Abstract
This paper aims to mark out new terms of single-valued neutrosophic notions in a Šostak sense called single-valued neutrosophic semi-closure spaces. To achieve this, notions such as -closure operators and -interior operators are first defined. More precisely, these proposed contributions involve different terms of single-valued neutrosophic continuous mappings called single-valued neutrosophic (almost , faintly , weakly ) and -continuous. Finally, for the purpose of symmetry, we define the single-valued neutrosophic upper, single-valued neutrosophic lower and single-valued neutrosophic boundary sets of a rough single-valued neutrosophic set in a single-valued neutrosophic approximation space . Based on and , we also introduce the single-valued neutrosophic approximation interior operator and the single-valued neutrosophic approximation closure operator .
Keywords:
single-valued neutrosophic β£-closure operators; β£-interior operators; single-valued neutrosophic almost β£-continuous; faintly β£-continuous; weakly β£-continuous; β£-continuous; single-valued neutrosophic approximation space; approximation interior operator; approximation closure operator 1. Introduction
Neutrosophic set theory has a very powerful influence given that is a recent section of philosophy that is presented as the study of origin, nature and scope of neutralities. The idea of neutrosophy is initiated by Smarandache [1] in 1999 as a new mathematical approach that corresponds to degree of indeterminacy (uncertainty, etc.). Moreover, the soft set theory was successfully applied to several directions, such as smoothness of functions and architecture-based neuro-linguistic programming (NLP) in the papers of Bakbak et al. [2] and Mishra et al. [3]. The concept of continuous mappings plays a crucial role in many branches of mathematics, such as, fuzzy set theory, algebra and quantum gravity (see [4]). El-Naschie also has shown that both string theory and theory are kind of some applications in quantum particle physics especially in relation to heterotic strings and were influenced by the fuzzy topology in ostak sense. [5].
In current times, the theory of neutrosophy has been recycled at various junctions of mathematics. More precisely, this theory has made an exceptional advancement in the field of topological spaces. Salama et al. [6,7,8] dispatched their works of neutrosophic topological spaces, following the method of Chang [9] in the situation of fuzzy topological spaces . Afterward, Hur et al. [10,11] presented NSet(H) and NCSet. Smarandache [12] defined the idea of neutrosophic topology on the non-standard interval. One can simply detect that the fuzzy topology familiarized by Chang is a crisp group of fuzzy subsets.
Šostak [13] determined that Chang’s style is crisp in nature and so he redefined the idea of fuzzy topology, frequently mentioned as smooth fuzzy topology, as a mapping from the group of all fuzzy subsets of to . Fang Jin-ming et al. and Zahran et al. [14,15] discussed the notion of foundation as a function from an appropriate collection of fuzzy subsets of X to . Saber et al. [16] found a parallel theory in the context fuzzy ideal topological space.
Wang [17], in 2010, established the idea of a single-valued neutrosophic set. In 2016, Gayyar [18] presented the notion of fuzzy neutrosophic topological spaces in a Šostak sense. The concept of the foundation for an ordinary single-valued neutrosophic topology was explored by Kim [19]. Several authors [20,21,22,23,24,25] posted their efforts for the idea of single-valued neutrosophic topological spaces . Others focusing their works on single valued neutrosophic relations, see [26,27]. Last but not least, in the sense that not only the objects are fuzzified, but also the axiomatics, the single-valued neutrsophic ideal theory was introduced in 1985 by Šostak [13] as a generalization of classical topological structures and as an extension of both crisp topology and Changs fuzzy topology.
In this article, preliminaries of single-value neutrosophic sets and single-valued neutrosophic topology are reviewed in Section 2. In Section 3, we define the notions of a single-valued neutrosophic semi-closure space. Some of their characteristic properties are considered. Further, we present and explore the properties and characterizations of the single-valued neutrosophic operators, namely -closure and -interior in the single-valued neutrosophic ideal topological space . The concepts of single-valued neutrosophic (almost, faintly, weakly) -continuous mappings are introduced and studied in Section 4. In Section 5, we introduce a new improved single-valued neutrosophic lower and single-valued neutrosophic upper sets by which we obtain a more reliable single-valued neutrosophic boundary region set of a single-valued neutrosophic set . From these single-valued neutrosophic lower and fuzzy upper sets, we define new single-valued neutrosophic interior and single-valued neutrosophic closure operators associated with a specific single-valued neutrosophic set .
2. Preliminaries
This section is devoted to bring a complete survey, some previous studies and important related notions to this work. Let us have a fixed universe to be a finite set of objects and a closed unit interval . We will also let to denote the set of all single-valued neutrosophic subsets of .
Definition 1
([12]). Let be a non-empty set. A neutrosophic set (briefly, ) in is an object having the form
where
and
represent the degree of membership (), the degree of indeterminacy () and the degree of non-membership (), respectively, of any to the set .
Definition 2
([17]). Suppose that is a universal set a space of points (objects), with a generic element in denoted by υ. Then, is called a single-valued neutrosophic set (briefly, ) in , if has the form
Now, indicate the degree of non-membership, the degree of indeterminacy and the degree of membership, respectively, of any element to the set .
Definition 3
([17]). Let be an SVNS on . The complement of the set (briefly ) defined as follows:
Definition 4
([9]). Let be a non-empty set, be in the form: and on then,
(a) for every;
(b) iffand.
(c) and.
Definition 5
([26]). Let . Then,
(a) is an SVNS, if for every ,
where, and , for all ,
(b) is an SVNS, if for every ,
Definition 6
([6]). For any arbitrary family of SVNS the union and intersection are given by
(a) ,
(b) .
Definition 7
([18]). A single-valued neutrosophic topological spaces is an ordered where is a mapping satisfying the following axioms:
(SVNT1) and .
(SVNT2) , ,
, for every ,
(SVNT3) , ,
, for every .
The quadruple is called a single-valued neutrosophic topological space (briefly, , for short). Occasionally we write for and it will cause no ambiguity.
Definition 8
([21]). Let be an SVNTS. Then, for every and . Then the single-valued neutrosophic closure and single-valued neutrosophic interior of are defined by:
Definition 9
([24,25]). Let be an and , . Then,
- (1)
- is said to be r-single-valued neutrosophic semi-open (briefly, r-SVNSO) iff
- (2)
- is said to be r-single-valued neutrosophic β-open (briefly, r-SVNβO) iff
- (3)
- is said to be r-single-valued neutrosophic regular open (briefly, r-SVNRO) iff
The complement of r-SVNSO (resp, r-SVNO) are said to be r-SVNSC(resp, r-SVNC)), respectively.
Definition 10
([21]). Let be a non-empty set and , let , and , then the single-valued neutrosophic point in given by
We say that, iff , and . We indicate the set of all single-valued neutrosophic points in as . A single-valued neutrosophic set is said to be quasi-coincident with another single-valued neutrosophic set , denoted by , if there exists an element such that
Definition 11
([21]). A mapping is called single-valued neutrosophic ideal () on if it satisfies the following conditions:
() and .
() If then ,
and , for every .
() ,
and , for every .
The triable is called a single-valued neutrosophic ideal topological space in the Šostak sense (briefly, ).
Definition 12
([21]). Let be an SVNITS for each . Then, the single-valued neutrosophic ideal open local function of is the union of all single-valued neutrosophic points such that if and , , , then there is at least one for which
Occasionally, we will write for and it will have no ambiguity.
Remark 1
([21]). Let be an SVNITS and , we can define
Clearly, is a single-valued neutrosophic closure operator and is the single-valued neutrosophic topology generated by , i.e.,
Definition 13
(25). An SVNS δ in is called a single-valued neutrosophic relation (SVNR) in , denoted by , where , and denote the truth-membership function, indeterminacy membership function and falsity-membership function of δ, respectively. In what follows, SVNR() will denote the family of all single-valued neutrosophic relations in .
3. Single-Valued Neutrosophic Semi-Closure Spaces in Šostak Sense
We begin this section by defining the notion of single-valued neutrosophic semi-closure space. Some of its characteristic properties are considered. Further, we present and explore the properties and characterizations of the single-valued neutrosophic operators, namely -closure and -interior in the single-valued neutrosophic ideal topological space .
Definition 14.
A mapping is called a single-valued neutrosophic semi-closure operator on if, for every and , the following axioms are satisfied:
() ,
() ,
() ,
() if ,
() .
The pair is a single-valued neutrosophic semi-closure space ().
If and are single-valued neutrosophic closure operators on . Then, is finer than , denoted by iff , for every and .
Theorem 1.
Let be an SVNTS. Then, for any and , we define an operator as follows:
Then, is an .
Proof.
Suppose that is an . Then, , and () follows directly from the definition of .
() Since we obtain and , therefore,
Let be an . From (), we have
It implies that and
Hence, ; therefore,
() Suppose that there exists , and such that
By the definition of , there exists an with and that is r-SVNSC such that
Since and is r-SVNSC, by the definition of , we have
It is a contradiction. Thus, . Hence, is a single-valued neutrosophic semi-closure operator on . □
Theorem 2.
Let be an SVNSCS and . Define the mapping on by
Then,
- (1)
- is an SVNTS on ;
- (2)
- is finer than .
Proof.
(SVNT1) Let be an . Since and for every ,
(SVNT2) Let be an . Suppose that there exists such that
There exists such that
For each , there exists with such that
In addition, since by and of Definition 13, for any ,
It follows that , and . It is a contradiction. Thus, for every , , and .
(SVNT3) Suppose that there exists such that
There exists such that
For every , there exists and such that
In addition, since , by of Definition 13,
It implies, for all ,
It follows that
Thus, , that is, , and . It is a contradiction. Hence, is an on .
Since ,
From of Definition 9, we have . Thus, is finer than . □
Example 1.
Let . Define as follows:
We define the mapping as follows:
Then, is a single-valued neutrosophic closure operator.
From Theorem 2, we have a single-valued neutrosophic topology on as follows:
Thus, the is a single-valued neutrosophic topology on .
Theorem 3.
Let be an SVNTS. Then, for any and , we define an operator as follows:
For each and the operator satisfies the following conditions:
- (1)
- ,
- (2)
- ,
- (3)
- ,
- (4)
- if ,
- (5)
- .
Proof.
From the Definition of , the proof can be performed □
Definition 15.
Let be an SVNTS, , and . Then,
- (1)
- is called r-single-valued neutrosophic -neighborhood of if with
- (2)
- is called r-single-valued neutrosophic θ-cluster point (r--cluster point) of if for any , we have ,
- (3)
- r-θ-closure operator is a mapping defined as:
- (4)
- is said to be r--closed iff . We define
Theorem 4.
Let be an SVNTS. For and . The following properties hold:
- (1)
- If ,
- (2)
- If , then
- (3)
- , , , }.
- (4)
- ,
- (5)
- is r--closed,
- (6)
- .
Proof.
(1) and (2) are easily proved from Definition 14.
(3) , , , }. Suppose that , then there exists and such that
Then is not r-θ-cluster point of . So, there exists , and . Thus, and , , . Hence,
It is a contradiction for Equation (1). Thus .
Suppose that , then there exists r-θ-cluster point of of such that
By definition of , there exists with and , , such that
Then . Furthermore, which implies . Hence is not an r-θ-cluster point of . It is a contradiction for Equation (2). Thus .
(4) Let for each . Then
So, . Hence, .
(5) It is directly obtained from (4).
(6) Since , by (5), we have . □
Definition 16.
Let be an SVNITS and , . Then, is said to be r-single-valued neutrosophic -open (briefly, r-SVNO) iff . The complement of r-SVNβO is said to be r-SVNβC.
Remark 2.
Let be an SVNITS. For , and . Then, is called r-open -neighborhood of if with is r-SVNO set, denoted as:
Definition 17.
Let be an SVNITS. For each and , we define the operators as follows:
Theorem 5.
Let be an SVNITS and . Then,
- (1)
- ,
- (2)
- ,
- (3)
- ,
- (4)
- ,
- (5)
- ,
- (6)
- isr-SVNCiff ,
- (7)
- ,
- (8)
- .
Proof.
(1), (2), (3), (4), (5) and (6) are easily proved from the definitions of and .
(7) From (4) we only show . Suppose that
there exist and such that
Since and by definition there exists r-SVNC set with such that
Since , Again, by the definition of we have . Hence
It is a contradiction for Equation (1).
(8) Since
Hence, is an r-SVNO set contained in and so . Since is an r-SVNO set, we have
So, . Hence
□
4. New Terms of Single-Valued Neutrosophic Continuity
In this section, we introduce and characterize new classes of mappings called single-valued neutrosophic almost , faintly , weakly and -continuous mappings. These findings lead to many theorems and consequences. Using these different attributes, we provide an example at the end of this section to show the difference between these kinds of mappings.
Definition 18.
Let be a mapping. Then, f is called single-valued neutrosophic almost -continuous mapping (SVNAC, for short) iff for each there exists such that .
Lemma 1.
For any single-valued neutrosophic set in an SVNTS and , if , then .
Lemma 2.
For any single-valued neutrosophic set in an SVNTS and , if is r-SVNβO, then .
Theorem 6.
Let be a mapping for each and . Then the following statements are equivalent:
- (1)
- f is SVNAC,
- (2)
- For every ,
- (3)
- for every , , .
Proof.
(1)⇒(2): Let . Then by (1), there exists such that . Since, , , . by Lemma 1, . Hence, . Since is r-SVNO set,
Since, we obtain .
(2)⇒(3): Let and , , , by (2), we have
Since we obtain Hence, by Theorem 5(8),
Thus, implies . Hence
(3)⇒(1): Let . and since . Then by (3), . Since, is r-SVNO set, . Moreover,
by Lemma 1, . □
Theorem 7.
Let be a mapping for each , and . Then the following statements are equivalent:
- (1)
- f is SVNAC,
- (2)
- is an r-SVNO set in , for every , , ,
- (3)
- is an r-SVNC set in , for each , , ,
- (4)
- is an r-SVNO set in , for each r-SVNRO set ,
- (5)
- is an r-SVNC set in , for each r-SVNRC set ,
- (6)
- For each there exists such that ,
- (7)
- for each , , ,
- (8)
- for each , , ,
- (9)
- for each , , ,
- (10)
- for each r-SVNβO set ,
- (11)
- for each r-SVNSO set .
Proof.
(1)⇒(2): Let and is r-SVNRO set in . Then . Since f is SVNAC, then there exists such that . So,
Thus, implies , Hence,
Therefore is an r-SVNO set in .
(2)⇒(3): Let , , . Then, by (2), is r-SVNO set. This yields to be an r-SVNC set in .
(3)⇒(4): Let be an r-SVNRO set in . Then, , , . From (3), we have is r-SVNC set. Hence, is r-SVNO set in .
(4)⇒(5): It is easily proved from (4) and the fact that .
(5)⇒(6): Let . Then and is r-SVNRO, which implies that is r-SVNRC. By (5), is an r-SVNC set. Then, is r-SVNO. Put . Then and
Since , , and by Lemma 1, we have
(6)⇒(7): Let and , , . Then, by (6), there exists such that . Thus, Since is r-SVNO set,
Thus, implies . Hence,
(7)⇒(8): Let , , . Then by (7),
Then, .
(8)⇒(9): Since , , , by (8) and Lemma 1, we have
(9)⇒(10): Let be an r-SVNβO set in Then by Lemma 2,
and hence , , by (9), we have
Since we obtain
(10)⇒(11): It is easily proved from Definition 9.
(11)⇒(1): Obvious. □
Theorem 8.
Let be a mapping for each , and . Then the following statements are equivalent:
- (1)
- f is SVNAC,
- (2)
- ,
- (3)
- , for every , , ,
- (4)
- , for every , , ,
- (5)
- , for every , , ,
- (6)
- , for every , , ,
- (7)
- , for every , , .
Proof.
(1)⇒(2): Let and Then, and since , , . Then, , By SVNAC of , there exists such that
It implies that . Since is SVNAO set in
Thus, implies . Hence,
Thus,
(2)⇒(3): It is trivial.
(3)⇒(4): Since , , , we have By (3), we have
(4)⇒(5): Since , , , we have , , . and by Lemma 1, we have . From (4), we have
It implies that .
(5)⇒(6): Let , , . Then by (5), we have
(6)⇒(7): It is easily proved from Lemma 1.
(7)⇒(1): Let , then and , , . From (7), . Since , , , and By Theorem 6(2), we have f is SVNAC. □
Definition 19.
Let be a mapping. Then,
- (1)
- f is called single-valued neutrosophic faintly -continuous (SVNFC, for short) iff for every , there exists such that ,
- (2)
- f is called single-valued neutrosophic weakly -continuous (SVNWC, for short) iff for every , there exists such that ,
- (3)
- f is called single-valued neutrosophic -continuous (SVNC, for short) iff is r-SVNO, for every , , .
Remark 3.
From the above definition we obtain the following diagram:
Some supporting examples will be shown after the following two theorems.
Theorem 9.
Let be a mapping. Then the following statements are equivalent:
- (1)
- f is SVNWC,
- (2)
- , for each ,
- (3)
- for each ,
- (4)
- is r-SVNC set in for each r-θ-closed set,
- (5)
- isr-SVNO set in for each r-θ-open set.
Proof.
(1)⇒(2) Suppose there exists and such that . Then there exists and such that
If , provides a contradiction that . If , there exists such that
Since , and . Then, is not r-θ-cluster point of , there exists such that . By SVNWC of f, there exists such that . Thus, implies . Hence
It is a contradiction for Equation (2).
(2)⇒(3), (3)⇒(4) and (4)⇒(5): are obvious.
(5)⇒(1): Let . Then and is r- -open set. By (5), we have is r-SVNO set in . Since we obtain and hence from . Then, f is SVNWC. □
Theorem 10.
A mapping is SVNFC iff for eachr--closed set is r-SVNC.
Proof.
Obvious. □
Example 2.
Let . Define as follows:
We define the mapping as follows:
From Theorems 4 and 5, we obtain as follows:
By Theorem 9(2), the identity mapping is SVNWC but is not SVNAC, because by Theorem 8(5), for each , , and ,
5. Single-Valued Neutrosophic Approximation Space
In this section, and for symmetrical purposes, we establish the definition of the single-valued neutrosophic upper, single-valued neutrosophic lower and single-valued neutrosophic boundary sets of a rough single-valued neutrosophic set in a single-valued neutrosophic approximation space . Based on and , we introduce the single-valued neutrosophic approximation interior operator and the single-valued neutrosophic approximation closure operator .
Definition 20.
Assume that an SVNR δ is defined so that for every , , , for every and , and for every . That is, δ is a single-valued neutrosophic equivalence relation on . Then is called a single-valued neutrosophic approximation space based on the single-valued neutrosophic equivalence relation (briefly, SVN-equivalence relation) δ on .
Definition 21.
For each , define a single-valued neutrosophic coset by:
All elements with SVNR value are elements having a membership value in the single-valued neutrosophic coset , and any element with is not included in the single-valued neutrosophic coset . Any single-valued neutrosophic coset surely include the element , and consequently
Further,
such that . Clearly, if , then the single-valued neutrosophic cosets (as SVNSs) are containing the same elements of with some non-zero membership values, and moreover, if and , then it must be that and whenever . That is, any two single-valued neutrosophic cosets are either two single-valued neutrosophic sets containing the same elements of with some non-zero membership values or containing completely different elements of with some non-zero membership values.
Definition 22.
Let and δ be SVN-equivalence relation on and the single-valued neutrosophic cosets. Then, the single-valued neutrosophic lower set (briefly, SVN-lower) , the single-valued neutrosophic upper set (briefly, SVN-upper) and the single-valued neutrosophic boundary region set (briefly, SVN-boundary region) are defined as follows: for ,
, and are then called SVN-lower, SVN-upper and SVN-boundary region sets associated with the SVNS and based on the SVN-equivalence relation δ in a single-valued neutrosophic approximation space .
From (5) and (6), we obtain that , and for each . Whenever so that , and we obtain that , and , and then from (7), we obtain , and . Otherwise, , and .
Theorem 11.
For any SVNS we find that
- (1)
- and ,
- (2)
- ,
- (3)
- ,
- (4)
- , implies that and ,
- (5)
- ,
- (6)
- ,
- (7)
- and ,
- (8)
- ,
- (9)
- .
Proof.
Obvious. □
Example 3.
Let δ be an SVNR on a set as shown below.
Assume that . Then, the single-valued neutrosophic cosets are as follows:
Hence, and
Hence, . Similarly, we can obtain ; therefore, , and then .
Definition 23.
The single-valued neutrosophic approximation interior operator is defined as follows:
That is associated with an SVNS in a single-valued neutrosophic approximation space .
Theorem 12.
The following conditions are satisfied
- (1)
- ,
- (2)
- ,
- (3)
- ⇒ , ,
- (4)
- ,
- (5)
- .
Proof.
For (1): .
For (2): .
For (3): then ⇒.
For (4): .
For (5): Similarly to (4). □
Thus, this is called a single-valued neutrosophic interior associated with in the single-valued neutrosophic approximation space generating a single-valued neutrosophic topology defined by:
Definition 24.
The single-valued neutrosophic approximation closure operator is defined as follows:
Theorem 13.
The single-valued neutrosophic approximation closure operator satisfies the following conditions:
- (1)
- ,
- (2)
- ,
- (3)
- ⇒, ,
- (4)
- and ,
- (5)
- .
Proof.
Similar to the proof of Theorem 12. □
6. Conclusions
In this paper, we defined the single-valued neutrosophic semi-closure space (SVNSCS). It has been proven that every is a single-valued neutrosophic ideal topological space on . It has also been proven that every is finer than (see Theorem 2). In addition, single-valued neutrosophic operators, namely and , are constructed from a single-valued neutrosophic topological space ) (see Theorem 5). Next, the concepts of a single-valued neutrosophic almost -continuous, single-valued neutrosophic faintly -continuous and single-valued neutrosophic weakly -continuous based on a single-valued neutrosophic ideal were introduced and studied (see Theorems 6–8). Finally, we introduced the single-valued neutrosophic sets , , for a single-valued neutrosophic set that explains the single-valued neutrosophic roughness of the single-valued neutrosophic set . We introduced the notion of single-valued neutrosophic approximation space and the related single-valued neutrosophic topology.
7. Discussion for Further Works
The theories that were used in this article could be extended to study some similar notions in the neutrosophic metric topological spaces.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Acknowledgments
The author would like to express his sincere thanks to the Referees for their valuable comments and suggestions, which led to the improvement of this work.
Conflicts of Interest
The author declares that there is no conflict of interest regarding the publication of this manuscript.
References
- Smarandache, F. A Unifying Field in Logics, Neutrosophy: Neutrosophic Probability, Set and Logic; American Research Press: Rehoboth, NM, USA, 1999. [Google Scholar]
- Bakbak, D.; Uluçay, V.; Şahin, M. Neutrosophic Soft Expert Multiset and Their Application to Multiple Criteria Decision Making. Symmetry 2018, 7, 50. [Google Scholar]
- Mishra, K.; Kandasamy, I.; Kandasamy, V.; Smarandache, F. A Novel Framework Using Neutrosophy for Integrated Speech and Text Sentiment Analysis. Symmetry 2020, 12, 1715. [Google Scholar]
- El Naschie, M.S. Quantum gravity, Clifford algebras, fuzzy set theory and the fundamental constants of nature. Chaos Solitons Fractals 2004, 20, 437–450. [Google Scholar] [CrossRef]
- El Naschie, M.S. On the unification of heterotic strings, M theory and ε∞ theory. Chaos Solitons Fractals 2000, 11, 2397–2408. [Google Scholar] [CrossRef]
- Salama, A.A.; Alblowi, S.A. Neutrosophic set and neutrosophic topological spaces. IOSR J. Math. 2012, 3, 31–35. [Google Scholar] [CrossRef]
- Salama, A.A.; Smarandache, F.; Kroumov, V. Neutrosophic crisp sets and neutrosophic crisp topological spaces. Neutrosophic Sets Syst. 2014, 2, 25–30. [Google Scholar]
- Salama, A.A.; Smarandache, F. Neutrosophic Crisp Set Theory; Educational Publisher: Columbus, OH, USA, 2015. [Google Scholar]
- Chang, C.L. Fuzzy Topological Spaces. J. Math. Anal. Appl. 1968, 24, 182–190. [Google Scholar] [CrossRef] [Green Version]
- Hur, K.; Lim, P.K.; Lee, J.G.; Kim, J. The category of neutrosophic sets. Neutrosophic Sets Syst. 2016, 14, 12–20. [Google Scholar]
- Hur, K.; Lim, P.K.; Lee, J.G.; Kim, J. The category of neutrosophic crisp sets. Ann. Fuzzy Math. Inform. 2017, 14, 43–54. [Google Scholar] [CrossRef]
- Smarandache, F. A Unifying Field in Logics: Neutrosophic Logic. Neutrosophy, Neutrosophic Set, Neutrosophic Probability and Statistics, 6th ed.; InfoLearnQuest: Ann Arbor, MI, USA, 2007; Available online: http://fs.gallup.unm.edu/eBook-neutrosophics6.pdf (accessed on 10 February 2019).
- Šostak, A. On a fuzzy topological structure. In Circolo Matematico di Palermo, Palermo; Rendiconti del Circolo Matematico di Palermo, Proceedings of the 13th Winter School on Abstract Analysis, Section of Topology, Srni, Czech Republic, 5–12 January 1985; Circolo Matematico di Palermo: Palermo, Italy, 1985; pp. 89–103. [Google Scholar]
- Fang, J.M.; Yue, Y.L. Base and Subbase in I-fuzzy Topological Spaces. J. Math. Res. Expos. 2006, 26, 89–95. [Google Scholar]
- Zahran, A.M.; Abbas, S.E.; Abd El-baki, S.A.; Saber, Y.M. Decomposition of fuzzy continuity and fuzzy deal continuity via fuzzy idealization. Chaos Solitons Fractals 2009, 42, 3064–3077. [Google Scholar] [CrossRef]
- Saber, Y.M.; Abdel-Sattar, M.A. Ideals on fuzzy topological spaces. Appl. Math. Sci. 2014, 8, 1667–1691. [Google Scholar] [CrossRef]
- Wang, H.; Smarandache, F.; Zhang, Y.Q.; Sunderraman, R. Single valued neutrosophic sets. Multispace Multistruct. 2010, 4, 410–413. [Google Scholar]
- El-Gayyar, M. Smooth neutrosophic topological spaces. Neutrosophic Sets Syst. 2016, 65, 65–72. [Google Scholar]
- Kim, J.; Smarandache, F.; Lee, J.G.; Hur, K. Ordinary Single Valued Neutrosophic Topological Spaces. Symmetry 2019, 11, 1075. [Google Scholar] [CrossRef] [Green Version]
- Al Shumrani, M.A.; Gulisten, M.; Smarandache, F. Further theory of neutrosophic triplet topology and applications. Symmetry 2020, 12, 1207. [Google Scholar] [CrossRef]
- Saber, Y.; Alsharari, F.; Smarandache, F. On single-valued neutrsophic ideals in Šostak’s sense. Symmetry 2020, 12, 193. [Google Scholar] [CrossRef] [Green Version]
- Saber, Y.; Alsharari, F.; Smarandache, F. Connectedness and Stratification of Single-Valued Neutrosophic Topological Spaces. Symmetry 2020, 12, 1464. [Google Scholar] [CrossRef]
- Alsharari, F. £-Single Valued Extremally Disconnected Ideal Neutrosophic Topological Spaces. Symmetry 2021, 13, 53. [Google Scholar] [CrossRef]
- Alsharari, F. Decomposition of Single-Valued Neutrosophic Ideal Continuity via Fuzzy Idealization. Neutrosophic Sets Syst. 2020, 38, 145–163. [Google Scholar]
- Alsharari, F.; Saber, Y.M. G-Fuzzy closure operator. New Math. Nat. Comput. 2020, 16, 123–141. [Google Scholar] [CrossRef]
- Yang, H.L.; Guo, Z.L.; Liao, X. On single valued neutrosophic relations. J. Intell. Fuzzy Syst. 2016, 30, 1045–1056. [Google Scholar] [CrossRef] [Green Version]
- Kim, J.; Lim, P.K.; Lee, J.G.; Hur, K. Single valued neutrosophic relations. Ann. Fuzzy Math. Inform. 2018, 16, 201–221. [Google Scholar]
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