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 areWe 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. (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. □
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 areLet , . The soft sets in Y are:Define and byConsider mappings and defined byThen 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 ifis 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
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 conditionis satisfied for each Now we give an example of an open mapping.
Example 5. Let , ; , .
The soft sets in X areand the soft sets in Y are Define topologies τ on X and on Y by Consider mappings and given by It follows that is an open mapping.
Theorem 8. Let and be two and be a mapping and β be a base of Ifis 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. □