1. Introduction
In 1965, Zadeh [
1] introduced the concept of fuzzy set and fuzzy logic, providing a new context as an extension of the classical sets and logic. In ordinary set theory, an element either does or does not belong to a set under consideration, whereas, in the fuzzy logic, the bonding of an element to a set is expressed as a real number from the interval
. Since the establishment of this setting, a substantial number of pieces of literature have been developed in order to gain insight into the theory of fuzzy sets and their applications. Heilpern [
2] introduced the concept of fuzzy mapping and provided some fixed point results for this type of mappings.
The concept of metric, a distance-measuring mapping, has been generalized in a number of ways in the last seven decades (see, for instance, [
3,
4]). If the distance between the elements can not be expressed by an exact real number, then the factor of inaccuracy is incorporated in the metric. A significant generalization of the class of metrics is molded by the idea of fuzzy metrics. In 1975, Kramosil and Michalek [
5] presented the concept of fuzzy distance and fuzzy metrics using the concepts of fuzzy set and triangular norm (
t-norm, for short). While in metric spaces, the distance between two objects is given by an exact real number, in fuzzy metric spaces, it is given by a “distribution function” that models the degree of possibility of the event in which two arbitrary objects are at a distance less than a certain real parameter.
In 1988, Grabiec [
6] weakened the condition of completeness in fuzzy metric spaces by defining a notion of Cauchy sequence known as
G-Cauchy sequence, and the corresponding completeness concept, known as
G completeness. George and Veeramani [
7] modified the definition of fuzzy metric space and proved that every fuzzy metric space induces a Hausdorff topology.
Gregori and Sapena [
8] introduced fuzzy contractive mappings and proved Banach fixed point theorem for complete fuzzy metric spaces. Subsequently, several fixed point results for various types of contractive mappings in fuzzy metric spaces were established (see [
9,
10,
11,
12,
13,
14,
15,
16,
17,
18]). Nǎdǎban [
19] generalized the notion of
b-metric space by introducing fuzzy
b-metric spaces. Mehmood et al. [
20,
21] defined extended fuzzy
b-metric spaces and fuzzy rectangular
b-metric spaces and, thus, further extrapolated contractions to this general setting.
Samet et al. [
22] established some fixed point results in metric spaces for
-
-contractions. Stimulated by this work, Gopal and Vetro [
18] introduced the concept of
-
-contractive mapping and established some theorems for
G-complete fuzzy metric spaces in the sense of Grabiec [
6]. Later, many researchers explored
-admissibility in fuzzy metric spaces (see [
18,
23,
24]). We also mention the recent extension to spaces endowed with a graph given in [
25].
Motivated by the works [
20,
24], we introduce the notion of extended fuzzy rectangular
b-metric space (EFR
bMS) and establish some fixed point results via
α-admissibility in the setting of EFR
bMS. Our work, being in a more general framework than the classes of “extended fuzzy
b-metric spaces” and “rectangular fuzzy
b-metric spaces”, relaxes the triangle inequality of classical fuzzy metric spaces and generalizes the notion of distance. Consequently, more efficient techniques and algorithms can be devised for image filtering in such spaces. Some interesting applications of the relaxed triangle inequality and fuzzy metrics to the removal of image noise can be found in [
26,
27,
28,
29,
30,
31].
Our notions and results generalize some other concepts and fixed point results existing in the literature for fuzzy metric spaces. To demonstrate the validity of our results, some examples, along with an application for the existence of solutions to a class of integral equations, are provided.
2. Materials and Methods
In the following, some terms and definitions are provided, which will be needed in the sequel. Throughout this paper, represents the set of positive integers, and all the sets under consideration are assumed to be non-empty.
Definition 1. ([
32])
Let be a (continuous) binary operation and be an ordered abelian topological monoid with unit 1, then * is referred to as a continuous t-norm. Examples of some frequently used continuous t-norms are (Lukasievicz t-norm), (product t-norm) and (minimum t-norm).
Definition 2. ([
5])
Let * be a continuous t-norm and M a fuzzy set on which satisfies the following conditions, for all :- (KM1)
;
- (KM2)
;
- (KM3)
- (KM4)
;
- (KM5)
is continuous;
- (KM6)
.
Then the 3-tuple is termed as fuzzy metric space.
indicates the degree of closeness between p and q with respect to .
Remark 1. For , it is always true that .
Lemma 1. ([
8])
is non-decreasing for every fixed Example 1. ([
28])
Consider the space , where d is a metric on S. A fuzzy set defined on as follows is a fuzzy metric on SHere and n are positive real numbers, and ∗ is the product t-norm. This is a fuzzy metric induced by the metric d. In the above terms, a fuzzy metric is also defined if the minimum t-norm is used instead of the product t-norm.
For , it reduces to the standard fuzzy metric.
Definition 3. ([
19])
Let * be a continuous t-norm, be a given real number and M be a fuzzy set on satisfying the following conditions, for all :;
;
;
is continuous and
Then the 3-tuple is termed as fuzzy b-metric space.
Definition 4. ([
21])
Let * be a continuous t-norm, be a given function and M be a fuzzy set on satisfying the following conditions, for all :;
;
;
is continuous and
Then the 3-tuple is called an extended fuzzy b-metric space.
Chugh and Kumar [
33] defined the notion of fuzzy rectangular metric space as follows:
Definition 5. Let * be a continuous t-norm and M be a fuzzy set on satisfying the following conditions, for all and :
;
;
;
for all ;
is continuous and
Then the ordered triple is called a fuzzy rectangular metric space.
Mehmood et al. [
20] proposed the concept of fuzzy rectangular
b-metric space as follows:
Definition 6. Let * be a continuous t-norm, be a given real number and M be a fuzzy set on satisfying the following conditions, for all and :
- (FRbM1)
;
- (FRbM2)
;
- (FRbM3)
;
- (FRbM4)
- (FRbM5)
is continuous and
Then, the ordered triple is called a fuzzy rectangular b-metric space.
Example 2. ([
20])
Let be a rectangular b-metric space and be defined asThen is a fuzzy rectangular b-metric space with as t-norm.
Remark 2. Condition of Definition 6 can be, equivalently, stated as 3. Results
By pursuing the idea of fuzzy rectangular
b-metric space presented by Mehmood et al. [
20], we introduce the notion of extended fuzzy rectangular
b-metric space and generalize some fixed point results via
-
-
contractions.
Definition 7. Let * be a continuous t-norm, be a given function and M be a fuzzy set on satisfying the following conditions, for all and :
- (FRbM1)
;
- (FRbM2)
;
- (FRbM3)
- (FRbM4)
for all ;
- (FRbM5)
is continuous and
Then, the 3-tuple is called an extended fuzzy rectangular b-metric space.
For , Definition 7 reduces to Definition 6. In the following, we exemplify Definition 7.
Example 3. Let and define a b-metric as Let be defined as and Then, is an extended fuzzy rectangular b-metric space, where is the minimum t-norm.
As for all , for all ,
for all and
Also
,
Conditions , and trivially hold. In the following, we prove that property is valid.
Indeed, for all , we have
Similarly, it can be shown that
Hence, is an extended fuzzy rectangular b-metric space.
Definition 8. In an extended fuzzy rectangular b-metric space , we state that a sequence :
- 1.
converges to for every
- 2.
is M-Cauchy if, for every and , there is such that for every
- 3.
is G-Cauchy if for all and each .
Definition 9. An EFRbMS is G complete (resp., M complete) if every G-Cauchy (resp., M-Cauchy) sequence converges in it.
Definition 10. Let be an EFRbMS and be a mapping. Then is called α-admissible if, for all and , Definition 11. Let be an EFRbMS and be two functions. Then, is said to be α-η-admissible if, for all and , For , this definition reduces to Definition 10. is called η-subadmissible if
Definition 12. Let be an EFRbMS. Let be two functions. Then, is called an α-η-β contraction if there is some function such that, for any sequence it is satisfied the condition when , and, moreover, for all and where . Theorem 1. Let be a G-complete EFRbMS, and be an α-η-β contraction such that:
- (i)
is α-η-admissible;
- (ii)
There is some such that for all ;
- (iii)
For , if for all and , then for all .
Suppose also that M is such that
- (FRbM6)
is continuous uniformly for and uniformly for .
Then has a unique fixed point.
Proof. Define an iterative scheme
by
for
, where
is such that
Suppose that
for every
; if not, then
is a fixed point of
. From
along with the
-
-admissibility of
, we have
therefore,
Proceeding in the same way, we have
for all
Using (
3), we have
In each of the two possible cases above, it is true that
It means that
is an increasing sequence in (0, 1]. Furthermore, from (
4), it follows that
Now, we are going to prove that
is a Cauchy sequence. Suppose it is not. Then, there will be some
and
such that, for all
, there exist
where
with
being the least integer, which exceeds
and satisfying
Note that, from (
5),
for
p large. Therefore,
which is deduced if
exceeds
, or trivially obtained if both indexes are equal.
Using
, we have
Now, if
, then
and similarly for the second term. Using (
5) and (
6) and
, for
p large enough, we have, from (
7),
which is a contradiction. If
, then, by
, we obtain the same conclusion. Hence
is a Cauchy sequence. The
G-completeness of
ensures the existence of some
such that
From
, it follows that
Using the hypothesis (i) of the theorem we have, for all
,
Therefore, using
and (
8), we have
where
Using the hypotheses of the theorem along with (
5), (
10), and (
9) implies that
Hence, and is a fixed point of
To show the uniqueness, suppose that
is another fixed point of
. Then
Therefore, from (
3), it follows that
where
Finally, (
11) and (
12) imply that
which is a contradiction. Hence,
. □
Letting in the above theorem, we have the following result.
Corollary 1. Let be a G-complete EFRbMS, be an α-admissible mapping and , be two functions such that, for any and, for all and the following is satisfied:where Assume that and the following conditions hold: - (i)
There is some such that for all
- (ii)
For , if for all and
then, for all
Then, has a unique fixed point.
Corollary 2. Let be an α-admissible mapping, where is a G-complete EFRbMS and , are two functions such that, for any and, for all and the following is satisfied: Furthermore, suppose that and the following conditions hold:
- (i)
There is some such that for all ;
- (ii)
For , if for all and
, then , for all .
Then, has a unique fixed point.
For , the following corollary is deduced from the above theorem.
Corollary 3. Let be an η-subadmissible mapping, where is a G-complete EFRbMS. Let be a function such that, for any and, for all and the following statement is true:where Moreover, assume that and the following conditions hold: - (i)
There is some such that for all
- (ii)
For , if for all and
, then for all
Then, there is a unique such that .
Corollary 4. Let be an η-subadmissible mapping, be a G-complete EFRbMS and the function be such that, for any sequence and, for all , the following condition is true:where Furthermore, assume that and the following conditions hold: - (i)
There is some such that for all
- (ii)
For , if for all and
, then for all
Then has a unique fixed point.
Remark 3. Due to the definition of the sequence in the proof of Theorem 1, the condition (iii) in Theorem 1 can be replaced by the following condition:
- (iii)*
For , if for all and , then for all .
Similarly, in Corollaries 1 and 2, condition (ii) can be replaced by the following condition:
- (ii)*
For , if for all and
then for all
In Corollaries 3 and 4, the condition (ii) can be replaced by the following condition:
- (ii)*
For , if for all and
, then for all
The following example supports Theorem 1.
Example 4. Let and , , with for . It can be easily verified that is a G-complete EFRbMS. Define by Consider the mappings given, respectively, byand For , ifthen , and, for every , we have , therefore That is, is α-η-admissible. Furthermore, If satisfies that , , and hence This implies that for all
On the other hand, obviously Choose as a function such that , for , and that, for any sequence it is satisfied the condition when . Hence, , and, therefore, Note that holds since M is continuous on and , .
To summarize, all conditions of Theorem 1 are fulfilled. Clearly, is the only fixed point of .
4. α-η-ψ Contractions in Extended Fuzzy Rectangular b-Metric Spaces
Let Ψ be the collection of all continuous and non-decreasing mappings such that for all
Definition 13. Let , be an EFRbMS and be functions such that, for all and , with and . Then is called an α-η-ψ contraction.
In the following, we establish a fixed point theorem for -- contractions in EFRbMS.
Theorem 2. Let be a G-complete EFRbMS and be an α-η-ψ contraction such that:
- (a)
is α-η-admissible;
- (b)
There exists such that for all ;
- (c)
For , if for all and
, then for all .
Then, there is a unique such that .
Proof. Arguing as in the proof of Theorem 1, we have
Using (
13), we have
where
In each of the two above possible cases, it is true that
Therefore, from (
14), we have
This means that is an increasing sequence in (0,1].
Let
We prove that
Suppose there is some
for which
Letting
and using the definition of
, (
14) gives the following contradiction
Using a similar argument as the proof of Theorem 1, it can be shown that the sequence is of Cauchy type.
As
is complete, there will be some
such that
Using the
-
-
contractivity hypothesis of the theorem, we have, for all
,
Therefore, using
and (
16), and fixing
, we have
where
At this point, (
15) implies
Using the hypotheses of the theorem along with (
15), (
18) and (
17) implies that
Hence, and is a fixed point of
To show the uniqueness, suppose that
is another fixed point of
. Then
Hence,
which is not possible. Hence,
. □
Placing in Theorem 2, we obtain the following corollaries:
Corollary 5. Let be a G-complete EFRbMS, and be an α-admissible mapping such thatwhere for all and Assume that the following conditions hold: - (a)
There is some such that for all ;
- (b)
For , if for all and
, then for all .
Then, has a unique fixed point.
Corollary 6. Let be a G-complete EFRbMS, and be an α-admissible mapping such thatwhere for all and Assume that the following conditions hold: - (a)
There is some such that for all ;
- (b)
For , if for all and
, then for all .
Then, there is a unique such that .
Letting in Theorem 2, we obtain the following corollaries.
Corollary 7. Let be a G-complete EFRbMS, and be an η-subadmissible mapping such thatwhere for all and Suppose that: - (i)
There is some such that for all
- (ii)
For , if for all and
, then
Then, there is a unique for which .
Corollary 8. Let be an η-subadmissible mapping, be a G-complete EFRbMS and suppose thatwhere . Suppose also that: - (i)
There is some for which for all
- (ii)
For , if for all and
, then
Then, has a unique fixed point.
Remark 4. Similar comments given in Remark 3 apply to Theorem 2 and Corollaries 5–8.
Taking
in Corollary 6 and
in Corollary 8, we obtain the following corollary, which is the result by Mihet [
34] for EFR
bMS.
Corollary 9. Let be a G-complete EFRbMS and Assume thatwhere . Then has a unique fixed point. Example 5. Theorem 2 is also applicable to Example 4 with any continuous and nondecreasing mapping such that for all . Indeed, 5. Application to Integral Equations
Integral equations find applications in a variety of scientific fields, such as biology, chemistry, physics, or engineering. Furthermore, fuzzy integral equations constitute one of the important branches of fuzzy analysis theory and play a major role in numerical analysis. One of the approaches followed for the study of integral equations is the application of fixed point theory directly to the mapping defined by the right-hand side of the equation, or by the development of homotopy methods, which are largely considered in fixed point theory. In particular, for its connection with the study of fuzzy integral problems, we highlight a very recent paper [
35], in which the author proposes a homotopy analysis method to find an approximate solution of the two-dimensional non-linear fuzzy Volterra integral equation. We also refer the reader to [
18,
20,
23,
36,
37] for other related works.
We apply our theory of fixed point to ensure the existence of solutions to the following type of integral equations:
where
The Banach space
of all real continuous functions defined on
, with norm
for every
, can be considered as a fuzzy Banach space [
38] (for more details concerning the relation between Banach spaces and fuzzy Banach spaces, see [
39]). Consider the fuzzy metric on
given by
for all
and
, furnished with the
t-norm
defined as
for all
. Then
is a
G-complete EFR
bMS.
In the following, we discuss the existence of solutions for the integral equations of the form (
19).
Theorem 3. Let be the integral operator given bywhere and satisfies the following condition: - (i)
There exists a continuous and non-decreasing mapping with for all , such that, for all and every ,
Then, the integral Equation (19) has a solution Proof. For all
and
, we have
Hence, using Theorem 2,
P has a fixed point
, which is a solution to the integral Equation (
19). □