Abstract
In this paper, we study the concept of interval-valued fuzzy set on the family of all soft sets over X with the set of parameters E and examine its basic properties. Later, we define the concept of interval-valued fuzzy topology (cotopology) on . We obtain that each interval-valued fuzzy topology is a descending family of soft topologies. In addition, we study some topological structures such as interval-valued fuzzy neighborhood system of a soft point, base and subbase of and investigate some relationships among them. Finally, we give some concepts such as direct sum, open mapping and continuous mapping and consider connections between them. A few examples support the presented results.
Keywords:
interval-valued fuzzy topology (cotopology); interval-valued fuzzy neighborhood; base; subbase; continuous mapping; direct sum MSC:
54A40; 54A05; 03E72; 06D72
1. Introduction
The concept of interval-valued fuzzy set was given by Zadeh [1]. This set is an extension of fuzzy sets in the sense that the values of the membership degrees are intervals of numbers instead of the numbers. Chang [2] introduced the concept of fuzzy topology in 1968. But, since the concept of openness of a fuzzy set was not given, Samanta et al. [3,4] introduced the concept of gradation of openness (closedness) of a fuzzy set in 1992. Furthermore, the concept of intuitionistic gradation of openness of fuzzy sets in Sostak’s sense [5] was defined by some researchers [6,7,8]. In [9], D. L. Shi et al. introduced the concept of ordinary interval-valued fuzzifying topology and investigated some of its important properties. It is known that to describe and deal with uncertainties, a lot of mathematical approaches put forward a proposal such as probability theory, fuzzy set theory, rough set theory, interval set theory etc. But all these theories have inherent difficulties. In [10], Molodtsov presented soft set theory in order to overcome difficulties affecting the existing methods. Later, many papers were written on soft set theory. Since soft set theory has many application areas, it has progressed very quickly until today. Maji et al. [11] defined some operations on soft sets. In recent years, topological structures of soft sets have been studied by some authors. M. Shabir and M. Naz [12] have initiated the concept of soft topological space. A large number of papers was devoted to the study of soft topological spaces from various aspects [13,14,15,16,17,18,19,20,21,22]. Moreover, C.G. Aras et al. [23] gave the definition of gradation of openness which is a mapping from to which satisfies some conditions and showed that a fuzzy topological space gives a parameterized family of soft topologies on Also, S. Bayramov et al. [24] gave the concepts of continuous mapping, open mapping and closed mapping by using soft points in intuitionistic fuzzy topological spaces.
The importance and applications of interval-valued analysis is given in the book [25]. Our aim in this paper is to demonstrate applications of interval-valued mathematics in the context of fuzzy and soft topologies. We study the concept of interval-valued fuzzy set on the family of all soft sets over X and examine its basic properties. We also define the concept of interval-valued fuzzy topology (called also cotopology) on We prove that each interval-valued fuzzy topology is actually a descending family of soft topologies. Further, we study some topological structures such as interval-valued fuzzy neighborhood system of a soft point, base and subbase of and investigate some relationships among them. Finally, we give some concepts such as direct sum, open mappings and continuous mappings and consider connections between them.
2. Preliminaries
In this section we give basic notions about soft sets and soft topology which will be used in the sequel.
Definition 1
([10]). Let X be a set, called an initial universal set, and E a nonempty set, called the set of parameters. A pair is called a soft set over X, where is a mapping from E into a power set of X.
The family of all soft sets over X with the set of parameters E is denoted by .
Definition 2
([11]). If for all , is said to be the null soft set denoted by If for all then is said to be the absolute soft set denoted by
Definition 3
([14,16]). Let be a soft set over X. The soft set is called a soft point if for some element and for all
Note that since each soft set can be expressed as a union of soft points, to give the family of all soft sets on X it is sufficient to give only soft points on X.
Notice that in the literature there are other definitions of soft points, but we think that our approach gives an easier applications of these points.
Definition 4
([14]). The soft point is said to belong to the soft set , denoted by , if i.e.,
Definition 5
([12]). A soft topology on a non-empty set X is a collection τ of soft sets over X with a set of parameters E satisfying the following axioms:
- (ST1)
- and Φ belong to τ;
- (ST2)
- The soft intersection of finitely many members in τ belongs to τ;
- (ST3)
- The soft union of any family of members in τ belongs to τ.The triple is called a soft topological space. Members of τ are called soft open sets.
Notice that if is a soft topological space, then defines a topology on X, for each . This topology is called e-parametric topology [12].
Throughout this paper, I denotes the closed unit interval , and represents the set of all closed subintervals of The members of are called interval numbers and are denoted by Here and Especially, if then we take Also, it is defined an order relation on as follows:
(1)
(2) and
(3) For any maximum and minimum of respectively
Let Then inf and sup of are defined as follows:
Also, for each the complement of denoted by is defined as:
3. Introduction to Interval-Valued Topology on Soft Sets
We introduce now the main notion in this paper, the notion of interval-valued fuzzy topology on the set .
Definition 6.
A mapping is called an interval-valued fuzzy set in and is denoted briefly as
Let represent the set of all in For each and . is a closed interval. Thus are two fuzzy sets. For each we write In particular, denote the interval-valued fuzzy empty set and the interval-valued fuzzy whole set in respectively.
Now we give the relations ⊂ and = on as follows:
,
.
Definition 7.
Let and be arbitrary subfamily of The complement, union and intersection of A are denoted by and , respectively, are defined for each as follows respectively,
Proposition 1.
Let and Then the following statements hold:
Proof.
It is immediately obtained. □
Definition 8.
A mapping is called an interval-valued fuzzy topology over if it satisfies the following conditions:
(1)
(2)
(3)
The interval-valued fuzzy topology is denoted briefly and the triple is called an interval-valued fuzzy topological space over
It is clear that consists of two fuzzy topologies over and Also, for each
Example 1.
Let and The set of all soft points on X is Then the soft sets are:
Define the mapping as follows:
Then it is clear that τ is an
Example 2.
Let and The set of all soft points on X is Then the soft sets are
We define the mapping as follows:
Then it is clear that τ is an
Definition 9.
A mapping is called an interval-valued fuzzy cotopology (in short ) over if it satisfies the following conditions:
(1)
(2)
(3)
The triple is called an interval-valued fuzzy cotopological space over and denoted by IVFCTS.
Proposition 2.
If is an then is a
If is an then is an
Proof.
(1) It is clear that
(2) The proof is done similarly to (1). □
Definition 10.
Let be an and We define two families and as follows, respectively:
(1)
(2)
Proposition 3.
Let be an and Then:
is a soft topology.
If then
where
is a soft topology.
If then
where
Thus each interval-valued fuzzy topology is a descending family of soft topologies.
Proof.
The proofs of (1), (2), (4) and (5) are clear.
(3) From (2), is a descending family of soft topologies. Then for each
Suppose that Then Hence there exists such that So for Thus is obtained, i.e.,
Hence from (i) and (ii), where
(6) The proof is obtained similarly to the proof of (3). □
Remark 1.
It is clear that for each is a descending family of soft topologies.
Proposition 4.
Let be a descending family of soft topologies on We define the mapping as follows: for each
Then
Proof.
Obviously is met.
Suppose such that and If or , then
Thus Since
we can find and such that
and Let
Then Since is a descending family, then Since then So we have
Since was arbitrary,
Hence is obtained.
Finally, let and If then obviously
If choose such that Then for and Thus So and Since was arbitrary,
Hence is met. □
Theorem 1.
Let be an and let We define the mapping as follows: for each
Then and for each Then is said to be an interval-valued fuzzy subspace of , and is said to be induced interval-valued fuzzy topology on Y by
Proof.
It is obvious that Let Then
Now, let Then
Also, for each is satisfied. □
4. Interval-Valued Neighborhood Structures
In this section we define and study the concept of interval-valued fuzzy neighborhood system of a soft point.
Definition 11.
Let be an and let be a soft point. Then a mapping is called the interval-valued fuzzy neighborhood system of if for each
Proposition 5.
Let be an and let Then
Proof.
Since it is clear that
Let If then obviously Then
So
Hence
□
Definition 12.
Let be an
(1) is called a base of τ if β satisfies the following condition:
(2) is called a subbase of τ if is a base of where
and J is a finite set.
We now give an example of a base for a topology.
Example 3.
Let , . The set of soft points in X is . Let be fixed. We define the mapping as follows: for we set
The mapping defined by
is a base for τ.
Theorem 2.
Let be an and let be a mapping such that Then β is an interval-valued fuzzy base for τ if and only if for each soft point and each
Proof.
Let be an interval-valued fuzzy base for be a soft point and Thus from the definition of interval-valued fuzzy neighborhood system of
If then there is such that Hence
So
is obtained.
Conversely, suppose the condition of necessary holds and for
Then
Hence
On the other hand, from Proposition 5,
So, for each since
Therefore
Hence from (i) and (ii),
i.e., is an interval-valued fuzzy base for □
Theorem 3.
If satisfies the following conditions:
(1)
(2) , then
is an interval-valued fuzzy topology and β is a base of
Proof.
From the condition (1), hold. For
is obtained. Let let We consider a family
Then
For an arbitrary since
is obtained. Thus is an interval-valued fuzzy topology. It is clear that is a base of □
5. Mappings
In this section we define and study continuous and open mappings between interval-valued fuzzy topological spaces.
Definition 13.
Let and be two and be a mapping. Then is called a continuous mapping at the soft point if for each arbitrary soft set there exists such that
is called a continuous mapping if is a continuous mapping for each soft point.
The following example illustrates the definition of continuity.
Example 4.
Let , . The set of all soft points in X is , and the soft sets are
Let , . The soft sets in Y are:
Define and by
Consider mappings and defined by
Then is a continuous mapping. Indeed, we have
Theorem 4.
Let and be two and be a mapping. Then is a continuous mapping if and only if
is satisfied for each
Proof.
Let be a continuous mapping and Suppose be an arbitrary soft point. Since is a continuous mapping, there exists such that
Then
We have
Conversely, let be an arbitrary soft point and From the condition of the theorem,
and hold. So is a continuous mapping. □
Theorem 5.
Let and be two and be a mapping. Then is a continuous mapping if and only if for
are soft continuous mappings.
Proof.
Let be a continuous mapping and Then For each Since
then
Conversely, suppose that for
are soft continuous mappings. If for each then so and Since are continuous mappings, Then
i.e., is a continuous mapping. □
Theorem 6.
Let and be two and be an interval-valued fuzzy base for Then is a continuous mapping if and only if for each
Proof.
Let be a continuous mapping and Then So,
is obtained.
Conversely, let for each Let Hence
So we have . □
Theorem 7.
Let and be two and be a subbase for Then is a continuous mapping if is satisfied, for each
Proof.
For each
is obtained. □
Definition 14.
Let and be two and be a mapping. Then is called an open mapping if it the following condition
is satisfied for each
Now we give an example of an open mapping.
Example 5.
Let , ; , .
The soft sets in X are
and the soft sets in Y are
Define topologies τ on X and on Y by
Consider mappings and given by
Then
It follows that is an open mapping.
Theorem 8.
Let and be two and be a mapping and β be a base of If
is satisfied for each then is an open mapping.
Proof.
For each
is satisfied. □
Theorem 9.
Let be an and be a mapping of soft sets. Then define as follows:
Then τ is an interval-valued fuzzy topology over and is a continuous mapping.
Proof.
It is obvious that .
is obtained. Also,
So is an interval-valued fuzzy topology over and is a continuous mapping. □
Theorem 10.
Let be an and be a mapping of soft sets. Then define as follows:
Then ζ is an interval-valued fuzzy topology over and is a continuous mapping.
Proof.
It is clear that
is obtained. Furthermore,
So is an interval-valued fuzzy topology over and is a continuous mapping. □
6. Direct Sum
Now let be a family of fuzzy topological spaces, and for Let be union of all soft points which belong to this space and Then is the family of soft sets on with parameters For soft point if then If then is satisfied. For an arbitrary [23].
Theorem 11.
Let be a family of interval-valued fuzzy topological spaces, be pairwise disjoint. Then τ defined by
for each is an interval-valued fuzzy topology on .
Proof.
Let Then
holds.
Now, let be a family of soft sets. Then
is satisfied. Hence, is an □
Definition 15.
The interval-valued fuzzy topological space in the previous theorem is called the direct sum of denoted by
It is obvious that and are embedding mappings for all Then
is a continuous mapping.
Theorem 12.
Let be a family of interval-valued fuzzy topological spaces, be a set, be a parameter set and be two projections mappings for Define as follows:
Then β is a base of the topology on , and are continuous mapping for
Proof.
We show that is a base. Indeed,
is satisfied. Similarly, is obtained.
Hence is a base.
Now we check that the projection mapping are continuous mapping for Indeed, for each
is satisfied. □
Remark 2.
In general, we cannot obtain an interval-valued fuzzy topology by utilizing and , with and being fuzzy topologies. If are two fuzzy topologies and , then is an interval-valued fuzzy topology.
7. Conclusions
We introduce the interval-valued fuzzy set on the family of all soft sets over Later we give interval-valued fuzzy topology (cotopology) on We obtain that each interval-valued fuzzy topology is a descending family of soft topologies. In addition to, we study some topological structures such as interval-valued fuzzy neighborhood system of a soft point, base and subbase of and investigate some relationship between them. Finally, we give some concepts such as direct sum, open mapping and continuous mapping, consider relationships between them and illustrate it by examples.
The relations between soft topologies and crisp topologies explained in the paper [19,21] may be used for the future research in this field. Also, the relations between fuzzy soft and soft topologies might suggest a new lines of investigation related to our article.
Author Contributions
The authors contributed equally to this work. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
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