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Abstract
In this paper, we establish some fixed point results for fuzzy mapping in a complete b-metric space. Our results unify, extend and generalize several results in the existing literature. Example is also given to support our results.
Public Interest Statement
The concept of fuzziness is helpful in solving such real-world problems where uncertainty occurs and many authors solve such problems by mathematical modeling in terms of fuzzy differential equations. Fixed point theorems play a fundamental role in demonstrating the existence of solutions to a wide variety of problems arising in physics, mathematics, engineering, medicine and social sciences.
The derived results extend and generalize some results in the existing literature. To show the validity of the derived results, an appropriate example and applications are also discussed. Our results are also useful in geometric problems arising in high-energy physics. This is because events in this case are mostly fuzzy sets.
1. Introduction and preliminaries
Fixed point theory plays an important role in the various fields of mathematics. It provides very important tools for finding the existence and uniqueness of the solutions. The Banach contraction theorem has an important role in fixed point theory and became very popular due to iterations which can be easily implemented on the computers. The idea of fuzzy set was first laid down by Zadeh (Citation1965). Later many researcher study many direction of fuzzy for extend in some research area for example in Nashine, Vetro, Kumam and Kumam (Citation2014), Mursaleen, Srivastava and Sharma (Citation2016), Phiangsungnoen, Sintunavarat and Kumam (Citation2014), Xu, Tang, Yang and Srivastava (Citation2016) and on Weiss (Citation1975) and Butnariu (Citation1982) give the idea of fuzzy mapping and obtained many fixed point results. Afterward, Heilpern (Citation1981) initiated the idea of fuzzy contraction mappings and proved a fixed point theorem for fuzzy contraction mappings which is a fuzzy analogue of Nadler (Citation1969) fixed point theorem for multivalued mappings. In 2005, Gupta et al. (Citation2015) obtained some existence results of fixed points for contractive mappings in fuzzy metric spaces using control function. In 2015, Aghayan, Zireh and Ebadian (Citation2017) studied some common best proximity points for non-self mappings between two subsets of complex valued b-metric spaces and generalized some well-known results that were proved in classic metric spaces on complex valued b-metric space by some new definitions. Also they presented a type of contractive condition and develop a common best proximity point theorem for non-self mappings in complex-valued b-metric spaces. Very recently, Shoaib, Kumam, Shahzad, Phiangsungnoen and Mahmood (Citation2018) studied and established some fixed point results for fuzzy mappings in a complete dislocated b-metric space.
In this paper we extended and obtained an -fuzzy fixed point and an
-fuzzy common fixed point for fuzzy mappings in a complete b-metric space. Example is also given which supports the proved results.
Definition 1.1
(Aydi, Bota, Karapnar, & Mitrovic, Citation2012) Let X be any nonempty set and be any given real number. A function
is called a b-metric, if it satisfies the following conditions for all
:
(1) |
| ||||
(2) | |||||
(3) |
Definition 1.2
(Joseph, Roselin, & Marudai, Citation2016) Let (X, d) be a b-metric space and be a sequence in X. Then,
(1) |
| ||||
(2) |
|
Definition 1.3
(Nadler, Citation1969) Let (X, d) be a metric space. We define the Hausdorff metric on CB(X) induced by d. Then,
for all where CB(X) denotes the family of closed and bounded subsets of X and
for all
A fuzzy set in X is a function with domain X and values in Azam (Citation2011), is the collection of all fuzzy sets in X. If A is a fuzzy set and
, then the function values A(x) is called as the grade of membership of x in A. The
-level set of fuzzy set A, is denoted by
and defined as:
Let X be any nonempty set and Y be a metric space. A mapping T is called as fuzzy mapping, if T is a mapping from X into . A fuzzy mapping T is a fuzzy subset on
with membership function T(x)(y). The function T(x)(y) is the grade of membership of y in T(x) . For convenience, we denote the
-level set of T(x) by
instead of
(Azam, Citation2011).
Definition 1.4
(Azam, Citation2011) A point is called an
-fuzzy fixed point of a fuzzy mapping
if there exists
such that
.
Definition 1.5
Let be the two fuzzy mappings and for
there exist
. A point x is said to be an
-fuzzy common fixed point of S and T if
.
Lemma 1.1
(Azam, Citation2011) Let A and B be nonempty closed and bounded subsets of a metric space (X, d). If , then
Lemma 1.2
(Azam, Citation2011) Let A and B be nonempty closed and bounded subsets of a metric space (X, d) and . Then, for
, there exists
such that
2. Main results
Now, we present our main results.
Theorem 2.1
Let (X, d) be a complete b-metric space with constant . Let
be a fuzzy mapping and for
there exist
satisfying the following condition:
(2.1)
(2.1)
for all . Also,
, where
with
and
Then, T has an
-fuzzy fixed point.
Proof
Let be any arbitrary point in X, such that
Then, by Lemma 1.2 there exists
, such that
(2.2)
(2.2)
Let
then, by above 2.2, we have
Again by Lemma 1.2, such that
(2.3)
(2.3)
By using 2.2, we get(2.4)
(2.4)
Continuing the same way by induction, we obtain a sequence , such that
and
, we have
(2.5)
(2.5)
Now, for any positive integer m, n and , we have
Since it follows from Cauchy root test,
is convergent, hence
is a Cauchy sequence in X. As, X is complete. So, there exists
such that
as
Now, we consider
Using 2.1, with we get
So, we get
Hence, is an
-fuzzy fixed point.
If we take in Theorem 2.1, then we have the following corollary which is a b-metric space extension of a metric space.
Corollary 2.1
Let (X, d) be a complete metric space. Let be a fuzzy mapping and for
there exist
satisfying the following condition:
(2.6)
(2.6)
for all . Also,
, where
with
and
Then, T has an
-fuzzy fixed point.
Next, we replace the another condition in Theorem 2.1; we get the following result which is a b-metric space extension of fixed point theorem given by Heilpern (Citation1981).
Corollary 2.2
Let (X, d) be a complete metric space. Let be a fuzzy mapping and for
there exist
satisfying the following condition:
(2.7)
(2.7)
for all , where
. Then, T has an
-fuzzy fixed point.
Theorem 2.2
Let (X, d) be a complete b-metric space with constant . Let
be the two fuzzy mappings and for
there exist
satisfying the following condition:
(2.8)
(2.8)
for all . Also
, where
with
and
Then, S and T have an
-fuzzy common fixed point.
Proof
Let be any arbitrary point in X, such that
Then, by Lemma 1.2 there exists
, such that
(2.9)
(2.9)
Similarly, by symmetry, we have(2.10)
(2.10)
Adding 2.10 and 2.11, we get(2.11)
(2.11)
Let,
then, by above 2.11, we have(2.12)
(2.12)
Again by Lemma 1.2, such that
Continuing the same way, by induction, we have a sequence such that
and
, with
(2.13)
(2.13)
Similarly,(2.14)
(2.14)
Adding 2.13 and 2.14, we get
Therefore,(2.15)
(2.15)
Now, for any positive integer m, n and , we have
Since it follows from Cauchy root test,
is convergent, hence
is a Cauchy sequence in X. As, X is complete. So, there exists
such that
as
Now, we prove be the
-fuzzy common fixed point of S and T.
Using 2.8, with we get
So, we get
This implies that is an
-fuzzy fixed point for S. Similarly, we can show that
. Hence,
be an
-fuzzy common fixed point.
If we take in Theorem 2.2, then we have the following corollary which is a b-metric space extension of a metric space.
Corollary 2.3
Let (X, d) be a complete metric space. Let be the two fuzzy mappings and for
there exist
satisfying the following condition:
(2.16)
(2.16)
for all . Also
, where
with
and
Then, S and T have
-fuzzy common fixed point.
In Theorem 2.2, if where
be the two fuzzy mappings and
, then we have the following corollary.
Corollary 2.4
Let (X, d) be a complete metric space. Let be the fuzzy mappings and for
there exist
satisfying the following condition:
(2.17)
(2.17)
for all . Also
, where
with
and
Then, T has an
-fuzzy fixed point.
Proof
Let be any arbitrary point in X, such that
Then, by Lemma 1.2 there exists
, such that
(2.18)
(2.18)
Similarly, by symmetry, we have(2.19)
(2.19)
Adding Equation2.19(2.19)
(2.19) and Equation2.20
(2.20)
(2.20) , we get
(2.20)
(2.20)
Let,
then, by above Equation2.20(2.20)
(2.20) , we have
(2.21)
(2.21)
Again by Lemma 1.2, such that
Continuing the same way, by induction, we have a sequence such that
and
, with
(2.22)
(2.22)
Similarly,(2.23)
(2.23)
Adding Equation2.22(2.22)
(2.22) and Equation2.23
(2.23)
(2.23) , we get
Therefore,(2.24)
(2.24)
Now, for any positive integer m, n and , we have
Since it follows from Cauchy root test,
is convergent, hence
is a Cauchy sequence in X. As, X is complete. So, there exists
such that
as
Now, we prove be the
-fuzzy fixed point of T.
Using Equation2.17(2.17)
(2.17) , with
we get
So, we get
This implies that is an
-fuzzy fixed point for T.
Example 2.1
Let X=(Azam, Citation2011) and , whenever
, then (X, d) is a complete b-metric space. Define a fuzzy mapping
by
For all , there exists
, such that
Then,
Since, all the conditions of Theorem 2.1 are satisfied. So, there exists is an
-fuzzy fixed point of T.
Authors Contribution
All authors contributed equally and significantly in writing this paper. All authors read and approved the final manuscript.
Competing interests
The authors declare that they have no competing interests.
Acknowledgements
The authors acknowledge the financial support provided by King Mongkut’s University of Technology Thonburi through the KMUTT 55th Anniversary Commemorative Fund. This project was supported by the Theoretical and Computational Science (TaCS) Center under Computational and Applied Science for Smart Innovation Cluster (CLASSIC), Faculty of Science, KMUTT. Furthermore, this work was financial supported by the Rajamangala University of Technology Thanyaburi (RMUTT).
Additional information
Funding
Notes on contributors
Wiyada Kumam
Wiyada Kumam is currently a Assistant Professor at the Program in Applied Statistics, Department of Mathematics and Computer Science, Faculty of Science and Technology, Rajamangala University of Technology Thanyaburi (RMUTT). Assistant Professor Dr. Wiyada Kumam, her field of interests are fuzzy optimization, fuzzy regression, least-squares method, minimization problem and fuzzy nonlinear mapping.
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