Printer Friendly

A novel approach to nano topology via neutrosophic sets.

1 INTRODUCTION

Nano topology explored by Thivagar et.al can be described as a collection of nano approximations, a non-empty finite universe and empty set for which equivalence classes are buliding blocks. It is named as nano topology because whatever may be the size of the universe it has at most five open sets. After this, there has been many models built upon different aspect, i.e, universe, relations, object and operators. One of the interesting generalizations of the theories of fuzzy sets and intuitionistic fuzzy sets is the theory of neutrosophic sets introduced by F.Smarandache. Neutrosophic set is described by three functions : a membership function, indeterminacy function and a nonmembership function that are independently related. The theories of neutrosophic set have achieved greater success in various areas such as medical diagnosis, database, topology, image processing and decision making problem. While the neutrosophic set is a powerful tool to deal with indeterminate and inconsistent data, the theory of rough set is a powerful mathematical tool to deal with incompleteness. Neutrosophic sets and rough sets are two different topics, none conflicts the other. The main objective of this study is to introduce a new hybrid intelligent structure called neutrosophic nano topology. The significance of introducing hybrid structures is that the computational techniques, based on any one of these structures alone, will not always yield the best results but a fusion of two or more of them can often give better results. The rest of this paper is organized as follows. Some preliminary concepts required in our work are briefly recalled in section 2. In section 3, the concept of neutrosophic nano topology is investigated. Section 4 concludes the paper with some properties on neutrosophic nano interior and neutrosophic nano closure.

2 Preliminaries

The following recalls requisite ideas and preliminaries necessitated in the sequel of our work.

Definition 2.1 [8]: Let U be a non-empty finite set of objects called the universe and R be an equivalence relation on U named as the indiscernibility relation. Elements belonging to the same equivalence class are said to be indiscernible with one another. The pair (U, R) is said to be the approximation space. Let X [subset or equal to] U.

(i) The lower approximation of X with respect to R is the set of all objects, which can be for certain classified as X with respect to R and it is denoted by [L.sub.R](X). That is, [mathematical expression not reproducible], where R(x) denotes the equivalence class determined by x.

(ii) The upper approximation of X with respect to R is the set of all objects, which can be possibly classified as X with respect to R and it is denoted by [U.sub.R](X). That is, [mathematical expression not reproducible].

(iii) The boundary region of X with respect to R is the set of all objects, which can be classified neither as X nor as not-X with respect to R and it is denoted by [B.sub.R](X). That is, [B.sub.R](X) = [U.sub.R](X)-[L.sub.R](X).

Remark 2.2 [8]: If (U, R) is an approximation space and X, Y [subset or equal to] U, then the following statements hold:

(i) [L.sub.R](X) [subset or equal to] X [subset or equal to] [U.sub.R](X).

(ii) [L.sub.R]([phi]) = [U.sub.R]([phi]) = [phi] and [L.sub.R](U) = [U.sub.R](U) = U.

(iii) [U.sub.R](X [union] Y) = [U.sub.R](X) [union] [U.sub.R](Y).

(iv) [U.sub.R](X [intersection] Y) [subset or equal to] [U.sub.R](X) [intersection] [U.sub.R](Y)

(v) [L.sub.R](X [union] Y) [contains or equal to] [L.sub.R](X) [union] [L.sub.R](Y).

(vi) [L.sub.R](X [intersection] Y) = [L.sub.R](X) [intersection] [L.sub.R](Y).

(vii) [L.sub.R](X) [subset or equal to] [L.sub.R](Y) and [U.sub.R](X) [subset or equal to] [U.sub.R](Y), whenever X [subset or equal to] Y.

(viii) [U.sub.R]([X.sup.C]) = [[[L.sub.R](X)].sup.C] and [L.sub.R]([X.sup.C]) = [[[U.sub.R](X)].sup.C].

(ix) [U.sub.R][U.sub.R](X) = [L.sub.R][U.sub.R](X) = [U.sub.R](X).

(x) [L.sub.R][L.sub.R](X) = [U.sub.R][L.sub.R](X) = [L.sub.R](X).

Definition 2.3 [8]: Let U be an universe, R be an equivalence relation on U and [[tau].sub.R](X) = {U, [phi], [L.sub.R](X), [U.sub.R](X), [B.sub.R](X)} where X [subset or equal to] U. [[tau].sub.R](X) satisfies the following axioms:

(i) U and [phi] [member of] [[tau].sub.R](X).

(ii) The union of the elements of any sub-collection of [[tau].sub.R](X) is in [[tau].sub.R](X).

(iii) The intersection of the elements of any finite sub-collection of [[tau].sub.R](X) is in [[tau].sub.R](X).

That is, [[tau].sub.R](X) forms a topology on U called the nano topology on U with respect to X. We call (U, [[tau].sub.R](X)) as the nano topological space. The elements of [[tau].sub.R](X) are called nano-open sets.

Proposition 2.4 [8]: Let U be a non-empty finite universe and X [subset or equal to] U. Then the following statements hold:

(i) If [L.sub.R](X) = [phi] and [U.sub.R](X) = U, then [[tau].sub.R](X) = {U, [phi]}, is the indiscrete nano topology on U.

(ii) If [L.sub.R](X) = [U.sub.R](X) = X, then the nano topology, [[tau].sub.R](X) = {U, [phi], [L.sub.R](X)}.

(iii) If [L.sub.R](X) = [phi] and [U.sub.R](X) [not equal to] U, then [[tau].sub.R](X) = {U, [phi], [U.sub.R](X)}.

(iv) If [L.sub.R](X) [not equal to] [phi] and [U.sub.R](X) = U, then [[tau].sub.R](X) = {U, [phi], [L.sub.R](X), [B.sub.R](X)}.

(v) If [L.sub.R](X) [not equal to] [U.sub.R](X) where [L.sub.R](X) [not equal to] [phi] and [U.sub.R](X) [not equal to] U, then [[tau].sub.R](X) = {U, [phi], [L.sub.R](X), [U.sub.R](X), [B.sub.R](X)} is the discrete nano topology on U.

Definition 2.5 [3]: Let X be a non empty set. A fuzzy set A is an object having the form A = {< x : [[mu].sub.A](x), x [member of] X}, where 0 [less than or equal to] [[mu].sub.A](x) [less than or equal to] 1 represent the degree of membership of each x [member of] X to the set A.

Definition 2.6 [2]: Let X be a non empty set. An intuitionstic set A is of the form A = {< x : [[mu].sub.A](x), [[upsilon].sub.A](x), x [member of] X}, where [[mu].sub.A](x) and [[upsilon].sub.A](x) represent the degree of membership function and the degree of non membership respectively of each x [member of] X to the set A and 0 [less than or equal to] [[mu].sub.A](x) + [[upsilon].sub.A](x) [less than or equal to] 1 for all x [member of] X.

Definition 2.7 [6]: Let X be an universe of discourse with a generic element in X denoted by x, the neutrosophic set is an object having the form A = {< x : [[mu].sub.A](x), [[sigma].sub.A](x), [[upsilon].sub.A](x) >, x [member of] X}, where the functions [mu], [sigma], [upsilon] : X [right arrow] [0, 1] define respectively the degree of membership or truth, the degree of indeterminancy, and the degree of non-membership (or Falsehood) of the element x [member of] X to the set A with the condition. -0 [less than or equal to] [[mu].sub.A](x) + [[sigma].sub.A](x) + [[upsilon].sub.A](x) [less than or equal to] 3.

3 Neutrosophic Nano Topological Space

In this section we introduce the notion of neutrosophic nano topology by means of nano neutrosophic nano approximations namely neutrosophic nano lower, neutrosophic nano upper and neutrosophic nano boundary. From Neutrosophic nano topology we have also defined and deduced intuitionistic nano topology and fuzzy nano topology.

Definition 3.1 : Let U be a non-empty set and R be an equivalence relation on U. Let F be a neutrosophic set in U with the membership function [[mu].sub.F], the indeterminancy function [[sigma].sub.F] and the non-membership function [[upsilon].sub.F]. The neutrosophic nano lower, neutrosophic nano upper approximation and neutrosophic nano boundary of F in the approximation (U, R) denoted by [N.bar](F), [N.bar](F) and BN(F) are respectively defined as follows:

(i) [mathematical expression not reproducible].

(ii) [mathematical expression not reproducible].

(iii) BN(F)= [bar.N](F) - [N.bar](F).

where [mathematical expression not reproducible].

Definition 3.2 : Let U be an universe, R be an equivalence relation on U and F be a neutrosophic set in U and if the collection [[tau].sub.N](F) = {[0.sub.N], [1.sub.N], [N.bar](F), [bar.N](F), BN (F)} forms a topology then it is said to be a neutrosophic nano topology. We call (U, [[tau].sub.N](F)) as the neutrosophic nano topological space. The elements of [[tau].sub.N](F) are called neutrosophic nano open sets.

Remark 3.3 : From Neutrosophic nano topology we can deduce and define the fuzzy nano topology and intuitionistic nano topology. Fuzzy nano topology is obtained by considering the membership values alone whereas in case of intuitionistic nano topology both membership and non member ship values are considered.

Definition 3.4 : Let U be a non-empty set and R be an equivalence relation on U. Let F be an intuitionistic set in U with the membership function [[mu].sub.F] and the non-membership function [[upsilon].sub.F]. The intuitionistic nano lower, intuitionistic nano upper approximation and intuitionistic nano boundary of F in the approximation (U, R) denoted by [I.bar](F), [bar.I](F) and [B.sub.I](F) are respectively defined as follows:

(i) [mathematical expression not reproducible].

(ii) [mathematical expression not reproducible].

(iii) [B.sub.I](F) = [bar.I](F) - [I.bar](F).

where [mathematical expression not reproducible].

Definition 3.5 : Let U be an universe, R be an equivalence relation on U and F be an intuitionistic set in U and if the collection [[tau].sub.I](F) = {[0.sub.N], [1.sub.N], [I.bar](F), [I.bar](F), [B.sub.I](F)} forms a topology then it is said to be a intuitionistic nano topology. We call (U, [[tau].sub.I](F)) as the intuitionistic nano topological space. The elements of [[tau].sub.I](F) are called intuitionistic nano open sets.

Definition 3.6 : Let U be a non-empty set and R be an equivalence relation on U. Let F be a fuzzy set in U with the membership function [[mu].sub.F]. Then the fuzzy nano lower, fuzzy nano upper approximation of F and fuzzy nano boundary of F in the approximation (U, R) denoted by [F.bar](F), [bar.F](F) and [B.sub.F](F) are respectively defined as follows:

(i) [mathematical expression not reproducible].

(ii) [mathematical expression not reproducible].

(iii) [B.sub.F](F) = [bar.F](F) - [F.bar](F).

where [mathematical expression not reproducible]

Definition 3.7 : Let U be an universe, R be an equivalence relation on U and F be a fuzzy set in U and if the collection [[tau].sub.F](F) = {[0.sub.N], [1.sub.N], [F.bar](F), [bar.F](F), [B.sub.F](F)} forms a topology then it is said to be a fuzzy nano topology. We call (U, [[tau].sub.N](F)) as the fuzzy nano topological space. The elements of [[tau].sub.N](F) are called fuzzy nano open sets.

Remark 3.8 : Thus from the above definitions of intuitionistic and fuzzy nano topologies we can assure that throughout this paper all the properties and examples also holds good when it is possible for neutrosophic nano topology.

Remark 3.9 : Since our main purpose is to construct tools for developing neutrosophic nano topological spaces, we must introduce [0.sub.N], [1.sub.N] and certain neutrosophic set operations in X as follows:

Definition 3.10 : Let U be a nonempty set and the neutrosophic sets A and B in the form [mathematical expression not reproducible]. Then the following statements hold:

(i) [0.sub.N] = {< x, 0, 0, 1 >: x [member of] U} and [1.sub.N] = {< x, 1, 1, 0 >: x [member of] U}.

(ii) [mathematical expression not reproducible].

(iii) A = B iff A [subset or equal to] Band B [subset or equal to] A.

(iv) [A.sup.C] = {< x, [[upsilon].sub.A](x), 1 - [[sigma].sub.A](x), [[mu].sub.A](x) >: x [member of] U}.

(v) [mathematical expression not reproducible].

(vi) [mathematical expression not reproducible].

Theorem 3.11 [8]: Let U be a non-empty finite universe and X [subset or equal to] U. Let [[tau].sub.R](X) be the nano topology on U with respect to X. Then [[[[tau].sub.R](X)].sup.C], whose elements are [A.sup.C] for A [member of] [[tau].sub.R](X), is a topology on U.

Remark 3.12 : [[[[tau].sub.N](F)].sup.C] is called the dual neutrosophic nano topology of [[tau].sub.N](F). Elements of [[[[tau].sub.N](F)].sup.C] are called neutrosophic nano closed sets. Thus, we note that a neutrosophic set N(G) of U is neutrosophic nano closed in [[tau].sub.N](F) if and only if U-N(G) is neutrosophic nano open in [[tau].sub.N](F).

Example 3.13 : Let U = {[p.sub.1], [p.sub.2], [p.sub.3]} be the universe of discourse. Let U/R = {{[p.sub.1], [p.sub.2]}, {[p.sub.3]}} be an equivalence relation on U and A = {<[p.sub.1], (0.7, 0.6, 0.5) >, < [p.sub.2], (0.3, 0.4, 0.5) >, < [p.sub.3], (0.1, 0.5, 0.1) >} be a neutrosophic set on U then [N.bar](A) = {< [p.sub.1], (0.3, 0.4, 0.5) >, < [p.sub.2], (0.3, 0.4, 0.5) >, < [p.sub.3], (0.1, 0.5, 0.1) >}, [bar.N](A) = {<[p.sub.1], (0.7, 0.6, 0.5) >, < [p.sub.2], (0.7, 0.6, 0.5) >, < [p.sub.3], (0.1, 0.5, 0.1) >}, B(A) = {< [p.sub.1], (0.5, 0.6, 0.5) >, < [p.sub.2], (0.5, 0.6, 0.5) >, < [p.sub.3], (0.1, 0.5, 0.1) >}. Then the collection [[tau].sub.N](A) = {[0.sub.N], [1.sub.N], {< [p.sub.1], (0.3, 0.4, 0.5) >, < [p.sub.2], (0.3, 0.4, 0.5) >, < [p.sub.3], (0.1, 0.5, 0.1) >}, {< [p.sub.1], (0.7, 0.6, 0.5) >, < [p.sub.2], (0.7, 0.6, 0.5) >, < [p.sub.3], (0.1, 0.5, 0.1) >}, {< [p.sub.1], (0.5, 0.6, 0.5) >, < [p.sub.2], (0.5, 0.6, 0.5) >, < [p.sub.1], (0.1, 0.5, 0.1) > }} is a neutrosophic nano topology on U and [[[[tau].sub.N](A)].sup.C] is also a neutrosophic nano topology on U. Thus [[tau].sub.I](A) = {[0.sub.n], [1.sub.n], {< [p.sub.1], (0.3, 0.5) >, < [p.sub.2], (0.3, 0.5) >, < [p.sub.3], (0.1, 0.1) >}, {< [p.sub.1], (0.7, 0.5) >, < [p.sub.2], (0.7, 0.5) >, < [p.sub.3], (0.1, 0.1) >}, {< [p.sub.1], (0.5, 0.5) >, < [p.sub.2], (0.5, 0.5) >, < [p.sub.3], (0.1, 0.1) >}} and [[tau].sub.F](A) = {[0.sub.N], [1.sub.N], {< [p.sub.1], (0.3) >, < [p.sub.2], (0.3) >, < [p.sub.3], (0.1) >}, {< [p.sub.1], (0.7) >, < [p.sub.2], (0.7) >, < [p.sub.3], (0.1) >}, {< [p.sub.1], (0.5) >, < [p.sub.2], (0.5) >, < [p.sub.3], (0.1) > }} are the intuitionistic nano topology and fuzzy nano topology.

Remark 3.14 : In neutrosophic nano topological space, the neutrosophic nano boundary cannot be empty. Since the difference between neutrosophic nano upper and neutrosophic nano lower approximations is defined here as the maximum and minimum of the values in the neutrosophic sets.

Proposition 3.15 : Let U be a non-empty finite universe and F be a neutrosophic set on U. Then the following statements hold:

(i) The collection [[tau].sub.N](F) = {[0.sub.N], [1.sub.N]}, is the indiscrete neutrosophic nano topology on U.

(ii) If [N.bar](F) = [bar.N](F) = N(F), then the neutrosophic nano topology, [[tau].sub.N](F) = {[0.sub.n], [1.sub.N], [N.bar](F), BN (F)}.

(iii) If [N.bar](F) = BN(F), then [[tau].sub.N](F) = {[0.sub.N], [1.sub.N], [N.bar](F), [bar.N](F)} is a neutrosophic nano topology

(iv) If [bar.N](F) = BN(F) then [[tau].sub.N](F) = {[0.sub.N], [1.sub.N], [bar.N](F), BN(F)}.

(v) The collection [[tau].sub.N](F) = {[0.sub.N], [1.sub.N], [N.bar](F), [bar.N](F), BN(F)} is the discrete neutrosophic nano topology on U.

4 Neutrosophic nano closure and interior

In this section we have defined neutrosophic nano closure and neutrosophic nano interior on neutrosophic nano topological space. Based on this we also prove some properties.

Definition 4.1 : If (U, [[tau].sub.N](F)) is a neutrosophic nano topological space with respect to neutrosophic subset of U and if A be any neutrosophic subset of U, then the neutrosophic nano interior of A is defined as the union of all neutrosophic nano open subsets of A and it is denoted by [N.sub.F]int(A). That is, [N.sub.F]int(A) is the largest neutrosophic nano open subset of A. The neutrosophic nano closure of A is defined as the intersection of all neutrosophic nano closed sets containing A and it is denoted by [N.sub.F]cl(A). That is, [N.sub.F]cl(A) is the smallest neutrosophic nano closed set containing A.

Remark 4.2 : Let (U, [[tau].sub.N](F)) be a neutrosophic nano topological space with respect to F where F is a neutrosophic subset of U. The neutrosophic nano closed sets in U are [0.sub.N], [1.sub.N], [([N.bar](F)).sup.C], [([bar.N](F)).sup.C] and [([B.sub.N](F)).sup.C].

Theorem 4.3 [8]: Let (U, [[tau].sub.R](X)) be a nano topological space with respect to X [subset or equal to] U then Ncl(X) = U.

Remark 4.4 : The above theorem need not be true for all neutrosophic nano topological space (U, [[tau].sub.N](F)) with respect to F where F is a neutrosophic subset of U. That is [N.sub.F] cl (A) need not be equal to U which can be shown by the following example.

Example 4.5 : Let U = {[p.sub.1], [p.sub.2], [p.sub.3], [p.sub.4], [p.sub.5]} be the universe of discourse. Let U/R = {{[p.sub.1], [p.sub.4]}, {[p.sub.2], [p.sub.3]}, {[p.sub.5]}} be an equivalence relation on U and A = {<[p.sub.1], (0.2, 0.3, 0.4) >, < [p.sub.4], (0.2, 0.3, 0.4) >, < [p.sub.5], (0.4, 0.6, 0.2) >} be a neutrosophic set on U. Then [N.bar](A) = {< [p.sub.1], (0.2, 0.3, 0.4) >, < [p.sub.4], (0.2, 0.3, 0.4) >, < [p.sub.5], (0.4, 0.6, 0.2) >}, [bar.N](A) = {<[p.sub.1], (0.2, 0.3, 0.4) >, < [p.sub.4], (0.2, 0.3, 0.4) >, < [p.sub.5], (0.4, 0.6, 0.2) >} B(A) = {<[p.sub.1], (0.2, 0.3, 0.4) >, < [p.sub.4], (0.2, 0.3, 0.4) >, < [p.sub.5], (0.2, 0.4, 0.4) >}. Now we have [[tau].sub.N](A) = {[0.sub.N], [1.sub.N], {< [p.sub.1], (0.2, 0.3, 0.4) >, < [p.sub.4], (0.2, 0.3, 0.4) >, < [p.sub.5], (0.4, 0.6, 0.2) >}, {< [p.sub.1], (0.2, 0.3, 0.4) >, <[p.sub.4], (0.2, 0.3, 0.4) >, < [p.sub.5], (0.2, 0.4, 0.4) >}} which is a neutrosophic nano topology on U. [[[[tau].sub.N](A)].sup.C] = {[0.sub.N], [1.sub.N], {< [p.sub.1], (0.2, 0.3, 0.4) >, < [p.sub.4], (0.2, 0.3, 0.4) >, < [p.sub.5], (0.4, 0.6, 0.2) >}, {< pi, (0.2, 0.3, 0.4) >, < [p.sub.4], (0.2, 0.3, 0.4) >, < [p.sub.5], (0.2, 0.4, 0.4) >}. Here [N.sub.F]cl(A) [not equal to] U

Theorem 4.6 : Let (U, [[tau].sub.N](F)) be a neutrosophic nano topological space with respect to F where F is a neutrosophic subset of U. Let A and B be neutrosophic subsets of U.

Then the following statements hold:

(i) A [subset or equal to] [N.sub.F]cl(A).

(ii) A is nano closed if and only if [N.sub.F]cl(A) = A.

(iii) [N.sub.F]cl([0.sub.N]) = [0.sub.N] and [N.sub.F]cl([1.sub.N]) = [1.sub.N].

(iv) A [subset or equal to] B [??] [N.sub.F]cl(A) [subset or equal to] [N.sub.F]cl(B).

(v) [N.sub.F]cl(A [union] B) = [N.sub.F]cl(A) [union] [N.sub.F]cl(B).

(vi) [N.sub.F]cl(A [intersection] B) [subset or equal to] [N.sub.F]cl(A) [intersection] [N.sub.F]cl(B).

(vii) [N.sub.F]cl ([N.sub.F]cl(A)) = [N.sub.F]cl(A).

Proof:

(i) By definition of neutrosophic nano closure, A [subset or equal to] [N.sub.F]cl(A).

(ii) If A is neutrosophic nano closed, then A is the smallest neutrosophic nano closed set containing itself and hence [N.sub.F]cl(A) = A. Conversely, if [N.sub.F]cl(A) = A, then A is the smallest neutrosophic nano closed set containing itself and hence A is neutrosophic nano closed.

(iii) Since [0.sub.N] and [1.sub.N] are neutrosophic nano closed in (U, [[tau].sub.N](F)), [N.sub.F]cl([0.sub.N]) = [0.sub.N] and [N.sub.F]cl([1.sub.N]) = [1.sub.N].

(iv) If A [subset or equal to] B, since B [subset or equal to] [N.sub.F]cl(B), then A [subset or equal to] [N.sub.F]cI(B). That is, [N.sub.F]cl(B) is a Neutrosophic nano closed set containing A. But [N.sub.F]cl(A) is the smallest Neutrosophic nano closed set containing A. Therefore, [N.sub.F]cl(A) c [N.sub.F]cl(B).

(v) Since A [subset or equal to] A [union] B and B [subset or equal to] A [union] B, [N.sub.F]cl(A) c [N.sub.F]cl(A [union] B) and [N.sub.F]cl(B) c [N.sub.F]cl(A [union] B). Therefore, [N.sub.F]cl(A) [union] [N.sub.F]cl(B) [subset or equal to] [N.sub.F]cl(A [union] B). By the fact that A [union] B [subset or equal to] [N.sub.F]cl(A) [union] [N.sub.F]cl(B), and since [N.sub.F]cl(A [union] B) is the smallest nano closed set containing A [union] B, so[N.sub.F]cl(A [union] B) [subset or equal to] [N.sub.F]cl(A) [union] [N.sub.F]cl(B). Thus, [N.sub.F]cl(A [union] B) = [N.sub.F]cl(A) [union] [N.sub.F]cl(B).

(vi) Since A [intersection] B [subset or equal to] A and A [intersection] B [subset or equal to] B, [N.sub.F]cl(A [intersection] B) [subset or equal to] [N.sub.F]cl(A) n [N.sub.F]cl(B).

(vii) Since [N.sub.F]cl(A) is nano closed, [N.sub.F]cl([N.sub.F]cl(A)) = [N.sub.F]cl(A).

Theorem 4.7 : (U, [[tau].sub.N](F)) be a neutrosophic nano topological space with respect to F where F is a neutrosophic subset of U. Let A be a neutrosophic subset of U. Then

(i) [1.sub.N] - [N.sub.F]Int(A) = [N.sub.F]cl([1.sub.N] - A).

(ii) [1.sub.N] - [N.sub.F]cl(A) = [N.sub.F]Int([1.sub.N] - A).

Remark 4.8 : Taking complements on either side of(i) and (ii) Theorem 4.8, we get ([N.sub.F]Int(A)) = [1.sub.N] - [N.sub.F]cl([1.sub.N] - A)) and ([N.sub.F]cl(A)) = [1.sub.N] - ([N.sub.F]Int ([1.sub.N] - A)).

Example 4.9 : Let U = {a, b, c} and U/R = {{a, b}, {c}}. Let F = {< a, (0.4, 0.5, 0.5) >, < b, (0.4,0.5,0.5) >, < c, (0.5,0.5,0.5) >} be a neutrosophic set on U then the tn(A) = {[0.sub.N], [1.sub.N], {< a, (0.4, 0.5, 0.5) >, < b, (0.4, 0.5, 0.5) >, < c, (0.5, 0.5, 0.5) >}} is a neutrosophic nano topology on U. [[[[tau].sub.N](A)].sup.C] = {[0.sub.N], [1.sub.N], {< a, (0.5, 0.5, 0.4) >, < b, (0.5, 0.5, 0.4) >, < c, (0.5, 0.5, 0.5) >}}. If A = {< a, (0.7, 0.6, 0.5) >, < b, (0.3, 0.4, 0.5) >, < c, (0.7, 0.5, 0.5) > }, then [([N.sub.F]Int(A)).sup.C] = [1.sub.N] [N.sub.F]cl([1.sub.N] - A) = [1.sub.N]. That is, [1.sub.N] - [N.sub.F]Int(A) = [N.sub.F]cl([1.sub.N] - A) Also, [1.sub.N] - [N.sub.F]cl(A) = [N.sub.F]Int([1.sub.N] - A) = [0.sub.N]

Theorem 4.10 : Let (U, [[tau].sub.N](F)) be a neutrosophic nano topological space with respect to F where F is a neutrosophic subset of U. Let A and B be neutrosophic subsets of U, then the following statements hold:

(i) A is neutrosophic nano open if and only if [N.sub.F]Int(A) = A.

(iii) [N.sub.F]Int([0.sub.N]) = [0.sub.N] and [N.sub.F]Int([1.sub.N]) = [1.sub.N].

(iv) A [subset or equal to] B [??] [N.sub.F]Int(A) [subset or equal to] [N.sub.F]Int(B).

(v) [N.sub.F]Int(A) [union] [N.sub.F]Int(B) [subset or equal to] [N.sub.F]Int(A [union] B).

(vi) [N.sub.F]Int(A [intersection] B) = [N.sub.F]Int(A) n [N.sub.F]Int(B).

(vii) [N.sub.F]Int([N.sub.F]Int(A)) = [N.sub.F]Int(A).

Proof:

(i) A is neutrosophic nano open if and only if [1.sub.N] - A is neutrosophic nano closed, if and only if [N.sub.F]cl([1.sub.N] - A) = [1.sub.N] - A, if and only if [1.sub.N] - [N.sub.F]cl([1.sub.N] - A) = A if and only if [N.sub.F]Int(A) = A, by Remark 4.8.

(ii) Since [0.sub.N] and [1.sub.N] are neutrosophic nano open, [N.sub.F]Int([0.sub.N]) = [0.sub.N] and [N.sub.F]Int([1.sub.N]) = [1.sub.N].

(iii) [mathematical expression not reproducible].

Proof of (iv), (v) and (vi) follow similarly from Theorem 4.7 and Remark 4.8.

Conclusion: Neutrosophic set is a general formal framework, which generalizes the concept of classic set, fuzzy set, interval valued fuzzy set, intuitionistic fuzzy set, and interval intuitionistic fuzzy set. Since the world is full of indeterminacy, the neutrosophic nano topology found its place into contemporary research world. This paper can be further developed into several possible such as Geographical Information Systems (GIS) field including remote sensing, object reconstruction from airborne laser scanner, real time tracking, routing applications and modeling cognitive agents. In GIS there is a need to model spatial regions with indeterminate boundary and under indeterminacy. Hence this neutrosophic nano topological spaces can also be extended to a neutrosophic spatial region.

References

[1] Albowi S.A, Salama.A, and Mohamed Eisa., New concepts of neutrosophic sets, International Journal Of Mathematics and Computer Applications Research, Vol.3, Issue 3, Oct (2013),95-102.

[2] Atanassov. K, Intuitionistic fuzzy sets, Fuzzy sets and systems, 20(1986), 87-96.

[3] Chang. C.L., Fuzzy topological spaces, J. Math. Anal. Appl. 24(1968), 182- 190.

[4] Hanfay. I, Salama. A and Mahfouz. K, Correlation of neutrosophic data, International Refreed Journal Of Engineering and Science, Vol.(1), Issue 2, (2012) 33-33.

[5] Jensen. R., and Shen. Q., Fuzzy--rough sets assisted attribute selection, IEEE Transactions on Fuzzy system., (2007), 15, 73-89.

[6] Salama. A and Alblowi. S.A., Generalized neutrosophic set and generalized neutrosophic topological spaces, Journal Computer Sci. Engineering, Vol.2 No.7, (2012), 129-132.

[7] Smarandache. F, "A unifying field in logics neutrosophy neutrosophic probability, set and Logic", Rehoboth American Research Press 1999.

[8] Lellis Thivagar. M and Carmel Richard., On nano forms of weakly open sets, International Journal of Mathematics and Statistics Invention, Vol.1 No.1, (2013), 31-37.

[9] Lellis Thivagar. M and Sutha Devi. V, On Multi-granular nano topology, South East Asian Bulletin of Mathematics, Springer Verlag., Vol.40, (2016), 875-885.

[10] Lellis Thivagar. M and Sutha Devi. V, Computing technique for recruitment process via nano topology, Sohag J. Math., (2016) 3, No. 1, 37-45.

[11] M. Lellis Thivagar, Paul Manuel and V. Sutha Devi, A detection for patent infringement suit via nano topology induced by graph Cogent Mathematics, Taylor and Francis, (2016), Vol.3:1161129.

[12] Xiao. Q.M., Zhang. Z.L., Rough prime ideals and rough fuzzy prime ideals in semigroups, Inform.Sciences., (2006), 725-733.

Received: April 19, 2018. Accepted: May 7, 2018.

(1) M. Lellis Thivagar, (2) Saeid Jafari (3) V. Sutha Devi (4) V. Antonysamy

(1,3,4) School of Mathematics, Madurai Kamaraj University, Madurai--625021, Tamilnadu, India.

E-mail (1): mlthivagar@yahoo.co.in, E-mail (3): vsdsutha@yahoo.co.in, E-mail (4): tonysamsj@yahoo.com

(2) Department of Mathematics, College of Vestsjaelland South, Herrestraede 11, 4200 Slagelse, Denmark.

E-mail (2): jafaripersia@gmail.com
COPYRIGHT 2018 Neutrosophic Sets and Systems
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2018 Gale, Cengage Learning. All rights reserved.

Article Details
Printer friendly Cite/link Email Feedback
Author:Thivagar, M. Lellis; Jafari, Saeid; Devi, V. Sutha; Antonysamy, V.
Publication:Neutrosophic Sets and Systems
Article Type:Report
Date:Jun 1, 2018
Words:5161
Previous Article:Single Valued Neutrosophic Soft Approach to Rough Sets, Theory and Application.
Next Article:NC-VIKOR Based MAGDM Strategy under Neutrosophic Cubic Set Environment.

Terms of use | Privacy policy | Copyright © 2021 Farlex, Inc. | Feedback | For webmasters |