1. Introduction
Experts across various disciplines, including medical science, economics, systems engineering, artificial intelligence, and other fields, regularly encounter the challenge of molding complex systems that involve uncertainty. While classical probability theory, fuzzy set theory [
1], and rough set theory [
2] are commonly used mathematical tools to address such problems, they may not always yield satisfactory results due to limitations in their parameterizations. In 1999, Molodtsov [
3] explored a fresh strategy for dealing with uncertainty, known as soft set theory, which overcomes the shortcomings of other methods. The technique involves the use of soft sets, which are a parametrized family of subsets of a universal set. Unlike other methods, soft set theory does not impose any specific conditions for object illumination and parameters can be selected in various forms, such as sentences, words, numbers, or mappings. As a result, the theory is highly flexible and convenient to apply in practical settings. In addition, Molodtsov applied soft set theory to various areas including the study of function smoothness, game theory, and more, demonstrating its versatility and broad applicability. In [
4], Maji et al. examined the role of soft sets in decision-making problems and presented a technique for aggregating soft set parameters to facilitate decision making. In this context, a soft set can be employed to represent each option or alternative under consideration, with its parameters reflecting the various factors that are relevant to the decision, such as financial cost, danger, potential benefit, and other quantitative or qualitative measures. By combining and analyzing these parameters, the proposed method enables decision makers to arrive at informed and effective decisions. In 2003, Maji et al. [
5] presented and analyzed the concept of soft operations between soft sets. Yang [
6] focused on rectifying certain properties in soft set theory that were introduced in [
5]. In [
7], several researchers have sought to refine some soft operations or develop new ones, in order to enhance their functionality and utility in soft set theory. Recently, in 2019, Hussain et al. [
8] defined soft single points and soft real points. They have found intriguing and fundamental characteristics.
The exploration of general topology is a notable and significant area of mathematics that focuses on the application of concepts from set theory and structures employed in the field of topology. In 2011, Shabir and Naz [
9] initiated a new area of study within topology called soft topology, which combines the theories of soft sets and topology. They established several fundamental concepts such as soft open (closed), soft neighborhood, soft closure, soft separation axioms, soft regular spaces, and soft normal spaces. In 2012, Hussain and Ahmad [
10] furthered the study of soft topology by exploring the properties of soft open (closed), soft neighborhood, and soft closure. In addition, they presented the concepts of the soft interior, soft exterior, and soft boundary. Zarlutana et al. [
11] explored and studied the concept of soft mappings and soft continuous mapping between two collections of soft sets. In 2015, Hussain [
12] established further characterization of soft continuous mapping.
Numerous research studies have showcased practical applications of soft sets and their topologies across diverse disciplines to address real-world issues. This underscores the importance of studying and investigating these sets and their topologies, providing a strong motivation for us to delve deeper into the subject and devise new methodologies to address real-world challenges more effectively and unlock the full potential of soft sets in various applications. This leads to improved solutions in the face of uncertainty and complexity.
This article aims to establish a cohesive perspective to advance the development of soft topological spaces by building upon the findings of ordinary topology. Our paper presents an innovative methodology to construct a soft topology by utilizing the set V both as an initial universe set and as a set of parameters. Let
be a topology on
and let
for all
and
be the collection of all soft single points associated with
where
Q is an open neighborhood of an element
v in
We proceed to construct a soft topology based on this collection
which forms a base for this soft topology. We will study the relationship between the soft closure (the soft interior) and the closure (the interior) of any soft set, with respect to soft topology and its corresponding ordinary topology. We will prove that two soft topologies that are generated by soft single points are soft homeomorphic if their corresponding ordinary topologies are homeomorphic. We will define a soft relative topology generated by soft single points with respect to an ordinary relative topology. Furthermore, we will study the soft separation axioms that were introduced in [
9] of a soft topology generated by soft single points, with respect to an ordinary topology. We will investigate whether these axioms are inherited from an ordinary topology or not. Investigation methods of producing soft topology from classical topology is an important and fruitful area of research in topology and related fields. Researchers are able to gain a deeper understanding of the properties and behaviors of these structures and develop new tools and techniques for studying these spaces, which can then be applied to other areas of mathematics and science.
The organization of the paper is summarized in the following sections. This section comprises an introduction and two subsections. The first subsection provides a comprehensive literature review for constructing soft topology, while the second subsection points out the related topics of soft sets and their applications.
Section 2 provides a review of important definitions and results from soft set theory and soft topological spaces that are relevant to the present study. In
Section 3, we introduce the generated soft topology by soft single points on a nonempty set
V with respect to any ordinary topology on
We prove that two soft topologies are soft homeomorphic if their corresponding ordinary topologies are homeomorphic. Also, we examine the soft relative topology generated by soft single points with respect to a relative topology. In
Section 4, we investigate the soft separation axioms for this type of soft topology. We verify whether the soft separation axioms of this type of soft topology are inherited from its corresponding ordinary topology or not. In
Section 5, we present our conclusion which supports our results and explains the future work.
1.1. Literature Review of Studies of Constructing Soft Topology
Let us review the literature that examined the topology and different methods of constructing soft topology. In [
13], Milan conducted the study on soft topological space, exploring their connection with a topological space defined on the Cartesian product of two sets through a homeomorphism. In 2019, Terepeta [
14] discussed a method of constructing a soft topology from any ordinary topology on a nonempty set
V while considering any possible set of parameters. In [
15], Al Ghour et al. explored a process of constructing a soft topology by utilizing an indexed family of ordinary topologies on a nonempty set
V while considering any possible set of parameters. In 2020, Alcantud [
16] thoroughly revisited the standard method for deriving soft topology from ordinary topology, which was introduced in [
14]. Furthermore, they delved into the concepts of soft separability and soft countability within the framework of this soft topology. In 2022, Azzam et al. [
17] conducted an exploration of six soft operators and employed them to construct soft topologies. They inferred that all resulting soft topologies are equivalent and share identical properties with their classical counterparts when considering enriched and extended conditions. Recently, El-Atik and Azzam [
18] conducted research on a method of transformation to depict the complex networks of the human brain more simplistically. In addition, they explored a topological model for simplicial complexes and utilized it to represent the brain as a union of simplicial complexes. This approach potentially offers a way to diagnose brain cancer.
1.2. Related Topics to Soft Set Theory and Their Applications
In 1965, Zadeh [
1] proposed a fuzzy set theory as a way to handle uncertainty in data representation and reasoning. Maji et al. [
19] presented the concept of fuzzy soft sets. This concept combines the principles of fuzzy sets and soft sets, providing a more comprehensive framework for handling uncertainty in decision making and data analysis. The application of fuzzy sets and fuzzy soft sets has been studied by many researchers across various domains.
In 1982, Pawlak [
2] presented a rough set theory: a mathematical framework that offers a systematic approach to address the challenges of uncertainty and imprecision in data analysis. In 2011, Feng et al. [
20] worked to generalize the rough sets model that builds upon soft sets and proposed the concept of soft rough sets. The soft rough set is characterized as a parametrized subset of a set, utilized for determining lower and upper approximations of a subset, diverging from the traditional approach of equivalent classes. This soft rough set has been applied in decision making by many researchers. Several academic experts employed soft rough sets to address medical challenges, like the diagnosis of Chikungunya disease, the diagnosis of Coronavirus disease, and many medical applications. One of our plans is to conduct a comprehensive study and undertake the construction of soft topology on these sets in the future.
3. A New Approach for Constructing a Soft Topology from an Ordinary Topology
This section is focused on introducing a soft topology that is generated by soft single points on V in relation to any ordinary topology on Additionally, we examine several properties pertaining to this particular type of soft topology.
Definition 16. Suppose that is a topological space. We define a fixed point function for each and such that Q is an open neighborhood of v in κ and for all The soft setis called a soft single point on V with respect to The set of all soft single points on V with respect to κ is symbolized by Definition 17. Suppose that is a topological space. Let
where for all . Then, the soft topology generated by soft single points on V with respect to κ is as follows:and is symbolized by. To clarify our terminology, V will henceforth indicate both the initial universe set and the set of parameters. We will use the notation to represent the collection of all soft sets over V and any soft set over V will be symbolized by instead of .
The first thing we do is to prove that in the above definition meets the soft topology conditions.
Theorem 4. Suppose that is a topological space. Then, in Definition 17 is a soft topology on
Proof. Since and V is an open neighborhood for each for all Then, their union belongs to . Thus, for all . Also, by Definition 17.
Let . Then,
is either an open neighborhood of v in or ,
is either an open neighborhood of v in or .
If and are two open neighborhoods of then is an open neighborhood of v and . Thus,
is either an open neighborhood of v in or
Let Then, we have for all i, Since is the union of an arbitrary number of elements in then .
Hence, is a soft topology on □
Example 2. Let and be a topology on V. Then,where and similarly for and Thus,
is a soft topology on Definition 18. Suppose that is an Then, each element of is called a soft single point open set.
Remark 3. The set in Definition 17 is a soft base of since every soft single open set is a union of elements from
Example 3. Let V be an infinite set and κ be a co-finite topology on Then,is a soft base of Thus, is called a soft co-finite topology generated by soft single points on V with respect to Let be the set of real numbers and be the usual topology on Then,is a soft base of Thus, is called a soft usual topology generated by soft single points on with respect to
Theorem 5. Suppose that is a topological space and We assume that is an Then, Q is an open set in κ if and only if is a soft single point open set in for all
Proof. Necessity. Suppose that Q is an open set in Then, Q is an open neighborhood for all Thus, for all . Hence, for all
Sufficiency. We assume that is a soft single point open set in for all Then, for all By the definition of Q is an open set in □
Theorem 6. Let be an and be an Then, their intersection is an.
Proof. Suppose that
for all
and
and
for all
and
are soft bases of
and
respectively. Then,
Hence, ∩ is a soft topology generated by soft single points on V with respect to □
Remark 4. If is an and is an , then is an in a case that is a topology on
Theorem 7. Let be an and be an If is finer or strictly finer than then is finer or strictly finer than We say that is coarser or strictly coarser than .
Proof. Suppose that
is finer or strictly finer than
. We assume that
and
are soft bases of
and
respectively. Let
Then,
Hence, . This proves the theorem. □
Remark 5. If and are incomparable, then and are incomparable too.
Definition 19. The relative complement of a soft single point open set is called a soft single point closed set.
The following lemma provides evidence that De-Morgan’s laws apply to all soft sets over
V with respect to the set of parameters. The proof can be found in ([
9]).
Lemma 1. Let . Then,
- 1.
=
- 2.
=.
Theorem 8. Let be an , where κ is a topology on Then,
- 1.
and are soft single point closed sets;
- 2.
The restricted intersection of any numbers of soft single point closed sets is a soft single point closed set;
- 3.
The union of any two soft single point closed sets is a soft single point closed set.
Proof. It is clear by applying Theorem 4 and Lemma 1. □
While the converse of Proposition 1 may not hold (as noted in [
9]), our subsequent result confirms that the converse does indeed hold in the particular situation we are considering.
Theorem 9. Let be a topological space. Then, is an if and only if is a topology on V for all
Proof. Necessity. Suppose that is an Therefore, by Proposition 1, is a topology on V for all
Sufficiency. Suppose that is a topology on V for all By the definition of and Q, where Q is an open neighborhood of v in for all For all we define the soft sets : and for all . Therefore, we have the set for all and . Thus, by Theorem 4, is an . □
As Propositions 2 and 3 state, for any and the equality holds if and only if is a soft closed set. However, the converse holds in general in our specific case, as demonstrated by the following theorem.
Theorem 10. Suppose that is an and . Then,
Proof. Suppose that
. Then,
is the smallest soft single point closed set which contains
For all
and
is a closed set which contains
in
By the definition of
, we have for all closed set
in
,
is a soft single point closed set in
Since
is the smallest soft single point closed set which contains
then
is the smallest closed set which contains
in
for all
Therefore,
. □
Now, we introduce the definition of the closure of any with respect to any ordinary topology on V.
Definition 20. Let be a topological space. Let Then, the closure of with respect to κ is defined as:where is the closure of in κ. In the theorem that follows, we describe the relationship between and for any
Theorem 11. Let be an and Then,
Proof. We assume that Then, for all Therefore, for all is the smallest closed set which contains in Now, if then for all and is a closed set which contains in This implies that ⊆ since is the smallest closed set which contains in for all Thus, Hence, by Theorem 10, □
Corollary 1. Let be an and Then .
Proof. We have by Theorem 11,
Then,
Hence,
□
In general, Theorem 11 cannot be reversed, as shown by the following example.
Example 4. Let κ and be the same as in Example 2.
Let Then,Hence, and Theorem 12. Let be an and Then, is a soft single point closed set if and only if
Proof. Necessity. Suppose that is a soft single point closed set. Then, Since is soft single point closed set, is a closed set in for all by the definition of Thus,
Sufficiency. It is clear. □
Corollary 2. Let be an and Then,
Proof. Since is a soft single point closed set, by Theorem 12, □
Theorem 13. Let be an and Then, is a soft single point closed set if and only if
Proof. Necessity. Suppose that and is a soft single point closed set. Then, is a soft single point closed set which contains If then is the smallest soft single point closed set which contains Thus, ⊆ since is the smallest soft single point closed set which contains Therefore, By Theorem 11, we obtain
Sufficiency. It is clear. □
Now, we proceed to define the interior of any with respect to any ordinary topology on
Definition 21. Suppose that is a topological space and Then, the interior of with respect to κ is defined as:where is the interior of in Theorem 14. Let be an and The interior of with respect to the topology is the soft set where for all Then,
Proof. Suppose that Then, is the largest soft single point open set which contained in Therefore, for all and is an open set which contained in in By the definition of we have for all open set in
is a soft single point open set. Since
is the largest soft single point open set which contained in
then
is the largest open set which contained in
in
for all
Therefore,
□
The relationship between and for any is explained in the following theorem.
Theorem 15. Let be an and . Then, .
Proof. Suppose that Then is the largest soft single point open set which contained in Therefore, ⊆ for all By the definition of is an open neighborhood of v in which contained in for all . Now, if then is the the largest open neighborhood of v in which is contained in for all Therefore, ⊆ since is the the largest open neighborhood of v in which contained in for all Hence, . □
Corollary 3. Suppose that is an and Then,
Proof. By Theorem 15, we have Then,
Thus,
□
From the following example, it is evident that the converse of Theorem 15 is not true in general.
Example 5. Let κ and be the same as in Example 2.
Let Then,
and .
Hence, and
Theorem 16. Let be an and Then, is a soft single point open set if and only if
Proof. Necessity. Suppose that is a soft single point open set. By the definition of is an open set in for all Then,
Sufficiency. It is clear. □
Corollary 4. Suppose that is an and Then
Proof. Since is a soft single point open set, by Theorem 16, □
Theorem 17. Let be an Then, is a soft single point open set if and only if
Proof. Necessity. Suppose that and is a soft single point open set. Then, is a soft single point open set which is contained in If then is the largest soft single point open set which is contained in Therefore, since is the largest soft single point open set which is contained in It follows that Thus, by Theorem 15, we obtain Sufficiency. It is clear. □
Suppose that is a topology on V and is a topology on We assume that is an and is an . We study whether and being homeomorphic as topological spaces implies that and are homeomorphic as soft topological spaces. In our situation, where V and Z are treated as initial universe sets and the sets of parameters, Definition 6 specifies that we should only consider the mapping
Theorem 18. Suppose that and are two topological spaces. Let be an and be an . Let be a map and be an associated map. Then, is a soft continuous map if and only if the map λ is continuous.
Proof. Necessity. Suppose that
is a soft continuous map. Let
Q be a nonempty open set in
is an open neighborhood of
z in
and
for all
. Since
is a soft continuous map,
. By Remark 1, we have for all
where
Then, we have two cases:
If then
If then
Since Q is an open neighborhood of z in then Hence, is a continuous map.
Sufficiency. Suppose that is a continuous map. Then, for all . Let be a soft single point open set in . Then, we can write as follows:
is either an open neighborhood of w in or
By Remark 1, for all
Since is a continuous map, then for all Then, we have two cases:
If then is an open neighborhood of v in
If then
Thus, Hence, is a soft continuous map. □
Theorem 19. Suppose that is an and is an If and are homeomorphic, then and are soft homeomorphic.
Proof. Suppose that and are homeomorphic. Then, we have a homeomorphism map By Remark 1, is a bijection map since is a bijection map. By Theorem 18, and are soft continuous maps since and are continuous maps. Hence, and are soft homeomorphic. □
Suppose that M is a nonempty subset of V and is an By using Definition 13, we obtain a soft relative topology on M that has soft open sets and may not be an open neighborhood of m in So, we recast the definition of the soft relative topology to obtain a soft relative topology generated by soft single points, with respect to an ordinary relative topology, as follows:
Definition 22. Let be an Let and be a relative topology on Then,is called a soft relative topology generated by soft single points on M with respect to where Q is an open neighborhood of v in Theorem 20. Suppose that Let be an and be a soft relative topology generated by soft single points on M with respect to Then, is a soft single point open set in if and only if there exists a soft single point open set in such that Proof. Necessity. Suppose that
is a soft single point open set in
Then, we can write
as follows:
Since is an open set in there exists an open set such that Therefore, or Thus, where L is either an open neighborhood of v in or Hence, is a soft single point open set in
Sufficiency. Suppose that
where
is a soft single point open set in
Since
we can write
as follows:
Then,
is either an open neighborhood of
v in
or
for all
Since
then
∩
Thus,
Hence, is a soft single point open set in □
Theorem 21. Suppose that Let be an and be a soft relative topology generated by soft single points on M with respect to Then, is a soft single point closed set in if and only if there exists a soft single point closed set in such that Proof. Necessity. Suppose that
is a soft single point closed set in
Then, we can write
as follows:
Since
is a closed set in
then there exists a closed set
such that
Also, since
Then,
Thus, where is either an open neighborhood of v in or Hence, is a soft single point closed set in
Sufficiency. Suppose that
where
is a soft single point closed set in
So, we can write
as follows:
Therefore,
is either an open neighborhood of
v in
or
for all
Then
for all
Since
is a closed set in
then
is a closed set in
for all
Thus,
Hence, is a soft single point closed set in □
4. Soft Separation Axioms
The focus of this section is on the soft separation axioms of a soft topology which is generated by soft single points on V with respect to a topology on V. We aim to analyze whether the soft topology inherits the soft separation axioms from and to examine the conditions that must be met for to satisfy these axioms.
Theorem 22. Let be an Then, is a soft -space if and only if κ is a -space.
Proof. Necessity. Suppose that is a soft -space. Then, for all such that there exists a soft single point open set such that and or and We assume that and Then, for all and for some say By the definition of Q is an open set in Therefore, we have the open set Q in such that and Hence, is a -space.
Sufficiency. Suppose that is a -space. Then, for all such that there exists an open set Q in such that and or and We assume that and Therefore, and for all Also, we have and for all Then, and for all It follows that since and and since Hence, is a soft -space. □
Theorem 23. Let M be a nonempty subset of Let be an and be an . If is a soft -space, then is a soft -space.
Proof. It follows from Theorem 22 and the fact that a -separation axiom has a hereditary property in the ordinary topology. □
The subsequent theorem provides clarity that a -separation axiom yields identical results.
Theorem 24. Let be an Then, κ is a -space if and only if is a soft -space.
Proof. It is similar to the proof of Theorem 22. □
Theorem 25. Let M be a nonempty subset of Let be an and be an . If is a soft -space, then is a soft -space.
Proof. It follows from Theorem 24 and the fact that a -separation axiom has a hereditary property in the ordinary topology. □
If V has more than one element, then cannot be a soft -space even if is a -space, as stated by the following theorem.
Theorem 26. Let V be a set with at least two elements and be an Then, does not meet the requirements of a soft axiom
Proof. Let
be any two distinct elements in
We assume that there exist two soft single point open sets
and
such that
and
Since
we can write them as follows:
Since and and cannot be empty sets for all By the definition of we have and are open neighborhoods of w in Thus, since it is the intersection of two open neighborhoods of It follows that This is a contradiction. Hence, is not a soft -space. □
The following theorem presents the condition that establishes as a soft regular space.
Theorem 27. Let be an Then, is a soft regular space if and only if V is a singleton.
Proof. Necessity. Suppose that is a soft regular space. We assume that V is not a singleton. Let and where is a nonempty soft single point closed set. Then, there exist two soft single point open sets and such that and Since for all Also, since for some Then, there exists at least one element such that and It follows that since it is intersection of two open neighborhoods of v in Thus, This is a contradiction. Hence, V must be a singleton.
Sufficiency. Suppose that V is a singleton. Then, is the only topology on Thus, is an and it is a soft regular space. □
In the case V has more than one element, the example that follows demonstrates that is a regular space, while fails to be considered a soft regular space.
Example 6. Let and be a topology on Then,is a soft base of It is clear that κ is a regular space. We have is a soft single point closed set in and Then, there exist only two soft single point open sets and such that and However, is the only soft single point open set which contains We note that Thus, is not a soft regular space. Remark 6. We note that is a soft -space if and only if V is a singleton.
Our investigation currently focuses on exploring the specific conditions or criteria that determine whether can be classified as a soft normal space.
Theorem 28. Let be an If is a soft normal space, then κ is a normal space.
Proof. We assume that
is a soft normal space. Let
and
be two nonempty disjoint closed sets in
Then,
are two nonempty soft single point closed sets. Therefore,
since
and
are nonempty disjoint closed sets. Since
is soft normal space, there exist two soft single point open sets
and
such that
,
and
Thus,
By the definition of and are open sets in Hence, is a normal space. □
The reversal of Theorem 28 is not generally valid, as evidenced by the following instance.
Example 7. Let and is a topology on It is clear that κ is a normal space. Then,is a soft base of Therefore,are soft single point closed sets and Thus,are the smallest soft single point open sets which contain and respectively. Therefore, Hence, is not a soft normal space.
Definition 4 illustrates the concept of soft disjointness between two soft sets. Specifically, let and and and be two soft sets over V such that for all either while or the other way around. In this case, we say that and are soft absolutely disjoint sets.
Our attention shifts to a case where is a soft normal space, as we explore in the following theorem.
Theorem 29. Let be an Then, all soft disjoint single point closed sets are soft absolutely disjoint sets in if and only if is a soft normal space.
Proof. Necessity. Suppose that
and
are two soft disjoint single point closed sets. We assume that they are soft absolutely disjoint sets. Then, we can write them as follows:
Therefore, there exist two soft single point open sets
and
defined as:
It is clear that , and Hence, is a soft normal space.
Sufficiency. Suppose that
is a soft normal space. Then, for any two soft disjoint single point closed sets
and
there exist two soft single point open sets
and
such that
and
Since
and
are soft single point closed sets, and we can write them as follows:
We assume that and are not soft absolutely disjoint sets. Then, for some we have and Since and then and for some Thus, for some since it is intersection of two open neighborhoods of v in Therefore, This is a contradiction. Hence, and must be soft absolutely disjoint sets. □
Remark 7. We note that is a soft -space if and if is a soft -space and all soft disjoint single point closed sets are soft absolutely disjoint sets in
The soft normality of does not imply that is also a soft normal space, as illustrated in the following instance.
Example 8. Let and be a topology on Then, is a soft base of It is clear that all soft disjoint single point closed sets in are soft absolutely disjoint sets. By Theorem 29, is a soft normal space. Let Therefore, is a relative topology on Thus,is a soft base of We haveare soft disjoint single point closed sets in Thus,are the smallest soft single point open sets which contain and , respectively. Then, Hence, is not a soft normal space.