1. Introduction
The fixed-point theory is a fast-growing and exciting field of mathematics with various applications in diverse areas of mathematics, including nonlinear analysis. It stems from the Banach contraction principle, which was proved in 1922 in a metric space setting [
1]. Numerous expansions of the Banach Theorem appeared, which led to the generalization of the notion of classical metric spaces, such as the concept of
b-metric spaces by Bakhtin [
2], expanded
b-metric spaces by Kamran et al. [
3], controlled metric-type spaces by Mlaiki et al. [
4], which was later developed into double-controlled metric-type spaces by Abdeljawad et al. [
5], and double-controlled quasi metric-like spaces by Haque et al. [
6]. Recently, Azmi [
7] produced some fixed-point results on double-controlled metric-type spaces by utilizing the (
-
)-contractive mappings. Lately, a new geometric generalization of the fixed-point theory appeared as the fixed-circle problem [
8,
9,
10,
11].
In 1965, Zadeh proposed the fuzzy set theory [
12] as a natural extension of the concept of a set and established the groundwork for fuzzy mathematics, and the interest in the fuzzy set has grown since then. Combining the probabilistic metric space with the fuzzy set, a new concept of fuzzy space was introduced in [
13], with applications in applied sciences, such as signal processing and medical imaging, and in a variety of mathematical disciplines, such as topology, logic, analysis, algebra, artificial intelligence, and fixed-point theory. Many authors have used fuzzy sets extensively in many branches of mathematics. For instance, Puri and Ralescu [
14] introduced the differentials of fuzzy functions, whereas Buckley and Feuring [
15] established the theory of fuzzy partial differential equations, and Kaleva [
16] pioneered fuzzy differential equations. Fuzzy metric spaces are one of the most studied topics in fuzzy set theory, introduced by Kramosil and Michalek [
17]. Afterward, many authors extended the fuzzy metric space notion and developed it in various directions. For example, George and Veeramani [
18] modified the notion of fuzzy metric space and illustrated that every fuzzy metric produces a Hausdorff topology. Nadaban introduced the concept of fuzzy
b-metric space [
19], and some fixed-point results in fuzzy
b-metric space were carried out by Kim et al. [
20]. Then, Mehmood et al. [
21] defined the concept of extended fuzzy
b-metric space and established the contraction principle. Afterward, Saleem et al. presented the concept of fuzzy double-controlled metric space and illustrated the Banach contraction principle [
22], while in [
23] they examined the notion of extended
b-rectangular and controlled rectangular fuzzy metric-like spaces. The fixed-point results on fuzzy triple-controlled metric spaces were explored by Furqan et al. [
24]. The
-admissible mappings and the notion of (
-
)-contractive mappings on complete metric spaces with various fixed-point theorems were developed by Samet et al. [
25]. Motivated by Samet’s work, Gopal and Vetro [
26] discussed the concept of (
-
)-fuzzy contractive mappings and established some fixed-point results.
Inspired by the work of Gopal and Vetro [
26], we introduce the notion of (
-
)-fuzzy contractive mappings on fuzzy double-controlled metric spaces and establish some fixed-point results.
2. Preliminaries
We recall some notions and definitions which will be needed in the sequel.
Definition 1 ([27]). A binary operationis a continuous t-norm if it satisfies the following conditions: - 1.
* is commutative and associative.
- 2.
* operation is continuous.
- 3.
for all.
- 4.
, ifand, for all.
Next, we recall the definition of fuzzy metric space as stated by George and Veeramani [
18].
Definition 2. Letbe a nonempty set. A fuzzy metric space is a triple, where ∗ is a continuous t-norm andis a fuzzy set on, satisfying the following, for all:
() for all ;
() for all , if and only if ;
() , symmetric in ζ and ξ, and for all ;
() is continuous;
() for all and for all
A more general concept of a fuzzy metric space is the fuzzy
b-metric space [
19].
Definition 3. Let be a nonempty set, given any real number , let ∗ be a continuous t-norm. A fuzzy set on is called a fuzzy b-metric on , if for all , and , the following conditions hold:
() ;
() , if and only if ;
() , symmetric in ζ and ξ for all ;
() ;
() is continuous.
The quadruple is called a fuzzy b-metric space.
Next, we define the notion of fuzzy double-controlled metric space [
22].
Definition 4 ([22]). Consider two non-comparable functions , defined on a nonempty set , and let ∗ be a continuous t-norm operation. A fuzzy set on is called a fuzzy double-controlled metric on , if for all the following conditions hold: () for all ;
() for all , if and only if ;
() , symmetric in ζ and ξ, and for all ;
() , for all ;
() is continuous.
Then, is called a fuzzy double-controlled metric space. From now on, the class of fuzzy double-controlled metric space will be denoted as .
Remark 1. The class of fuzzy double-controlled metric space is larger than the class of fuzzy b-metric spaces, as one can see by taking . Moreover, the class of fuzzy b-metric spaces is effectively larger than that of fuzzy metric spaces, taking .
Example 1 ([22]). Let , and define by and . Let Then, is an with product t-norm.
Axioms () to () and () are straightforward; we only prove (). Note Thus, is an , which is not a fuzzy b-metric space, because .
The next example illustrates a fuzzy b-metric space which is not a fuzzy metric space.
Example 2. Let and let . Define Then, is a fuzzy b-metric space which is not a fuzzy metric space.
Axioms () to () and () are straightforward; we only prove (). Note that This shows that is a fuzzy b-metric space which is not a fuzzy metric space.
Next, we define the concept of sequence convergence in and the notion of the open ball in this topology.
Definition 5. Let be an . Then, the following:
(1) A sequence converges to , if for all .
(2) A sequence is called Cauchy, if for each and .
(3) is called complete , if every Cauchy sequence is convergent.
(4) The open ball with center , radius , and is defined as follows: Remark 2. The topology in the fuzzy metric space is different from the topology in the metric space because the definition of the open balls is different in both spaces. For instance, if is any metric space, then a circle with center is defined aswhile the open ball with center is defined aswhich is different from the way the open ball is defined in Definition 5. Definition 6 ([28]). Let be an . The fuzzy double-controlled metric is said to be triangular if the following condition holds:for all and for all . Next, we state a lemma which is useful in proving our results, for details consult [
22].
Lemma 1. Let be a Cauchy sequence in an such that whenever with . Then, the sequence can converge to at most one limit point.
3. The Main Results
Inspired by Gopal and Vetro [
26], who introduced the concept of (
-
)-fuzzy contractive mapping on fuzzy metric spaces, we introduce two concepts:
-admissible mappings and (
-
)-fuzzy contractive mappings on fuzzy double-controlled metric space
as follows:
Definition 7. Let be an . We say is α-admissible if there exists , such that for all , Let denote the family of all right continuous functions with for all
Remark 3. Note that for any , then , for all , where is the n-th iterate of ψ.
Definition 8. Let be an , and we say is an (α-ψ)-fuzzy contractive mapping if there exists two functions and such thatfor all and for all . We now state and prove our first main finding.
Theorem 1. Let be a complete , where are two non-comparable functions (for some . Let be an (α-ψ)-fuzzy contractive mapping, for some , satisfying the following conditions:
- (1)
T is α-admissible;
- (2)
There exists such that for all ;
- (3)
T is continuous;
- (4)
For any , bothwhere the sequence is defined as , for some .
Then, T admits a fixed point, i.e., there exists some such that .
Proof. Let so that for all , and we have a sequence in with , for all .
Note that if for some , then this implies that is a fixed point of the mapping T. Thus, without loss of generality, we may assume that for all .
From the hypotheses we have that
, as
T is
-admissible, this implies that
. By induction, we can easily deduce
Thus, utilizing Equation (
5), and Equation (
3), we obtain
Considering the limit as
n goes to infinity in Equation (
6) and using the fact that
with
, we obtain
For any
, with
, then
Taking the limit as
in the above inequality and using Equation (
7) and Equation (
4), we obtain
This implies that the sequence
is a Cauchy sequence in
, as
is a complete
, so there exists some
such that
, i.e.,
The continuity of
T implies that
i.e.,
, for all
. Thus, we have
This yields , and by Lemma 1 we obtain , so is a fixed point of T □.
As a special case, if we let , then Theorem 1 provides a proof for the case of complete fuzzy b-metric space as shown in the next corollary.
Corollary 1. Let be a complete fuzzy b-metric space, let be an (α-ψ)-fuzzy contractive mapping, for some , satisfying the following conditions:
- (1)
T is α-admissible;
- (2)
There exists such that for all ;
- (3)
T is continuous.
Then, T has a fixed point, i.e., there exists some such that .
Proof. By taking in Theorem 1 and repeating the same steps of the proof. Thus, T has a fixed point because it meets all the requirements of Theorem 1. □
It should be observed that Theorem 1 is an extension of Theorem 3.5 in [
26], because taking
, the fuzzy double-controlled metric space becomes fuzzy metric space. In addition, Corollary 2 provides an alternative proof for Theorem 3.5 in [
26].
Corollary 2. Let be a complete fuzzy metric space, let be an (α-ψ)-fuzzy contractive mapping, for some , satisfying the following conditions:
- (1)
T is α-admissible;
- (2)
There exists so that ;
- (3)
T is continuous.
Then, T admits a fixed point, i.e., some can be found so that .
Proof. By taking in Theorem 1 and repeating the proof. Thus, T has a fixed point, because it fulfills every requirement of Theorem 1. □
The following is a supporting example for the main Theorem 1.
Example 3. Let , and the control functions are defined as and . Define the fuzzy set by Then, one can easily show that is a complete fuzzy double-controlled metric space, and we will verify condition (FD4) only. Note that Let , , and be defined as , and It is easy to see that T is α-admissible and continuous, because for , with , then
To illustrate that T is (α-ψ)-fuzzy contractive mapping, we have to show (Equation (3)) holds: Thus, T satisfies the hypothesis of Theorem 1; hence, there exists a fixed point , such that .
In the next theorem, we replace the continuity hypotheses of T in Theorem 1 with another regularity hypothesis.
Theorem 2. Let be a triangular complete , where are two non-comparable functions (. Let be an (α-ψ)-fuzzy contractive mapping, for some , satisfying the following conditions:
- (1)
T is α-admissible;
- (2)
There exists such that for all ;
- (3)
If is a sequence in such that for all and as then for all .
- (4)
For any , bothwhere the sequence is defined as , for some .
Then, T has a fixed point, i.e., there exists some such that .
Proof. Following the proof of Theorem 1, we get that
is a Cauchy sequence in a complete
. This implies there exists some
such that
as
. Thus, by hypothesis (3), we obtain
Using the fact that
is triangular and by Equation (
12) and Equation (
3) we have
Letting
in (Equation (14)), we obtain
that is,
, so
T has a fixed point. □
Next, we present an example for Theorem 2.
Example 4. Consider and let the control functions be defined asand The fuzzy set is defined by Then, one can easily show that is a complete fuzzy double-controlled metric space which is triangular, and we will verify condition (FD4) only. Note that Note that Equation (17) follows from the below inequality:Let and , be defined asand Let for . To show T is α-admissible, for any , if , then ; hence, both which implies that , for all .
To show that T is (α-ψ)-fuzzy contractive mapping, we need to show Equation (3) holds. For , the case is trivial; thus, we consider the case . If is any sequence in such that for all , and as then . Hence, we have which implies that for all . Therefore, all the hypotheses of theorem 2 are satisfied; consequently, T has fixed points, which are and .