Abstract
Recently, k -fuzzy metric spaces were introduced by connecting the degree of nearness of two points with k parameters and the authors presented an analogue of Grabiec’s fixed-point result in k-fuzzy metric spaces along with other necessary notions. The results presented only addressed continuous mappings. For discontinuous mappings, there is no result in k-fuzzy metric spaces. In this paper, we obtain some fixed-point results stating necessary conditions for the existence of fixed points of mappings eliminating the continuity requirement in k-fuzzy metric spaces. We illustrate the hypothesis of our findings with examples. We provide a common fixed-point theorem and fixed-point theorems for single-valued k-fuzzy Kannan type contractions. As an application, we use a fixed-point result to ensure the existence of solution of fractional differential equations.
MSC:
47H09; 47H10; 46S40
1. Introduction
The fuzzy set was introduced by Zadeh []. The distance function on a fuzzy set was introduced by Kramosil and Michalek [] by applying the concept of t-norm. Later, George and Veeramani [] amended this definition to show that a fuzzy metric space (fuzzy metric space) inherited a Hausdorff topology. These measurements are particularly appealing since they have the following two benefits over traditional metrics: First, regardless of the type of distance notion being measured, values provided by fuzzy metrics are in the range . This suggests that distinct distance requirements, which may initially be in fairly different ranges, are simple to integrate when using fuzzy metrics, which bring about a common range. Thus, it is possible to merge various distance requirements in a simple manner. Second, as the value provided by using a fuzzy metric can be used immediately or understood as a fuzzy certainty level, fuzzy metrics ideally complement the application of other fuzzy approaches. This makes it possible to directly include fuzzy measures into more intricate fuzzy systems.
Grabiec [] proposed the fixed-point (fixed point) theory in an fuzzy metric space and extended the Banach and Edelstin fixed point theorems to an fuzzy metric space in the sense of Kramosil and Michalek []. We know that a Banach contraction is a continuous mapping. Thus, there arises a question about the existence of fixed points of discontinuous mappings. To answer this question, Reich [] introduced the Kannan contraction principle and also addressed the existence of fixed points of discontinuous mappings. Furthermore, because they offer a flexible framework for proving the existence and uniqueness of fixed points in MSs, Kannan mappings are crucial to mathematics. They are valuable tools for studying numerical methods, nonlinear analysis, and other scientific and technical fields. Their ability to ascertain the convergence of iterative algorithms and resolve a broad variety of mathematical and real-world issues accounts for their prominence. Actually, one of mathematics’ most notable discoveries is Kannan’s fixed-point theorem, particularly with reference to entire MSs. The theorem specifies the conditions under which a unique fixed point in such spaces can be derived in the absence of continuous mapping. This is significant since many conventional fixed-point theorems require continuity as a prerequisite. After Banach’s fixed point theorem in fuzzy metric spaces, we only had a knowledge of fixed points of continuous mapping in an fuzzy metric space. What about discontinuous ones? To answer this question and realizing the importance of Kannan’s contraction, Romaguerra [] introduced two new Kannan type fuzzy contractions in fuzzy metric spaces and proved some fixed point theorems in fuzzy metric spaces (fuzzy metric spaces). He also characterized the completeness of fuzzy metric spaces. Similarly, many authors introduced different forms of Kannan type contractions in fuzzy metric spaces [].
Recently, Gopal et al. [] extended the idea of fuzzy metric spaces and introduced a new space called k-fuzzy metric space. It is important to note that the study of a k-fuzzy metric space is more versatile than the fuzzy metric space created by George and Veeramani in 1994. We know that the fuzzy gap between two points in an fuzzy metric space is determined by how close together they are in relation to the parameter p between 0 and ∞. For illustration, we can consider p as the amount of time needed to go between two places in space, A and B. When we gauge the degree of proximity in relation to other (more than one) criteria, an interesting situation arises. Let us say we fly from Romania (labeled A) to the USA (labeled by B) using a plane, and we use several planes with different fuel efficiency to gauge how close A and B are in terms of time and fuel usage. Therefore, it follows that the degree of nearness will vary for various planes at the same time p, as well as for the same plane but for various time periods. The scenario described in the previous sentence served as the impetus for the introduction of the idea of k-fuzzy metric spaces, which is an extension and generalization of the concept of fuzzy metric spaces first proposed by George and Veeramani (1994) []. The fuzzy distance between two locations in a k-fuzzy metric space is determined by their proximity to one or more of the k parameters.
Recently, Alnaro ANTON-SANCHO provided fixed-point theorems over a compact algebraic curve [] and compact Reimann surface [,]. Gopal et al. [] highlighted the importance of this concept and proved Banach’s fixed point theorems in the setting of k-fuzzy metric spaces. Motivated by the research work done in [,,] and recognizing the significance of Kannan and Chatterjea’s contractions, in this article, we introduce different forms of Kannan contraction (Section 4 and Section 7) and Chatterjea contraction (Section 5) in a k-fuzzy metric space. Using Kannan type contraction, we provide fixed point theorems and common fixed point theorems in k-fuzzy metric spaces. We provide an application of an fixed point theorem that insures the existence of a solution of a fractional differential equation.
2. Preliminaries
In this section, we give some important definitions that are useful in proving our result.
Definition 1
([]). A continuous triangular norm or continuous t-norm is defined as a binary operation satisfying the following properties :
- (1)
- (commutative);
- (2)
- (associativity);
- (3)
- (identity law);
- (4)
- (monotonicity);
- (5)
- ∘ is continuous.
Let X be any arbitrary set, ∘ a continuous t-norm, F a fuzzy set on satisfying the following conditions for all :
Definition 2
([]). The triplet is called an fuzzy metric space if it satisfies (FM0), (FM2), (FM3), (FM4), and (FM5).
Later on, A. George and P. Veeramani modified the above definition to define a Hausdorff topology in an fuzzy metric space.
Definition 3
([]). The triplet (X, F, ∘) is called an fuzzy metric space if it satisfies (FM1), (FM2), (FM3), (FM4), and (FM6).
3. k-Fuzzy Metric Spaces
The idea of k-fuzzy metric spaces was given by Gopal et al. []. The main motivation behind this idea was to find the degree of nearness of two points with respect to more than one parameters . In this section, we highlight some properties of such spaces.
Definition 4
([]). Let X be a nonempty set, ∘ a continuous t-norm, k a positive integer, and F a fuzzy set on . An ordered triple is called a k-fuzzy metric space if the following conditions are satisfied for all ,
Definition 5
([]). A k-fuzzy metric space is an l-natural k-fuzzy metric space if there exists , such that
For simplification, we denote by .
Proposition 1
([]). Let be a k-fuzzy metric space, If , then
.
Remark 1
([]). In a k-fuzzy metric space , if
, then for each we can find s.t
When defining the k-fuzzy metric from an application standpoint, one should tend to consider the physical nature of the quantities. For instance, due to the various dimensions of these values, one is unable to use the formulas for the degree of nearness as given in the examples above if one evaluates the degree of the nearness of two points A and B in a space with respect to time and fuel required in going from A to B. An illustration of one such situation is provided below.
Example 1
([]). Let d on X be the customary distance in the Euclidean space represented by . Assume that is the amount of time and is the amount of fuel used to travel from point A to point B in X. The 2- fuzzy metric F on provided by (1) can then be used to determine how close A and B are, subject to and .
for all , , where q and w are constants selected to have appropriate physical dimensions.
Definition 6
([]). Let be a k-fuzzy metric space. A sequence in X is said to be convergent and converges to a point a in X iff for every real there exists s.t
.
Lemma 1
([]). Let be a k-fuzzy metric space. A sequence in X converges to if and only if
Definition 7
([]). Let be a k-fuzzy metric space, and be a sequence in X.
- (1)
- is called an F-Cauchy sequence if for every , there exists such that
- (2)
- is called a G-Cauchy sequence if
Remark 2.
The F-Cauchy sequence and G-Cauchy sequence are two different Cauchy sequences; see [,].
Example 2.
Let be a metric space, ∘ the product (minimum) [] t-norm, , and k a positive integer. Define a fuzzy set by
for all . Then, F is a k-fuzzy metric on []. Consider then,
Thus, Hence, is a G-Cauchy sequence but obviously, it is not an F-Cauchy sequence. Suppose on the contrary that is an F-Cauchy sequence; then,
This implies that is F-Cauchy iff it is Cauchy in the standard metric space . We know that , and it grows much when m is very large as compared to s. We infer that is not Cauchy in the standard metric space and consequently, it is not F-Cauchy in a k-fuzzy metric space on .
Definition 8
([]). Let be a k-fuzzy metric space.
- (1)
- is said to be F-complete if every F-Cauchy sequence in X converges to some
- (2)
- is said to be G-complete if every G-Cauchy sequence in X converges to some
Lemma 2.
The fuzzy metric function is non-decreasing for all .
Proof.
Suppose on the contrary that for ,
By keeping in mind the fact that and using (KF4), we have
This shows a contradiction. Hence,
□
Remark 3.
It follows from Lemma 2 that if for all , then .
Kramosil and Michalek [] initiated the concept of fuzzy metric spaces. This work provides the basis for the construction of an fixed point theory in fuzzy metric spaces. Grabiec [] initiated the fixed point theory in fuzzy metric spaces. He defined completeness on an fuzzy metric space (known as a G-complete fuzzy metric space), extended the Banach contraction principle to a G-complete fuzzy metric space, and proved the fuzzy Banach contraction theorem.
Theorem 1.
(Fuzzy Banach contraction theorem) []. Let be a complete fuzzy metric space with an additional property that
If the mapping satisfies the following inequality
then α admits a unique fixed point.
Following Grabiec’s work, many authors obtained fixed point theorems for contractive mappings in fuzzy metric spaces. In the same context, Salvador [] addressed discontinuous contractive mappings and established a new contraction principle in an fuzzy metric space.
Theorem 2
([]). (Salvador’s contraction theorem). Let be a complete fuzzy metric space. If the mapping satisfies the following inequality for
then α admits a unique fixed point.
Gopal et al. [] generalized and extended the concept of fuzzy metric spaces by adopting the concept of degree of nearness of two points subject to more than one parameters and introduced the notion of k-fuzzy metric spaces. Gopal et al. [] proved that a k-fuzzy metric space was a countable and Hausdorff topological space. Finally, by extending the idea of Grabiec, they initiated an fixed point theory in k-fuzzy metric spaces and obtained two important fixed point theorems.
For simplification, we write
Theorem 3
([]). Let be a G-complete k-fuzzy metric space and be a mapping satisfying the following condition:
for all , and is a constant. Suppose that is an l-natural k-fuzzy metric space. Then, α admits a unique fixed point.
Definition 9
([]). Let be a k-fuzzy metric space. A mapping is called a k-fuzzy contraction mapping if
for all is a constant
Theorem 4
([]). (k-Fuzzy contraction theorem) Let be a G-complete k-fuzzy metric space and a k-fuzzy contraction mapping. Then, α admits a unique fixed point.
4. Fixed Points of (1k) and (1/2k)-Fuzzy Contractions
In this section, we extend Gopal et al.’s idea to define and -fuzzy contractions and prove an fixed point result in k-fuzzy metric spaces by eliminating the continuity requirement that was a necessary assumption for existing fixed point theorems in k-fuzzy metric spaces []. We provide an example to show that every (1k)-fuzzy contraction need not be (1/2k)-fuzzy contraction. We begin by the definition of a k-fuzzy contraction in a k-fuzzy metric space.
Let
Definition 10.
Let be a k-fuzzy metric space. We say that mapping is a (1k)-fuzzy contraction on X if for any there exist a constant such that
We say that a mapping is a -fuzzy contraction on X, if for any there exist a constant such that
Remark 4.
Every -fuzzy contraction is a -fuzzy contraction but the converse needs not be true.
Now, we prove the main result of this paper.
Theorem 5.
Every (1k)-fuzzy contraction on a complete k-fuzzy metric space admits a unique fixed point.
Proof.
We know that is a complete k-fuzzy metric space and is a -fuzzy contraction; then, there exist and such that
for all . By (2), we can infer that
Replacing a with b in (5), we obtain
By (5) and (6), we can infer that
Repeating these steps n times, we have
Let . We define the sequence by
We show that is a Cauchy sequence in .
For this purpose, for a given and , there exists such that for all . Suppose that ; then, we can have for some , and consequently, we have the following information:
This implies that is a Cauchy sequence in . By the completeness of , we infer that there is a s.t the sequence converges to z and by definition of a convergent sequence, there exists s.t
Now, we show that z is an fixed point of . Let s.t . By induction, we show that for each ,
With no loss of generality, suppose that and for each , define
Let . Then, we have
and
By Lemma 2 and (4), we obtain
Since converges to z for any , there exists such that
Thus,
This implies that
Therefore, the inequality in (8) holds for . Now, suppose that the inequality in (8) holds for , that is,
and we show that the inequality in (8) is also true for . Since is a Cauchy sequence, there exist s.t
By (1), we obtain
Since , by (10), we have the following inequality:
For any , we have satisfying
This shows that
Hence, the induction method assures that the inequality in (8) holds for all . Now, for a given , there exists s.t , and we have
This implies that ; hence, z is an fixed point of . Now, we show that z is unique. On the contrary, let be two distinct fixed points. Then, by (2),
This implies . This completes the proof. □
Corollary 1.
Every (1/2k)-fuzzy contraction on a complete fuzzy metric space admits a unique fixed point.
We give an important example of a (1k)-fuzzy contraction for that is not a (1/2k)-fuzzy contraction.
Example 3.
Let and let d be a usual metric on A. Define a function by
Then, is a k-fuzzy metric on A for a continuous t-norm ∧, and hence is a complete k-fuzzy metric space. Define , as for all and for all We first show that α is not a (1/2k)-fuzzy contraction. Choose . Take , and , then , so
However,
Since ,
Thus, α is not a (1/2k)-fuzzy contraction on A. Now, we prove that α is a (1k)-fuzzy contraction for . We divide it into three cases:
Case 1. ; then, for any ,
Case 2. ; if , we have so
If and assuming that
(otherwise (Definition 10) has no meaning)
we deduce that and , so we obtain
Case 3. Let ; we assume that ; if , we have . Thus,
Now, if and assuming that
(otherwise (Definition 10) has no meaning) we deduce that and , so we obtain
Thus, (2) is satisfied for all cases, and hence α is a (1k)-fuzzy contraction on A.
5. Fixed Points of (1c) and (1/2c)-Fuzzy Contractions
In this section, we extend Gopal et al.’s idea to define and -fuzzy contractions and prove a related fixed point result in k-fuzzy metric spaces.
Definition 11.
Let be a k-fuzzy metric space. We say that mapping is a (1c)-fuzzy contraction on X if for any there exists a constant such that
We say that a mapping is a -fuzzy contraction on X, if for any there exists a constant such that
Proposition 2.
If α is a (1c) contraction on k-fuzzy metric space , then the sequence defined by for is a Cauchy sequence.
Proof.
Let be a k-fuzzy metric space and a -fuzzy contraction; then, there exist and such that
for all . By (12), we can infer that
Replacing a with b in (13), we obtain
By (14) and (15), we can infer that
Repeating these steps n times, we have
Let be an arbitrary initial guess. We define the sequence by
We show that is a Cauchy sequence in .
For this purpose, for a given , and , there exists such that for all . Suppose that ; then, we can have for some , and consequently, we have the following information:
This shows that is a Cauchy sequence in . □
Remark 5.
Let be a metric space and a k-fuzzy metric space. For each . Put
Then, satisfies the following condition
Proposition 3.
Every (1/2c) contraction on a complete k-fuzzy metric space has a unique fixed point but its converse may or may not be true.
Proof.
Let be a contraction (with ) on a complete k-fuzzy metric space. We show that is a classical Chatterjea contraction on the complete metric space as constructed in Remark 5. Indeed, let satisfy . Then,
Thus, by Remark 5
Hence, . Thus,
We have proved that is a classical Chatterjea contraction on , so it has a unique fixed point. Now, conversely, since is a classical Chatterjea contraction, the metric space associated with this is complete, but we cannot tell anything about the k-fuzzy metric space. □
Remark 6.
The results discussed in (Theorem 5) and (Proposition 3) weaken the conditions assumed in [] by considering discontinuous mappings. Moreover, the results presented in [] are a special case of (Theorem 5) and (Proposition 3) .
Example 4.
Let be a metric space where and . Define by
and fix . Define by
We check that α is a (1/2c) contraction on with . Indeed, let such that
Suppose that . Then, . There are two cases:
Case 1. .
Since , by , we have . Thus, . Since, by hypothesis, , we deduce that is a contradiction.
Case 2. .
By . Since, by hypothesis, , we deduce that is a contradiction. We conclude that , so α is a contraction on .
6. Fixed Points of Generalized k-Fuzzy Contractions
In this section, we extend Gopal et al.’s idea to define a generalized -fuzzy contraction and prove a related fixed point result in k-fuzzy metric spaces.
Definition 12.
Let X be a nonempty set, F a fuzzy set, and a minimum t-norm; then, is a k-fuzzy metric space. We say that the mapping is a generalized -fuzzy contraction if there exist and such that
for all .
Before presenting the proof of the main result, we need the following lemma.
Lemma 3.
Let be a sequence in k-fuzzy metric space . If there exist such that
and
then is a Cauchy sequence provided .
Proof.
Theorem 6.
Let and be a generalized -fuzzy contraction defined on a complete k-fuzzy metric space . Suppose that there exists such that
Then, h has a unique fixed point.
Proof.
Let and be a Picard iterative sequence given by
Substituting in (17), we have
, if we choose
we obtain
which is a contradiction. Thus, for all
By (Lemma 3), it follows that is a Cauchy sequence. Since is complete, there exists . We show that is a fixed point. Suppose on the contrary that . Put in (17)
By applying limit , we obtain for ,
This is a contradiction. Hence, is an fixed point of h.
7. Common Fixed Point for k-Fuzzy Kannan Contraction
In this section, we generated a fixed point and a common fixed point solution for a k-fuzzy kannan contraction in the context of k-fuzzy metric spaces.
Definition 13.
Let be a complete k-fuzzy metric space. A self-mapping is called a k-fuzzy Kannan contraction of type-I if
with , for all
The primary outcome about the common fixed point for two single-valued mappings within the context of k-fuzzy metric spaces is as follows.
Theorem 7.
Suppose is a complete k-fuzzy metric space. Let be self-mappings s.t
for . Then, Q and R have at most a common fixed point in X.
Proof.
Suppose , and define the sequence by
for Using (21) and (22), we can write
This implies
where , since . Similarly,
Continuing in this manner, we obtain
for all
Repeating the above steps, we deduce
Hence,
. Taking (23) into account, we deduce
Since , we must have
Hence,
for all . This means that is a Cauchy sequence in X. Since is complete, there exists such that
To prove c is an fixed point of Q, assume .
as . We arrive at
Since , i.e., . Similarly, we suppose that , and we have
as . We arrive at
Since , i.e., .
Now, let be any fixed point of Q and R, i.e., . Then,
□
The convergence result for a type-I k-fuzzy Kannan contraction for a single-valued mapping Q is given below.
Corollary 2.
Suppose is a complete k-fuzzy metric space. Let be a self-mapping such that
with , for all . Then, there is only one fixed point in X for map T.
The common fixed point solution that is given below is based on the k-fuzzy Kannan contraction of type II within a k-fuzzy metric setup for two mappings Q and R.
Corollary 3.
Suppose is a complete k-fuzzy metric space. Let be self-mappings s.t
for all . Then, Q and R have at most one common fixed point in X.
Proof.
The convergence result of a single mapping T for a k-fuzzy Kannan contraction of type II is given below.
Theorem 8.
Suppose is a complete k-fuzzy metric space. Let be self-mappings. Suppose that such that
for all . Then, R has at most one common fixed point in X.
8. Existence of a Solution of Fractional Differential Equations
Physical systems having continuous distributions or interactions can be modeled and analyzed with the help of fractional differential equations or FDEs. They are often used to describe phenomena in more depth than differential equations can or to determine connections between numbers in engineering research. They provide a structure for understanding complex behaviors and interactions found in a range of engineering systems. There are several uses for implicit differential equations in engineering research, especially FDEs. This section establishes the existence of distinct FDE solutions in a k-fuzzy environment. There are several uses for these kinds of differential equations across numerous fields. Let us begin by going over the fundamental vocabulary used in fractional calculus. The Riemann–Liouville fractional derivative of order for a function is written as follows:
Let us now consider the following FDE
where f is a continuous function on is the Caputo fractional derivative having order , defined by
Denote Y the space of all continuous functions taken on the interval . Define a metric d on Y by
Then, is a complete MS. Then, binary operation ∘ is defined by the product .
A standard k-fuzzy metric F is given by
for . Then, it can be easily verified that F is triangular and is a complete fuzzy metric space.
Theorem 9.
Consider the nonlinear FDE (27). If the following conditions are met,
- (i)
- For , the following is true
- (ii)
- There exits , with
Then, FDE (27) has necessarily at most one solution in Y.
Proof.
The equivalent IE for FDE (27) is the following
for all and , where
If the map defined by
where is an fixed point, then is a solution of Equation (27). Taking into account the given conditions, for , we infer
This shows that
Using , we can write
The above expression can be written as
for all . This shows that T satisfies the k-fuzzy contraction of Theorem (8). Hence, T admits a unique fixed point in Y, implying that FDE (27) has a unique solution. □
9. Conclusions
We developed a new iterative method to show that the constructed sequence subject to a new fuzzy contraction was a Cauchy sequence. We adopted the new iterative method to obtain the fixed point’s existence results for different k-fuzzy contractions. This methodology is useful to write new results for advanced k-fuzzy contractions. The main fixed point results proved in this research article state the necessary conditions for the existence of fixed points of mappings eliminating the continuity requirements in k-fuzzy metric spaces. The significance of these results is that they do not require a continuity condition unlike many conventional fixed points that require continuity as prerequisite. It is important to note that the study in k-fuzzy metric spaces is more versatile than that in fuzzy metric spaces. We know that the fuzzy distance between two points is determined by how close they are in relation to one parameter p, but the distance in a k-fuzzy metric space is determined by k parameters. Thus, the results proved in this article can provide a base for new research in k-fuzzy metric spaces and their application provides valuable tools for studying numerical methods, nonlinear analysis, and other scientific and technical fields. As an application, we applied the result to obtain the solution of an FDE.
Author Contributions
M.N. tabled the main idea of this paper; S.A. wrote the first draft of this paper; M.N. and A.H. reviewed and prepared the second draft; H.H.A. supervised the project. All authors have read and agreed to the published version of the manuscript.
Funding
The author thanks to the employer King Abdul Aziz University (P.O Box 80203, Jeddah 21589, Saudi Arabia) and Deanship of Scientific Research GPIP: 220-130-2024 for their financial support and encouragement.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
No data were involved in this research.
Conflicts of Interest
The authors declare that they have no competing interests.
References
- Zadeh, L.A. Fuzzy Sets. Inf. Control 1965, 8, 338–353. [Google Scholar] [CrossRef]
- Kramosil, I.; Michalek, J. Fuzzy metric and statistical metric spaces. Kybernetica 1975, 15, 326–334. [Google Scholar]
- George, A.; Veeramani, P. On some results in fuzzy metric spaces. Fuzzy Sets Syst. 1994, 64, 395–399. [Google Scholar] [CrossRef]
- Grabiec, M. Fixed points in fuzzy metric spaces. Fuzzy Sets Syst. 1988, 27, 385–389. [Google Scholar] [CrossRef]
- Reich, S. Kannan’s fixed point theorem. Boll. Un. Mat. Ital. 1971, 4, 1–11. [Google Scholar]
- Romaguerra, S. A Fixed Point Theorem of Kannan Type That Characterizes Fuzzy Metric Completeness. Filomat 2020, 34, 4811–4819. [Google Scholar] [CrossRef]
- Youunis, M.; Arfah, A.N.A. Noval Fuzzy contractions and Applications to Engineering Science. Fractal Fractions 2024, 8, 28. [Google Scholar] [CrossRef]
- Gopal, D.; Wutiphol, S.; Abhay, S.; Satish, S. The investigation of k-fuzzy metric spaces with the contraction principle in such spaces. Soft Comput. 2023, 27, 11081–11089. [Google Scholar] [CrossRef]
- Anton-Sancho, A. Fixed points of Principal E6-Bundels over a Compact Algerbric Curve. Quaest. Math. 2024, 47, 501–513. [Google Scholar] [CrossRef]
- Anton-Sancho, A. Fixed Points of Involutions of G-Higgs Bundle Moduli Spaces over a Compact Reimann Surface with Classical Complex Structure Group. Front. Math. 2024. [Google Scholar] [CrossRef]
- Anton-Sancho, A. Fixed Points of Automorphism of Vector Bundle Moduli Space over a compact Reimann Surface. Mediterr. J. Math. 2023, 21, 20. [Google Scholar] [CrossRef]
- Schweizer, B.; Sklar, A. Statistical Metric Spaces. Pac. J. Math. 1960, 10, 313–334. [Google Scholar] [CrossRef]
- Gregori, V.; Sapena, A. On fixed point theorems in fuzzy metric spaces. Fuzzy Sets Syst. 2002, 125, 245–252. [Google Scholar] [CrossRef]
- Vasuki, R.; Veeramani, P. Fixed point theorems and Cauchy sequences in fuzzy metric spaces. Fuzzy Sets Syst. 2003, 135, 415–417. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).