α ( x , F x ) d ( x , z ) + r d ( z , x ) + 1 n d ( x , z ) d ( x , z ) + r d ( z , x ) + 1 n d ( x , z ) ( 1 + r + 1 n ) d ( x , z ) .

This implies that

1 ( 1 + r ) p α (x,Fx) ( 1 + 1 ( 1 + r ) n ) d(x,z).

Hence, for 1 2 r<1, we obtain

σ ( r ) p α ( x , F x ) = ( 1 r ) p α ( x , F x ) 1 ( 1 + r ) p α ( x , F x ) ( 1 + 1 ( 1 + r ) n ) d ( x , z ) .

On taking the limit as n, we have

σ(r) p α (x,Fx)d(x,z).

If d(x,z) p α (x,Fx), then

On taking the limit as n, we have

σ(r) p α (x,Fx)d(x,z).

By the given assumption, we have

D α (Fx,Fz)rmax { d ( x , z ) , p α ( x , F x ) , p α ( z , F z ) , p α ( x , F z ) + p α ( z , F x ) 2 } .

Thus, for any xz, (8) holds true. Put x= u n in the above inequality to obtain

p α ( z , F z ) lim n p α ( u n + 1 , F z ) lim n D α ( F u n , F z ) lim n r max { d ( u n , z ) , d ( u n , u n + 1 ) , p α ( z , F z ) , p α ( u n , F z ) + p α ( z , F u n ) 2 } = r p α ( z , F z )

as r<1, we get p α (z,Fz)=0. Hence by Lemma 2, z α Fz. □

Corollary 5 Let(X,d,)be a complete ordered metric space. If an ordered fuzzy mappingF:X W α (X)satisfies

σ(r) p α (x,Fx)d(x,y)implies D α (Fx,Fy)r M α (F)

for all(x,y), where

M α (F)=max { d ( x , y ) , p α ( x , F x ) , p α ( y , F y ) } .

Then there exists a pointxXsuch that x α Fxprovided that X satisfies the order sequential limit property.

Corollary 6 Let(X,d,)be a complete ordered metric space. If an ordered fuzzy mappingF:X W α (X)satisfies

σ(r) p α (x,Fx)d(x,y)implies D α (Fx,Fy)λ M α (F)

for all(x,y), where

M α (F)=d(x,y)+ p α (x,Fx)+ p α (y,Fy)}

andλ[0, 1 3 ), r=3λ. Then there exists a pointxXsuch that x α Fxprovided that X satisfies the order sequential limit property.

3 An application

Let F:X W α (X) and g:XX. A pair {F,g} is said to be an ordered fuzzy hybrid pair if the following conditions are satisfied:

  1. (c)

    gyF ( x ) α implies that (y,x).

  2. (d)

    (x,y) gives (u,v) whenever gu ( F x ) α and gv ( F y ) α .

  3. (e)

    (gx,gy) whenever (x,y) for all x,yX.

Theorem 7 Let(X,d,)be a complete ordered metric space. If an ordered fuzzy hybrid pair{F,g}satisfies

σ(r) p α (gx,Fx)d(gx,gy)implies D α (Fx,Fy)r M α (F,g)
(9)

for all(x,y), where

M α (F,g)=max { d ( g x , g y ) , p α ( g x , F x ) , p α ( g y , F y ) , p α ( g x , F y ) + p α ( g y , F x ) 2 } .

Then C α (F,g)ϕprovided that X satisfies the order sequential limit property and ( F ( X ) ) α g(X)for each α. Moreover, F and g have a common fixed fuzzy point if any of the following conditions holds:

  1. (f)

    F and g are w-fuzzy compatible, lim n g n x=u and lim n g n y=v for some x C α (F,g), uX and g is continuous at u.

  2. (g)

    g is F-fuzzy weakly commuting for some x C α (g,F) and is a fixed point of g, that is, g 2 x=gx.

  3. (h)

    g is continuous at x for some x C α (g,F) and for some uX such that lim n g n u=x.

Proof By Lemma 1, there exists EX such that g:EX is one-to-one and g(E)=g(X). Define a mapping A:g(E) W α (X) by

Agx=Fxfor all gxg(E).
(10)

As g is one-to-one on E, A is well defined. Also,

σ(r) p α (gx,Fx)d(gx,gy)implies D α (Fx,Fy)r M α (F,g)
(11)

for all (x,y). Therefore,

σ(r) p α (gx,Agx)d(gx,gy)implies D α (Agx,Agy)r M α (F,g)

for all (gx,gy). Hence, A satisfies (2) and all the conditions of Theorem 4. Using Theorem 4 with a mapping A, it follows that A has a fixed fuzzy point ug(E). Now, it is left to prove that F and g have a coincidence fuzzy point. Since A has a fixed fuzzy point u α Au, we get u ( A u ) α . As ( F ( X ) ) α g(X), so there exists u 1 X such that g u 1 =u, thus it follows that g u 1 ( A g u 1 ) α = ( F u 1 ) α . This implies that u 1 X is a coincidence fuzzy point of F and g. Hence, C α (F,g)ϕ. Suppose now that (f) holds. Then for some x α C α (F,g), we have lim n g n x=u, where uX. Thus ( g n 1 x,u). Since g is continuous at u, we have that u is a fixed point of g. As F and g are w-fuzzy compatible, and ( g n x ) α C α (F,g) for all n1. That is, g n xF ( g n 1 x ) α for all n1. Now,

σ ( r ) p α ( g n x , F g n 1 x ) p α ( g n x , F g n 1 x ) = 0 d ( g g n 1 x , g u )

implies that

p α ( g u , F u ) p α ( g u , g n x ) + p α ( g n x , F u ) p α ( g u , g n x ) + D α ( F ( g n 1 x ) , F u ) p α ( g u , g n x ) + r max { d ( g g n 1 x , g u ) , p α ( g n x , F g n 1 x ) , p α ( g u , F u ) , p α ( g u , F g n 1 x ) + p α ( g n x , F u ) 2 } .

On taking limit as n, we get p α (gu,Fu)r p α (gu,Fu) and therefore p α (gu,Fu)=0. By Lemma 2 we obtain gu ( F u ) α . Consequently, u=gu ( F u ) α . Hence, u α is a common fixed fuzzy point of F and g. Suppose now that (g) holds. If for some x α C α (F,g), g is F-fuzzy weakly commuting and g 2 x=gx, then gx= g 2 x ( F g x ) α . Hence, ( g x ) α is a common fixed fuzzy point of F and g. Suppose now that (h) holds and assume that for some x α C α (F,g) and for some uX, lim n g n u=x and lim n g n v=y. By the continuity of g at x and y, we get x=gx ( F x ) α . The result follows. □

Example 1 Let X=[0,1] be endowed with the usual metric. Let α(0, 1 3 ) and r= 1 2 , then σ(r)= 1 2 . Define a fuzzy mapping F from X into W α (X) as

(F0)(x)={ 1 if  x = 0 , α if  x ( 0 , 1 3 ] , α 3 if  x ( 1 3 , 1 ] and(F1)(x)={ 1 if  x = 0 , 3 α if  x ( 0 , 1 3 ] , α 3 if  x ( 1 3 , 1 ]

and for z(0,1),

(Fz)(x)={ 1 if  x = 0 , α if  x ( 0 , 1 3 ] , 0 if  x ( 1 3 , 1 ] .

Define a self-map g:XX by g(x)= x 2 . Then

Note that for all x,yX, we have

D 1 (Fx,Fy)=H ( ( F x ) 1 , ( F y ) 1 ) = D α (Fx,Fy)=H ( ( F x ) α , ( F y ) α ) =0.

Also, for all x,y{0,1}, we have

D α 3 (Fx,Fy)=H ( ( F x ) α 3 , ( F y ) α 3 ) =0.

And

D α 3 (Fx,Fy)=H ( ( F x ) α 3 , ( F y ) α 3 ) =0for all x,y(0,1).

If x{0,1} and y(0,1), then D α 3 (Fx,Fy)=H( ( F x ) α 3 , ( F y ) α 3 )= 2 3 . So, for all x,yX, with σ(r) p α (x,Fx)d(x,y), we have D α (Fx,Fy)=0. Hence, for all x,yX,

D α (Fx,Fy)r M α (F)and D α (Fx,Fy)r M α (F,g)

hold true, where

M α (F)=max { d ( x , y ) , p α ( x , F x ) , p α ( y , F y ) , p α ( x , F y ) + p α ( y , F x ) 2 }

and

M α (F,g)=max { d ( g x , g y ) , p α ( g x , F x ) , p α ( g y , F y ) , p α ( g x , F y ) + p α ( g y , F x ) 2 } .

Hence, all the conditions of Theorem 7 are satisfied. Moreover, for each x[0, 1 3 ], we have x α F(x) and ( g x ) α F(x). For α=1, we have {0}={g0} ( F 0 ) 1 .

4 Conclusion

The Banach contraction principle has become a classical tool to show the existence of solutions of functional equations in nonlinear analysis (see for details [2326]). Suzuki-type fixed point theorems [10, 14] are the generalizations of the Banach contraction principle that characterize metric completeness of underlying spaces. Fuzzy sets and mappings play important roles in the process of fuzzification of systems. Suzuki-type fixed point theorems for fuzzy mappings obtained in this article can further be used in the process of finding the solutions of functional equations involving fuzzy mappings in fuzzy systems. In the main result, we not only extended the mapping to a fuzzy mapping, but also the underlying metric space has been replaced with ordered metric spaces. In this article, we defined coincidence fuzzy points and common fixed fuzzy points of the hybrid pair of a single-valued self-mapping and a fuzzy mapping and applied our main result to obtain the existence of coincidence fuzzy points and common fixed fuzzy points of the hybrid pair.

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Acknowledgements

The authors are thankful to the referees for their critical remarks which helped to improve the presentation of this paper.

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Correspondence to Basit Ali.

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Keywords

  • fixed fuzzy point
  • fuzzy mapping
  • fuzzy set
  • approximate quantity