Abstract
As daily problems involve a great deal of data and ambiguity, it has become vital to build new mathematical ways to cope with them, and soft set theory is the greatest tool for doing so. As a result, we study methods of generating soft topologies through several soft set operators. A soft topology is known to be determined by the system of special soft sets, which are called soft open (dually soft closed) sets. The relationship between specific types of soft topologies and their classical topologies (known as parametric topologies) is linked to the idea of symmetry. Under this symmetry, we can study the behaviors and properties of classical topological concepts via soft settings and vice versa. In this paper, we show that soft topological spaces can be characterized by soft closure, soft interior, soft boundary, soft exterior, soft derived set, or co-derived set operators. All of the soft topologies that result from such operators are equivalent, as well as being identical to their classical counterparts under enriched (extended) conditions. Moreover, some of the soft topologies are the systems of all fixed points of specific soft operators. Multiple examples are presented to show the implementation of these operators. Some of the examples show that, by removing any axiom, we will miss the uniqueness of the resulting soft topology.
  1. Introduction
Most real-world problems in engineering, medical science, economics, the environment, and other fields are full of uncertainty. Soft set theory was proposed by Molodtsov [], in 1999, as a mathematical instrument for dealing with uncertainty. This theory is free of the obstacles associated with previous theories including fuzzy set theory [], rough set theory [], and so on. The nature of parameter sets related to soft sets, in particular, provides a uniform framework for modeling uncertain data. This has resulted in the rapid development of soft set theory in a short period of time, as well as diverse applications of soft sets in real life.
The mathematical area of topology known as general topology is concerned with the core set-theoretic principles and procedures. The Kuratowski closure axioms [] are a collection of axioms that can be used to establish a topological structure on a set in topology and related disciplines of mathematics. They are the same as the more widely used open set concept. The closure system of axioms is significant in domain theory, and also has real applications (see [] for more details).
Influenced by the standard postulates of traditional topological space, Shabir and Naz [], and Çağman et al. [], separately, established another branch of topology known as “soft topology”, which is a mixture of soft set theory and topology. It focuses on the development of the system of all soft sets. The study in [,], in particular, was essential in building the subject of soft topology. Despite the fact that many studies followed their directions and many ideas appeared in soft contexts (see, [,,,]), significant contributions can indeed be made. Hence, we generalize the Kuratowski closure system together with five other operators in soft settings. The role of these operators is to characterize soft topologies over a domain set. Some operators and bioperators have been explored via soft topologies []. The symmetry between soft topology and its parametric topologies was investigated by Al-shami and Kočinac []. Under an extended soft topology, they proved that  and , which obviously shows the symmetry of soft interior and closure operators with their classical topological counterparts. This symmetry between soft topology and its parametric topologies has been recently investigated for some kinds of soft separation axioms as illustrated in [,].
It is well known that soft topologies form a family of parametric classical topologies. In contrast, producing soft topologies from classical topologies was studied in some published literature, such as [,,]. Investigation of the methods of producing soft topologies is among the most important and interesting notions concerning soft topologies because they are employed to build various classes of soft topological spaces, as well as providing a new environment to discuss and characterize topological concepts, such as the compactness, connectedness, and separation axioms. This matter motivated us to generate new types of soft topologies using different types of soft operators, which represent a rich area for discussion of topological concepts and researching their characterizations.
The body of the paper is structured as follows: In Section 2, we present an overview of the literature on soft set theory and soft topology. More precisely, the main properties of soft closure, soft interior, soft boundary, soft exterior and soft derived set of a soft set with respect to underlying soft topological space are considered. Section 3 focuses on the concepts of soft set operators and their implications for characterizing soft topologies over domain sets. Section 4 illustrates that, by omitting an axiom from the stated operators, we can still attain a soft topology but lose uniqueness. We end our paper, in Section 5, with a brief discussion and conclusions.
2. Preliminaries
Let X be a domain set and  be a set of parameters. An ordered pair  is said to be a soft set over X, where  is a set-valued mapping. The set of all soft sets on X parameterized by  is identified by . A soft set  (or simply  is the complement of , where  is given by  for each . A soft set  is called a null soft set, denoted by , if  for each ,  it is called an absolute soft set, denoted by , if  for each . Evidently,  and . A soft point [] is a soft set  over X in which  for each , where , and is denoted by . It is said that a soft point  is in  (briefly, ) if  for each . On the other hand,  if  for some . This implies that if , then . A soft element [,], denoted by , is a soft set  over X in which  and  for each  with , where  and . An argument  means that . It is said that  is a soft subset of  (written by , []) if  and  for each , and  if  and . The union of soft sets  is represented by , where  for each , and the intersection of soft sets  is given by , where  for each , (see, []).
Definition 1 
([]). A collection  of  is said to be a soft topology on X if it has the next postulates:
- (T.1)
 - .
 - (T.2)
 - If , then .
 - (T.3)
 - If , then .
 
Terminologically, we call  a soft topological space on X. The elements of  are called soft open sets. The complements of every soft open (or elements of ) are called soft closed sets. The lattice of all soft topologies on X is referred to , (see, []).
Definition 2 
([]). Let  and . The soft closure of  is
      
        
      
      
      
      
    
Lemma 1 
([], Theorem 1). Let  and . The following properties are valid:
- 1.
 - , .
 - 2.
 - .
 - 3.
 - .
 - 4.
 - .
 - 5.
 - .
 - 6.
 - .
 - 7.
 - .
 
Definition 3 
([]). Let  and . The soft interior of  is
      
        
      
      
      
      
    
Lemma 2 
([], Theorem 2). Let  and . The following properties are valid:
- 1.
 - , .
 - 2.
 - .
 - 3.
 - .
 - 4.
 - .
 - 5.
 - .
 - 6.
 - .
 - 7.
 - .
 
Definition 4 
([]). Let  and . The soft exterior of  is .
Lemma 3. 
Let  and . The following properties are valid:
- 1.
 - , .
 - 2.
 - .
 - 3.
 - .
 - 4.
 - .
 - 5.
 - .
 - 6.
 - .
 
Proof.  
Theorems 6 & 8 in [] and Theorem 4 in [].    □
Definition 5 
([]). Let  and . The soft boundary of  is .
Lemma 4. 
Let  and . The following properties are valid:
- 1.
 - , .
 - 2.
 - .
 - 3.
 - .
 - 4.
 - .
 - 5.
 - .
 - 6.
 - .
 - 7.
 - .
 - 8.
 - .
 
Proof.  
Theorems 7 & 10 in [] and Theorem 17 in [].    □
Lemma 5. 
Let  and . The following properties are valid:
- 1.
 - .
 - 2.
 - .
 - 3.
 - .
 
Proof.  
Theorems 6 & 11 in [].    □
Definition 6 
([]). Let  and . A soft point  in  is called a soft limit point of  if  for all  with . The set of all soft limit points is symbolized by .
Lemma 6. 
Let  and . The following properties are valid:
- 1.
 - .
 - 2.
 - 3.
 - .
 - 4.
 - .
 - 5.
 - .
 - 6.
 - .
 
Proof.  
Theorem 15 in [].    □
It should be highlighted that several of the properties in the preceding lemmas are new, and their proofs are common; consequently, they have been disregarded.
3. Soft Operators and the Soft Topologies Generated by Them
The following two lemmas are presented before we begin with the definitions of soft operators:
Lemma 7. 
For  and , the following are equivalent:
- 1.
 - .
 - 2.
 - .
 - 3.
 - .
 - 4.
 - .
 
Proof.  
(1)⇒(2) Lemma 1 (5).
(2)⇒(3) Since , so .
(3)⇒(4) By (3), . Then, by Lemma 4 (2), . Thus (4) holds.
(4)⇒(1) Since  and , from Lemma 4 (2), we get  and so . Thus, .    □
Lemma 8. 
For , where I is any index, and , the following are valid:
- 1.
 - .
 - 2.
 - .
 - 3.
 - .
 - 4.
 - .
 - 5.
 - .
 - 6.
 - .
 
Proof.  
It is deduced from the lemmas presented in Section 2.    □
Definition 7 
(Soft Closure Operator). A mapping  is said to be a soft closure operator on X if it has the following properties for every :
- (C.1)
 - .
 - (C.2)
 - .
 - (C.3)
 - .
 - (C.4)
 - .
 
The following result illustrates how a closure operator derives a soft topology and concludes that the operator is a soft topological closure in this topology.
Before stating our theorem, we note that the monotonicity of c follows from (C.4). That is, if , then . Suppose , then . By axiom (C.4), , and thus, .
Theorem 1. 
Let c be a soft closure operator on X, and let . The system  is the unique soft topology on X having the property that  for every , and .
Proof.  
(T.1) Since , by (C.1), so . By (C.2), we have  which follows that . Therefore , and so .
(T.2) Given , then . Therefore,  and . By (C.4),
        
      
        
      
      
      
      
    
This implies that . But, , hence .
(T.3) Assume . Then  and for every i, we have that . Set . Then  for every i, and so  for every i. Therefore, , and by (C.2), . Hence, , which implies that . But, , thus . This proves that  is a soft topology on X.
We now show that  for every . Recalling that the closure of a set with respect to  is defined as . Since, by (C.2) and (C.3), , , then  and so . Hence . For the converse of the inclusion, since  and  is soft closed, then . Thus, .
The last claim directly follows.    □
Notice that the set of all fixed points of c constitutes a soft closed topological system (c.f. Lemma 7).
Definition 8 
(Soft Interior Operator). A mapping  is said to be a soft interior operator on X if it has the next postulates for every :
- (I.1)
 - .
 - (I.2)
 - .
 - (I.3)
 - .
 - (I.4)
 - .
 
Here, we note that if , then . By (I.4),  implies that .
The next result demonstrates that a soft interior operator produces a soft topology on X which is the set of all fixed points of i:
Theorem 2. 
Let i be a soft interior operator on X, and let . Then  is the unique soft topology on X having the property that  for every , and .
Proof.  
(T.1) Indeed,  because , see (I.1). From (I.2),  and  always hold, then . Thus .
(T.2) Assume . Then , . By (I.3), we have
        
      
        
      
      
      
      
    
Therefore, .
(T.3) If , then  for every j. By (I.2), one can get . It remains to prove that . By Lemma 8 (2), . But, for every j, , then
        
      
        
      
      
      
      
    
Thus,  implies . Hence  is a soft topology.
The soft interior with respect to  is given by . By (I.3), , and  always, so . Hence, . On the other hand, since   and , then  and . Therefore,  and hence .
The range of i can be concluded from Lemma 2 (5).    □
Definition 9 
(Soft Boundary Operator, I). A mapping  is said to be a soft boundary operator on X if it has the next postulates for every :
- (B.1)
 - .
 - (B.2)
 - .
 - (B.3)
 - .
 - (B.4)
 
Lemma 9. 
Let  and . If , then  for every  with .
Proof.  
Since , then . Put this in (B.4) implies
        
      
        
      
      
      
      
    
By assumption, , hence .    □
The following result shows that a boundary operator yields a soft topology on X:
Theorem 3. 
Let b be a soft boundary operator on X that satisfies the axioms in Definition 9, and let . Then  is the unique soft topology on X having the property that  for every , and .
Proof.  
(T.1) By (B.1),  implies . Furthermore, applying (B.1), (B.2), we obtain . Thus, .
(T.2) Suppose . Then  and . Now, consider (B.4),
        
      
        
      
      
      
      
    
(T.3) Assume . We need to prove that . Since, for every i, , then . Since  for every i, so by Lemma 9,  for every i. Therefore,
        
      
        
      
      
      
      
    
Thus,  and hence  is a soft topology on X.
Now, we examine that  for every . We start by showing that for every ,  is a soft closed set including . By Lemma 5 (1), a soft set  is closed if and only if  if and only  (by (B.3)). Therefore, we must check that
        
      
        
      
      
      
      
    
Set , , and substitute them in (B.4), yields
        
      
        
      
      
      
      
    
Applying (B.2) and after some computations, we get
        
      
        
      
      
      
      
    
By (B.3), , so , and thus
        
      
        
      
      
      
      
    
This proves that  is soft closed.
For showing , we shall recall that . Now,
        
      
        
      
      
      
      
    
For the other direction, we have to prove that  reduces to . If , then . Since  is soft closed, then  We apply (B.4) for , , and get
        
      
        
      
      
      
      
    
        where . This turns into
        
      
        
      
      
      
      
    
Since , therefore
        
      
        
      
      
      
      
    
But  implies that , a contradiction. Hence  for every .
The last claim follows from Lemma 5 (1).    □
Definition 10 
(Soft Boundary Operator, II). A mapping  is said to be a soft boundary operator on X if it has the next postulates for every :
- (B’.1)
 - .
 - (B’.2)
 - .
 - (B’.3)
 - .
 - (B’.4)
 - implies .
 - (B’.5)
 - .
 
The following result shows that the boundary operator defined above provides a soft topology on X:
Theorem 4. 
Let b be a soft boundary operator on X that satisfies the axioms in Definition 10, and let . The system  is the unique soft topology on X such that  for every .
Proof.  
We begin by illustrating that the operator  fulfills the axioms stated in Definition 7.
(C.1) .
(C.2) .
(C.3)
        
      
        
      
      
      
      
    
(C.4) The first direction can be computed as:
        
      
        
      
      
      
      
    
Following the similar steps established in the proof of Theorem 1, one can show that  is the unique soft topology on X. In which for every , the soft boundary of  is
        
      
        
      
      
      
      
    
□
Remark 1. 
If , then  also produces another soft topology on X, but . Other systems can be provided and the resulting soft topologies are either dual or equivalent.
Definition 11 
(Soft Boundary Operator, III). A mapping  is said to be a soft boundary operator on X if it has the following postulates for every :
- (B*.1)
 - .
 - (B*.2)
 - .
 - (B*.3)
 - .
 - (B*.4)
 - implies .
 - (B*.5)
 - .
 
We now show that the set of axioms mentioned in Definitions 10 and 11 are equivalent. We need only to work on (B’.3) and (B*.3).
Lemma 10. 
(1) If (B’.3) and (B’.5) hold, then (B*.3) holds.
(2) If (B*.2), (B*.3), and (B*.4) hold, then (B’.3) holds.
Proof.  
(1) By (B’.5), . Since , so
        
      
        
      
      
      
      
    
        follows, i.e., (B*.3).
(2) Since for every , . By (B*.3) and (B*.4),
        
      
        
      
      
      
      
    
For the complement  of , we also have . Apply (B*.2) and get
        
      
        
      
      
      
      
    
Thus (B’.3) holds.    □
Definition 12 
(Soft Exterior Operator). A mapping  is said to be a soft exterior operator on X if it has the following postulates for every :
- (E.1)
 - .
 - (E.2)
 - .
 - (E.3)
 - .
 - (E.4)
 - .
 
Theorem 5. 
Let e be a soft exterior operator on X. The system  is the unique soft topology on X such that  for every .
Proof.  
Theorem 2 will finish the proof whenever we show that e fulfills the interior operator axioms.
(I.1)  (by (E.1)).
(I.2)  (by (E.2)).
(I.3)  (by (E.3)).
(I.4) 
Therefore,  is the unique soft topology on X such that  for every .    □
Definition 13 
(Soft Derived Set Operator). A mapping  is said to be a soft derived set operator on X if it satisfies the following axioms for every :
- (D.1)
 - .
 - (D.2)
 - .
 - (D.3)
 - .
 - (D.4)
 - .
 
Remark 2. 
If , then,  (by (D.4)).
Lemma 11. 
If an operator  is defined by  for every , then  (c is a soft closure operator, see Definition 7).
Proof.  
(C.1) Since , so .
(C.2) Since , then .
(C.3)  (by (D.3)).
(C.4) , by (D.4) and some simplification, we have . Thus, .    □
Theorem 6. 
Let d be a soft derived set operator on X, and let . The system  is the unique soft topology on X having the property that  for every .
Proof.  
(T.1) By (D.1), , so . By definition of d, , then . Thus, .
(T.2) Let . Then . Therefore,  and , and so . Apply (D.4) and obtain . Thus,  implies .
(T.3) Let . Then, for every i, . Therefore,  for every i. Since  for any i, by Remark 2, . Thus, . This shows that  and consequently, .
The uniqueness of  follows from Theorem 1 and Lemma 2.
Now, by Theorem 1, . By Lemma 6 (1), . Then  for every . More precisely, , for every . This means that . By (D.2), . By Lemma 6 (2), . Hence, , and so .    □
Definition 14 
(Soft Coderived Set Operator). A mapping  is said to be a soft co-derived set operator on X if it satisfies the following axioms for every :
- (D.1)
 - .
 - (D.2)
 - .
 - (D.3)
 - .
 - (D.4)
 - .
 
Remark 3. 
Similar to the soft derived set operator, the soft co-derived operator can be used to define a unique soft topology on X that meets the axioms stated above. The proposed soft topology is , which is the dual of soft topology  constructed in Theorem 6.
4. Some Examples
In this section, we show that, by removing an axiom from the operators defined earlier, we may still obtain a soft topology, but we miss some properties.
Example 1. 
Let  and let E be any parameters set. Define a soft operator  by:
      
        
      
      
      
      
    
We can simply verify that α meets all soft closure operator axioms except (C.3). On the other hand, a soft topology formed by α (in Theorem 1) is . Therefore, , but .
Example 2. 
Let X be a set and let E be a parameters set. Define a soft operator by:
      
        
      
      
      
      
    
Then β satisfies all soft derived set operator axioms except (D.2), and β generates the soft discrete topology. Therefore, every soft subset of  includes all of its soft limits points, but this is not the case for all soft topology. That  may not be a soft limit point of .
The next examples explain how these soft operators naturally generate soft topologies.
Example 3. 
Let X be a set and E be a parameters set. Define a soft operator  by:
      
        
      
      
      
      
    
It is clear that  and for any soft set  we have  and . Also,  for any soft sets  and . Thus, γ satisfies the axioms in Definition 7, and it forms the soft indiscrete topology . On the other hand, γ does not satisfy (I.4) of the soft interior operator given in Definition 8.
Example 4. 
Let X be an infinite set and let E be a parameters set. Define a soft operator λ:  by:
      
        
      
      
      
      
    
One can verify that all axioms in Definition 7. By Theorem 1 and Lemma 1, every finite soft set is soft closed together with . Accordingly, Φ and all  such that  is finite are soft open. Therefore, the obtained  is the soft co-finite topology on X.
Example 5. 
Let X be a set and E be a parameters set. For a fixed , we define a soft operator  as follows:
      
        
      
      
      
      
    
Then ρ meets all the axioms in Definition 8. Therefore, for a soft point , ρ forms a soft topology  or dually . The soft topologies  are, respectively, called included point soft topology and excluded point soft topology on X.
5. Conclusions
In this paper, we have considered a closure operator as an extension of the set of axioms that postulates a topological system. Five other axiomatized set operators have been introduced: soft interior operator, soft boundary operators, soft exterior operator, soft derived set operator, and soft co-derived set operator. Three different versions of soft boundary operators have been defined under which all generated soft topologies are equivalent. The interactions between these six soft operators are comparable to their relationships in a soft topological space, so topological descriptions, which are based on the linked connections between these soft operators and their corresponding fixed points, can be enlarged to the general setting of an arbitrary closure system. As a result, our axiomatized soft set operators in closure systems throw fresh light on the interaction between soft topology and fixed point theory. Multiple examples have been proposed that show the implementations of these operators. Some of the examples show that by weakening a set of axioms of any soft operator, the uniqueness of the resulting soft topologies will be dropped.
We remarked that all the obtained results are valid when implementing the concept of soft elements except for the last two soft operators. The reason is  for soft points, (see, Example 3.21 in []). Even more, if we assume  to be the set of all soft point x for which every soft open set including x intersects , we may not get a unique soft topology (see, Example 3.14 in []).
To complete this line of research, we plan to characterize new kinds of soft separation axioms using some soft topological operators. In addition, we will reveal the relationships between these soft operators and their counterparts via classical topologies.
Author Contributions
Conceptualization, Z.A.A. and T.M.A.-s.; methodology, A.A.A., Z.A.A., T.M.A.-s. and M.E.E.-S.; formal analysis, A.A.A., Z.A.A., T.M.A.-s. and M.E.E.-S.; writing—original draft preparation, Z.A.A. and T.M.A.-s.; investigation, A.A.A., Z.A.A., T.M.A.-s. and M.E.E.-S. and A.A.A.; funding acquisition, A.A.A. and M.E.E.-S.; writing—review and editing, Z.A.A. and T.M.A.-s. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
No data were used to support this study.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Molodtsov, D. Soft set theory—First results. Comput. Math. Appl. 1999, 37, 19–31. [Google Scholar] [CrossRef] [Green Version]
 - Zadeh, L. Fuzzy sets. Inf. Control 1965, 8, 338–353. [Google Scholar] [CrossRef] [Green Version]
 - Pawlak, Z. Rough sets. Int. J. Comput. Inf. Sci. 1982, 11, 341–356. [Google Scholar] [CrossRef]
 - Kuratowski, C. Sur l’opération a de l’analysis situs. Fundam. Math. 1922, 3, 182–199. [Google Scholar] [CrossRef]
 - Lei, Y.; Zhang, J. Generalizing topological set operators. Electron. Notes Theor. Comput. Sci. 2019, 345, 63–76. [Google Scholar] [CrossRef]
 - Shabir, M.; Naz, M. On soft topological spaces. Comput. Math. Appl. 2011, 61, 1786–1799. [Google Scholar] [CrossRef] [Green Version]
 - Çağman, N.; Karataş, S.; Enginoglu, S. Soft topology. Comput. Math. Appl. 2011, 62, 351–358. [Google Scholar] [CrossRef] [Green Version]
 - Alcantud, J.C.R. Soft open bases and a novel construction of soft topologies from bases for topologies. Mathematics 2020, 8, 672. [Google Scholar] [CrossRef]
 - Al-Ghour, S. On two classes of soft sets in soft topological spaces. Symmetry 2020, 12, 265. [Google Scholar] [CrossRef] [Green Version]
 - Georgiou, D.N.; Megaritis, A.C.; Petropoulos, V.I. On soft topological spaces. Appl. Math. Inf. Sci. 2013, 7, 1889–1901. [Google Scholar] [CrossRef]
 - Hida, T. A comprasion of two formulations of soft compactness. Ann. Fuzzy Math. Inform. 2014, 8, 511–524. [Google Scholar]
 - Asaad, B.A.; Al-shami, T.M.; Mhemdi, A. Bioperators on soft topological spaces. AIMS Math. 2021, 6, 12471–12490. [Google Scholar] [CrossRef]
 - Al-shami, T.M.; Kocinac, L.D.R.K. The equivalence between the enriched and extended soft topologies. Appl. Comput. Math. 2019, 18, 149–162. [Google Scholar]
 - El-Shafei, M.E.; Al-shami, T.M. Applications of partial belong and total non-belong relations on soft separation axioms and decision-making problem. Comput. Appl. Math. 2020, 39, 138. [Google Scholar] [CrossRef]
 - El-Shafei, M.E.; Abo-Elhamayel, M.; Al-shami, T.M. Partial soft separation axioms and soft compact spaces. Filomat 2018, 32, 4755–4771. [Google Scholar] [CrossRef]
 - Al-shami, T.M. New soft structure: Infra soft topological spaces. Math. Probl. Eng. 2021, 2021, 3361604. [Google Scholar] [CrossRef]
 - Allam, A.; Ismail, T.H.; Muhammed, R. A new approach to soft belonging. J. Ann. Fuzzy Math. Inform. 2017, 13, 145–152. [Google Scholar] [CrossRef]
 - Nazmul, S.; Samanta, S. Neighbourhood properties of soft topological spaces. Ann. Fuzzy Math. Inf. 2013, 6, 1–15. [Google Scholar]
 - Maji, P.K.; Biswas, R.; Roy, A.R. Soft set theory. Comput. Math. Appl. 2003, 45, 555–562. [Google Scholar] [CrossRef] [Green Version]
 - Ali, M.I.; Feng, F.; Liu, X.; Min, W.K.; Shabir, M. On some new operations in soft set theory. Comput. Math. Appl. 2009, 57, 1547–1553. [Google Scholar] [CrossRef] [Green Version]
 - Ghour, S.A.; Ameen, Z.A. Maximal soft compact and maximal soft connected topologies. Appl. Comput. Intell. Soft Comput. 2022, 2022, 9860015. [Google Scholar] [CrossRef]
 - Hussain, S.; Ahmad, B. Some properties of soft topological spaces. Comput. Math. Appl. 2011, 62, 4058–4067. [Google Scholar] [CrossRef] [Green Version]
 - Ahmad, B.; Hussain, S. On some structures of soft topology. Math. Sci. 2012, 6, 64. [Google Scholar] [CrossRef] [Green Version]
 - Thomas, J.; John, S.J. A note on soft topology. J. New Results Sci. 2016, 5, 24–29. [Google Scholar]
 
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.  | 
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).