Abstract
In this paper, we introduce the concept of fuzzy-controlled bipolar metric space and prove some fixed-point theorems in this space. Our results generalize and expand some of the literature’s well-known results. We also provide some applications of our main results to integral equations.
Keywords:
fixed point; fuzzy-controlled bipolar metric space; fuzzy bipolar metric space; fuzzy metric space MSC:
54H25; 47H10
1. Introduction
A fuzzy set is a collection of objects with a continuum of grades of membership function that assigns to each object a value ranging between zero and one. In 1960, Schweizer and Sklar [1] introduced the concept of continuous triangular norm. In 1965, fuzzy set theory was scrutinized by Zadeh [2]. In 1975, Kramosil and Michálek [3] provided a basic introduction to the concept of fuzzy metric space, which is an extension of the statistical (probabilistic) metric space. This list provides the best foundation for the development of fixed-point theorem in fuzzy metric spaces. Afterward, in 1988, Grabiec [4] described the completion postulate of fuzzy metric space (now referred to as G-complete fuzzy metric space [5]). The result of the Banach contraction was then extended into G-complete fuzzy metric spaces. George and Veeramani [6] altered the definition of the Cauchy sequence instigated by Grabiec [4] because even R is not complete according to Grabiec’s criterion of completion. Mutlu and Gurdal [7] introduced bipolar metric space as a kind of partial distance. We provide bipolar metric spaces, for the most part in the context of completeness, and prove some adjunctions of known fixed-point theorems. Bartwal et al. [8] initiated the definition of fuzzy bipolar metric space and proved some fixed-point theorems. In 2022, Tanusri Senapati, Ankush Chanda, and Vladimir Rakocevic [9] promoted the concept of weak orthogonal metric spaces as a generalization of orthogonal metric spaces.
Recently, Sezen [10] provided an idea regarded controlled fuzzy metric spaces and proved some related fixed-point results. Rakesh Tiwari and Shraddha Rajput [11] introduced the notion of bipolar-controlled fuzzy metric spaces. The above analysis shows that there are several works on fixed-point theory based on the previous two types of complete fuzzy metric space [12,13,14,15,16,17,18,19,20].
2. Preliminaries
Now, let us recall some basic definitions and lemmas that are used in this article. Schweizer and Sklar [1] introduced the notion of a continuous ℵ-norm as:
Definition 1.
A binary operation is said to be a continuous -norm(continuous triangular norm) such that
- 1.
- * is commutative and associative;
- 2.
- * is continuous;
- 3.
- for every ;
- 4.
- whenever and .
Kramosil and Michalek [3] introduced the concept of fuzzy metric space as follows:
Definition 2.
([3]). Let . The triplet is called a fuzzy metric space (FMS) if a fuzzy set (F set) Γ is on , and * represents a continuous -norm, such that ∀ and ;
- (i)
- ;
- (ii)
- iff ;
- (iii)
- ;
- (iv)
- ;
- (v)
- is continuous.
The notion of a fuzzy bipolar metric space was introduced by A. Bartwal, R. C. Dimri and G. Prasad [8] as follows:
Definition 3.
([8]). Let Θ and Ψ be two nonvoid sets. A quadruple is called a fuzzy bipolar metric space (FBMS), where * is a continuous -norm and an F set is on , such that ∀ :
- (FB1)
- for all ;
- (FB2)
- iff for all and ;
- (FB3)
- for all ;
- (FB4)
- for all and ;
- (FB5)
- is left continuous;
- (FB6)
- is nondecreasing for all and .
Following this definition is an extended version of Definition 2.2 from fuzzy bipolar metric space to the fuzzy-controlled bipolar metric space setting.
Definition 4.
Let Θ and Ψ be two nonvoid sets and . A quadruplicate is called a fuzzy-controlled bipolar metric space (FCBMS), where * is a continuous -norm and an F set is on , such that ∀ :
- (FCB1)
- for all ;
- (FCB2)
- iff for all and ;
- (FCB3)
- for all ;
- (FCB4)
- for all and ;
- (FCB5)
- is left continuous;
- (FCB6)
- is nondecreasing for all and .
We present two examples from fuzzy-controlled bipolar metric spaces as follows:
Example 1.
Let , and a mapping defined by . is defined by
for all and . Then is an FCBMS with the continuous -norm ★ such that . Now, and .
Axioms (FCB1) to (FCB3) and (FCB5), (FCB6) are easily verified; now, we prove (FCB4). Let and . Then
Then,
So,
Proceeding this way, is an FCBMS.
Example 2.
If we use the minimal -norm rather than the product -norm in Example 1, then is not an FCBMS. For instance, let , and with , then
and
Clearly,
is not an FCBMS with a minimum -norm.
Furthermore, let us recall the definitions of a bisequence, Cauchy bisequence (CBS), complete bisequence, and some lemmas in the setting of fuzzy-controlled bipolar metric spaces:
Definition 5.
Let be an FCBMS. Then:
- (i)
- A sequence is named a bisequence on .
- (ii)
- A bisequence on FCBMS is called a CBS if for each , we can find satisfying as for all , .
Definition 6.
The FCBMS is called complete if every CBS is convergent.
Lemma 1.
([8]). Let be an FBMS such that
for all and . Then .
Lemma 2.
Let be an FCBMS such that
for all and . Then .
Proof.
Definition 7.
A point is called a fixed point for the mapping Π on if .
Sezen [10] proved the following fixed-point theorem for fuzzy-controlled metric space:
Theorem 1.
Let be a fuzzy-controlled metric space with and suppose that
for all If satisfies:
for all where Additionally, assume that for every we obtain and exist and are finite. Then, g has a unique fixed point in
Mihet [16] introduced the class of mappings as follows:
Definition 8.
Let Ψ be the class of all maps such that ψ is non-decreasing, continuous, and If , then and
Theorem 2.
Let be a controlled fuzzy metric space and be a mapping satisfying
for all and Then, g has a unique fixed point in
In this study, motivated by the results of Mutlu, A., Gürdal, U. [7], Bartwal, A., Dimri, R. C., Prasad, G. [8] and Sezen [10], we proved a fixed-point theorem for fuzzy-controlled contraction mappings in bipolar metric spaces.
3. Main Results
First, we generalize and improve upon Sezen’s [10] Theorem 1 for fuzzy-controlled bipolar metric space.
Theorem 3.
Let be a complete FCBMS with such that
Let be a mapping satisfying
- (i)
- and ;
- (ii)
- and , where .
Additionally, assume that for every ,
Then Π has a unique fixed point.
Proof.
Let and . Then and , ∀ . Therefore, is a bisequence on FCBMS . Now,
for all and . Then,
and
for all and .
Let . Then,
Now applying (4) and (5) on each term of the RHS of the above inequality, we obtain
From (3), as , we get
Therefore, the bisequence is a CBS. Because is a complete space, the bisequence . Then, and , where . From (FCB4), we derive
for all and and as ,
Therefore, . Let is another fixed point of . Because
for and ∀ . Hence, . □
The following example supports Theorem 3.
Example 3.
Let , and be a mapping defined by . Define
Clearly, is a complete FCBMS, where * is a continuous -norm defined as . Define by
for all . Clearly, and . Let and , then
Now,
Therefore, all the conditions of Theorem 3 are satisfied. Hence, Π has a unique fixed point, i.e., .
We prove the following result to modify the hypothesis of Theorem 3 as follows:
Theorem 4.
Let be a complete FCBMS with such that
Let be a mapping satisfying
- (i)
- and ;
- (ii)
- and , here .
Additionally, assume that for every ,
Then Π has a unique fixed point.
Proof.
Let and . Then, and for all . Therefore, is a bisequence on FCBMS . Now,
for all and . Then,
and
for all and . Let . Then,
Now, applying (7) and (8) on each term of the RHS of the above inequality, we obtain
From (6), as , we obtain
Therefore, the bisequence is a CBS. Because is a complete space, the bisequence is a convergent bisequence. Then, and , where . Because
for all and and as ,
Therefore, . Let is another fixed point of . Because
for and ∀ . Hence . □
We demonstrate our results with an example.
Example 4.
Let , , and be a mapping defined by . Define
Then, is a complete FCBMS with product -norm. Define by for all . and . Let and , then
Now,
exist and are finite. Therefore, all the hypotheses of Theorem 4 are fulfilled. Hence, Π has a unique fixed point, i.e., .
Here, we prove the following theorem to modify the condition of Theorem 3 with an increasing function. This theorem is an extension of Theorem 2 of Sezen [10] as follows:
Theorem 5.
Let be a complete FCBMS with and a mapping satisfying
- (i)
- and ;
- (ii)
- For and , where is an increasing mapping such that and ∀ .
Additionally, assume that for every ,
Then Π has a fixed point.
Proof.
Let and . Then and for all . Therefore, is a bisequence on FCBMS . From (FCB2) for all and condition (ii) from Theorem 5, we obtain
and
Letting , for , then
Now, applying (9) and (10) on each term of the RHS of the above inequality, we have
As , ∀ . Applying the same lines of the proof of Theorem 3, then is a fixed point of . Because , for all and . Therefore, , which means that . □
The following example is provided to demonstrate Theorem 5.
Example 5.
Let for all , and be a mapping defined by . Define
Then, is a complete FCBMS. A self-map Ψ on is defined by . Let be a mapping such that . Then, all the hypotheses of Theorem 5 are fulfilled. Hence, is a fixed point of Π.
Finally, we prove the following theorem to modify the condition of Theorem 5 as follows:
Theorem 6.
Let be a complete FCBMS with , and a mapping satisfying
- (i)
- and ;
- (ii)
- For and .
Additionally, assume that for every ,
Then, Π has a fixed point.
Proof.
The Theorem proof follows from Theorems 4 and 5. □
4. Application
In this section, we prove the existence of solution for the integral equation. In the literature, the solution of fixed-point theorem through integral equation in fuzzy bipolar metric space was initiated by Gunaseelan Mani, Arul Joseph Gnanaprakasam, Haq Absar Ul, Jarad Fahd, and Baloch Imran Abbas [13,15]. Motivated by the above work, we obtained the solution to the integral equation in the fuzzy-controlled bipolar metric space setting by using Theorem 3.
Consider the integral equation
where is a Lebesgue measurable set, and
- (T1)
- and ,
- (T2)
- There is a continuous function and such thatfor all ,
- (T3)
- .
Define the mapping by
for all . Define as a mapping defined by . Then, is a complete FCBMSs.
Theorem 7.
Under assumptions –, the integral equation has a unique solution in .
Proof.
Let and be two normed linear spaces, where are Lebesgue measurable sets, and .
Define the mappings by
Now,
Hence, all the hypotheses of Theorem 3 are verified; consequently, the integral equation has a unique solution. □
5. Conclusions
In this study, we introduced a new class of controlled bipolar metric spaces in a fuzzy environment, in which the triple-controlled bipolar metric space was used. On the foundation of this variety of controlled bipolar metric spaces, we additionally proved some fixed-point theorems in FCBMSs. In order to strengthen the main results, an additive example and supportive application was also presented. In [20], fixed-point theorems without continuity were provied by using triangular property in FMSs by Shamas et al. It is an interesting open problem to study the triangular property in FCBMSs and obtain fixed-point results on the triangular property in FCBMSs.
Author Contributions
Conceptualization, G.M., A.J.G., S.K. and O.E.; Validation, S.K.; Investigation, G.M., A.J.G. and S.K.; Writing—original draft, G.M., A.J.G. and O.E.; Writing—review & editing, O.E. and M.D.l.S.; Supervision, O.E.; Project administration, O.E. and M.D.l.S.; Funding acquisition, M.D.l.S. All authors have read and agreed to the published version of the manuscript.
Funding
The authors thank the Basque Government for its support of this study through grant IT1555-22.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
No data were used to support this work.
Conflicts of Interest
The authors declare that they have no competing interests.
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