Startseite Neutrosophic triplet normed space
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Neutrosophic triplet normed space

  • Mehmet Şahin EMAIL logo und Abdullah Kargın
Veröffentlicht/Copyright: 10. November 2017

Abstract

In this paper; new properties for neutrosophic triplet groups are introduced. A notion of neutrosophic triplet metric space is given and properties of neutrosophic triplet metric spaces are studied. Neutrosophic triplet vector space and neutrosophic triplet normed space are also studied and some of their properties are given. Furthermore, we also show that these neutrosophic triplet notionsare different from the classical notions.

1 Introduction

There are many uncertainties in our daily life. Classic methods cannot always explain these uncertainties. The concept of fuzzy set theory is introduced by Zadeh in [1] to overcome uncertainties. Although fuzzy sets are used in many applications, it does not explain the indeterminancy states because it has only membership (truth) function. Then the concept of intuitionistic fuzzy sets theory is introduced by Atanassov in [2] to overcome uncertainties. The theory deals with states of truth, falsity and indeterminancy. However these states have been defined as dependent on each other. Finally the concept of neutrosophic set theory is introduced by Smarandache in [3]. In this theory the states of truth, falsity and indeterminancy are defined as independent on each other. By utilizing the idea of neutrosophic theory, Kandasamy and Smarandache introduced neutrosophic algebraic structures in [4, 5]. Florentin Smarandache and Mumtaz Ali introduced neutrosophic triplet theory in [6] and neutrosophic triplet groups in [7, 8]. The neutrosophic triplet set is completely different from the classical sets, since for each element “a” in neutrosophic triplet set N together with a binary operation *; there exist a neutral of “a” called neut(a) such that a*neut(a) = neut(a)*a = a and an opposite of “a” called anti(a) such that a*anti(a) = anti(a)*a = neut(a). Where; neut(a) is different from the classical algebraic unitary element. A neutrosophic triplet is of the form < a, neut(a), anti(a) >. Also, Florentin Smarandache and Mumtaz Ali studied the neutrosophic triplet field [9, 10] and the neutrosophic triplet ring [10, 11]. Recently some researchers have been dealing with neutrosophic set theory. For example, Broumi, Bakali, Talea and Smarandache studied the single valued neutrosophic graphs [12] and interval valued neutrosophic graphs [13]. Broumi, Bakali, Talea, Smarandache and Vladareanu studied SV-Trapezoidal neutrosophic numbers [14] and neutrosophic shortest path problem [15]. Liu and Shi studied interval neutrosophic hesitant set [16] and neutrosophic uncertain linguistic number [17]. Liu and Tang studied some power generalized aggregation operators based on the interval neutrosophic numbers [18] and Multi-criteria group decision-making based on interval neutrosophic uncertain linguistic variables and Choquet integral [19]. Liu and Wang studied interval neutrosophic prioritized OWA operator [20]. Liu and Teng studied multiple attribute decision making method based on normal neutrosophic generalized weighted power averaging operator [21]. Liu, Zhang, Liu, and Wang studied multi-valued neutrosophic number bonferroni mean operators [22]. P Liu studied the aggregation operators based on Archimedean t-conorm and t-norm for the single valued neutrosophic numbers [23]. Also, in [24, 25, 26, 27, 28, 29, 30, 31] neutrosophic set theory was studied.

In this paper; we give new properties for neurosophic triplet groups and we introduced neutrosophic triplet metric, neutrosophic triplet vector space and neutrosophic triplet normed space. These neutrosophic triplet structures have been studied by Şahin and Kargın in [24] However; we used these structures to show these structures are different from the classical structures. Also, we give new properties and new definitions for these structures. In this paper; in section 2; some preliminary results for neutrosophic triplet groups are given. In section 3; new properties for neutrosophic triplet group are given. In section 4; neutrosophic triplet metric space is defined and some properties of a neutrosophic triplet metric space are given.It is show that neutrosophic triplet metric different from the classical metric. Also, the convergence of a sequence and a Cauchy sequence in a neutrosophic triplet metric space are defined. In section 5; neutrosophic triplet vector space is defined and some properties of neutrosophic triplet vector space are given. Also, it is show that neutrosophic triplet vector spaces are different from the classical vector spaces. In section 6; a neutrosophic triplet normed space is defined and some properties of neutrosophic triplet normed space are given.The convergence of a sequence and a Cauchy sequence in the neutrosophic triplet normed space are defined.Also, it is show that neutrosophic triplet normed spaces are different from the classical normed space. However; it is show that if certain conditions are met; every classical normed space can be a neutrosophic triplet normed space at the same time. In section 7; conclusions are given.

2 Preliminaries

Definition 2.1

[7]: Let N be a set together with a binary operation *. Then, N is called a neutrosophic triplet set if for any a ∈ N, there exists a neutral of “a” called neut(a), different from the classical algebraic unitary element, and an opposite of “a” called anti(a), with neut(a) and anti(a) belonging to N, such that:

aneut(a)=neut(a)a=a,

and

aanti(a)=anti(a)a=a.

The elements a, neut(a) and anti(a) are collectively called as neutrosophic triplet, and we denote it by (a, neut(a), anti(a)). Here, we mean neutral of aand apparently, “a” is just the first coordinate of a neutrosophic triplet and it is not a neutrosophic triplet. For the same element “a” in N, there may be more neutrals toit neut(a)’s and more opposites of it anti(a)’s.

Definition 2.2

[7]: Let (N,*) be a neutrosophic triplet set. Then, N is called a neutrosophic triplet group, if the following conditions are satisfied.

  1. If (N,*) is well-defined, i.e. for any a,b ∈ N, one has a*b ∈ N.

  2. If (N,*) is associative, i.e. (a*b)*c = a*(b*c) for all a,b,c ∈ N.

The neutrosophic triplet group, in general, is not a group in the classical algebraic way.

One can consider that neutrosophic neutrals are replacing the classical unitary element, and the neutrosophic opposites are replacing the classical inverse elements.

Definition 2.3

[7]: Let (N,*) be a neutrosophic triplet group. Then N is called a commutative neutrosophic triplet group if for all a,b ∈ N, we have a*b = b*a.

Proposition 2.4

[7]: Let (N,*) be a neutrosophic triplet group with respect to * and a,b,c ∈ N;

  1. a*b = a*c if and only if neut(a)*b = neut(a)*c

  2. b*a = c*a if and only if b*neut(a) = c*neut(a)

  3. if anti(a)*b = anti(a)*c, then neut(a)*b = neut(a)*c

  4. if b*anti(a) = c*anti(a), then b*neut(a) = c*neut(a)

Theorem 2.5

[7]: Let (N,*) be a commutative neutrosophic triplet group with respect to * and a,b ∈ N;

  1. neut(a)*neut(b) = neut(a*b);

  2. anti(a)*anti(b) = anti(a*b);

Theorem 2.6

[7]: Let (N,*) be a commutative neutrosophic triplet group with respect to * and a ∈ N;

  1. neut(a)*neut(a) = neut(a);

  2. anti(a)*neut(a) = neut(a)* anti(a) = anti(a);

Definition 2.7

[9, 11]: Let (NTF,*,#) be a neutrosophic triplet set together with two binary operations* and #. Then (NTF,*,#) is called neutrosophic triplet field if the following conditions hold.

  1. (NTF,*) is a commutative neutrosophic triplet group with respect to *.

  2. (NTF,#) is a neutrosophic triplet group with respect to #.

  3. a#(b*c) = (a#b)*(a#c) and (b*c)#a = (b#a)*(c#a) for all a,b,c ∈ NTF.

3 New properties for neutrosophic triplet groups

Firstly; we define neutrosophic triplet subset and for neutrosophic triplet groups, we give new properties as theorems.

Definition 3.1

Let(N, *) be a neutrosophic triplet set. For a subset S⊂N; if (S, *) is a neutrosophic triplet set itself, then S is called the neutrosophic triplet subset.

Theorem 3.2

Let (N,*) be a neutrosophic triplet group with no zero divisors and with respect to *. For a ∈ N;

If a = neut(a), then there exists an anti(a) such that neut(a) = anti(a) = a.

Proof

By the definition of neutrosophic triplet set; as a*anti(a) = anti(a)*a = a we have anti(a)*(anti(a)*a) = anti(a)*a. Thus; anti(a)*neut(a) = neut(a).

If a = neut(a); by Theorem 2.6, we have anti(a)*neut(a) = anti(a) and therefore we have a anti(a) such that neut(a) = anti(a) = a

Theorem 3.3

Let (N,*) be a neutrosophic triplet group with no zero divisors and with respect to *. For a ∈ N;

  1. neut(neut(a)) = neut(a)

  2. anti(neut(a)) = neut(a))

  3. anti(anti(a)) = a

  4. neut(anti(a)) = neut(a)

Proof

  1. By the definition of neutrosophic triplet set; we have neut(a)*neut(neut(a)) = neut(a). By Proposition 2.4, we have a*neut(a)*neut(neut(a)) = a*neut(a). Thus; a*neut(neut(a)) = a.

  2. By the definiton of neutrosophic triplet set; we have neut(neut(a)) = neut(a).

  3. Using i), as neut(neut(a)) = neut(a); there exists a element b ∈ N such that neut(a) = b. Since neut(a) = b, we have neut(b) = b. By Theorem 3.2, as neut(b) = b, we have neut(b) = anti(b). Thus; we have neut(neut(a)) = anti(neut(a)) = neut(a).

  4. By the definition of neutrosophic triplet set, as a*anti(a) = anti(a)*a = a; we have anti(anti(a))*anti(a) = anti(a)*anti(anti(a)) = neut(a). Thus; anti(anti(a)) = a.

  5. By the definition of neutrosophic triplet set, as a*anti(a) = anti(a)*a = a; we have anti(a)*neut(anti(a)) = neut(anti(a))*anti(a) = anti(a). By proposition 2.4; we have neut(a)*neut(anti(a)) = neut(a). Again from the proposition 2.4; we have a*neut(anti(a)) = a. Thus; neut(anti(a)) = neut(a).

4 Neutrosophic triplet metric space

Definition 4.1

Let(N,*) be a neutrosophic triplet set and let x*y ∈ N for all x,y ∈ N. If the function d:NxN → ℝ+∪{0} satisfies the following conditions; d is called a neutrosophic triplet metric. For all x,y,z ∈ N;

  1. d(x,y) ≥ 0;

  2. If x = y; then d(x,y) = 0

  3. d(x,y) = d(y,x)

  4. If there exists any element y ∈ N such that d(x,z) ≤ d(x,z*neut(y)), then d(x,z*neut(y)) ≤ d(x,y)+ d(y,z).

Furthermore; ((N,*), d) space is called neutrosophic triplet metric space.

Corollary 4.2

The neutrosophic triplet metric is generally different from the classical metric, since for there is no “*” binary operation different from “d” and neut(x) element for any element x in classical metric.

Example 4.3

Let X be a set and P(X) be the power set of X, namely the set of all subsets of X and s(A) be number of elements in A ∈ P(X). Then (P(X), ∪) is a neutrosophic triplet set, since for A∪A = A∪A = A and A∪A = A∪A = A. Thus, we can take neut(A) = A, anti(A) = A for all A ∈ P(X). Also, A∪A ∈ P(X), for all A ∈ P(X). Later, we define the function d: P(X)xP(X) → ℝ+∪{0}, d(A,B) = |s(A)-s(B)| and we show that “d” is a neutrosophic triplet metric.

a), b) and c) are clear.

d) For ∅ ∈ P(X), since for d(A,B) = d(A,B∪∅); d(A,B∪∅) = d(A,B) = |s(A)-s(B)|. From the triangle inequality; it is clear |s(A)-s(B)| ≤ |s(A)-s(C)|+|s(C)-s(B)|. Thus; d(A,B∪∅) ≤ d(A,C)+d(C,B). Also, ((P(X),∪),d) is a neutrosophic triplet metric space.

Now let’s define the convergence of a sequence and Cauchy sequence in the neutrosophic triplet metric space.

Definition 4.4

Let((N,*), d) be a neutrosophic triplet metric space and {xn} be a sequence in this space and x ∈ N. For all ε > 0; such that

d(x,{xn})<ε

for all n ≥ M, if there exist M ∈ ℕ ; then {xn} converges to x ∈ N. It is denoted by

limnxn= x or xnx.

Definition 4.5

Let((N,*), d) be a neutrosophic triplet metric space and {xn} be a sequence in this space.

For all ε > 0; such that

d({xm},{xn})<ε

for all n ≥ M, if there exist M ∈ ℕ ; then the sequence {xn} is a Cauchy sequence.

Theorem 4.6

Let((N,*), d) be a neutrosophic triplet metric space and {xn} be a sequence in this space. If {xn} is convergent and, d({xn},{xm}) ≤ d({xn},{xm}*neut(x)) for any x ∈ N; then {xn} is a Cauchy sequence.

Proof

As {xn} is convergent; d(x,{xn}) < ε /2 for all n ≥ M or d(x, {xm}) < ε /2 for all m ≥ M. For all n, m ≥ M, as d({xn},{xm}) ≤ d({xn},{xm}*neut(x)); d({xn},{xm}) ≤ d({xn},{xm}*neut(x)) ≤ d(x, {xn})+ d(x, {xm}) = ε /2 + ε /2. Therefore; by the definition of Cauchy sequence, {xn} is a Cauchy sequence.

Definition 4.7

Let ((N,*), d) be a neutrosophic triplet metric space. If every {xn} cauchy sequence in this space is convergent; then this space is called a complete neutrosophic triplet metric space.

5 Neutrosophic triplet vector spaces

Now let’s define the neutrosophic triplet vector space which has much more properties than the neutrosophic triplet sets. Thus, we will obtain more specific structure that is wider than neutrosophic triplet sets.

Definition 5.1

Let(NTF,*1, #1) be a neutrosophic triplet field and let (NTV,*2, #2) be a neutrosophic triplet set together with binary operations “*2” and “#2”. Then (NTV,*2, #2) is called a neutrosophic triplet vector space if the following conditions hold. For all u, v ∈ NTV and for all k ∈ NTF; such that u*2v ∈ NTV and u #2k ∈ NTV;

  1. (u*2v)*2t = u*2 (v*2t), for every u,v,t ∈ NTV

  2. u*2v = v*2u, for every u,v ∈ NTV

  3. (v*2u)#2k = (v#2k)*2(u#2k), for all k ∈ NTF and for all u,v ∈ NTV

  4. (k*1t)#2u = (k#2v)*1(u#2v), for all k,t ∈ NTF and for all u ∈ NTV

  5. (k#1t)#2u = k#1(t#2u), for all k,t ∈ NTF and for all u ∈ NTV

  6. For all u ∈ NTV; such that u #2neut(k) = neut(k)#2 u = u, there exists any neut(k) ∈ NTF

Here; the condition 1) and 2) indicate that the neutrosophic triplet set (NTV,*2) is a commutative neutrosophic triplet group.

Corollary 5.2

By the condition 6) of the neutrosophic triplet vector space definition; for every u ∈ NTV; neut(k) ∈ NTF that satisfies u #2 neut(k) = neut(k)#2 u = u need not be unique.Therefore; neutrosophic triplet vector space is generally different from the classical vector space.

Example 5.3

Let X = {1,2} be a set and P(X) = {∅, {1}, {2}, {1, 2}} be power set of X and let (P(X), *) be a neutrosophic triplet set. Where * = ∪, neut(∅) = neut({1}) = neut({2}) = ∅, neut({1, 2}) = {1} and anti(A) = A for A ∈ P(X) and for “*”. Then (P(X), ∪,∩) is a neutrosophic triplet field, since for neut(A) = A, anti(A) = A for “∪, ∩ ”. Now, we show that (P(X), *, ∩) is a neutrosophic triplet vector space on (P(X), ∪, ∩) neutrosophic triplet field.

  1. 2) and 3) are clear.

  2. (A∪B)∩C = (A∩C)∪(B∩C), for all A, B, C ∈ P(X).

  3. (A∩B)∩C = A∩(B∩C)for all A, B, C ∈ P(X).

  4. For all A ∈ P(X); such that A∩neut(X) = neut(X)∩A = A, there exists neut(X) = X ∈ P(X).

Thus; (P(X), *, ∩) is a neutrosophic triplet vector space on (P(X), ∪, ∩) neutrosophic triplet field.

Theorem 5.4

Let(NTV, *,#) be a neutrosophic triplet vector space on a neutrosophic triplet field. If (NTV, *,#) is satisfies the following condition, (NTV, *,#) is also a neutrosophic triplet field.

  1. a#b ∈ NTV; for all a, b ∈ NTV;

  2. a#(b#c) = (a#b)#c; for all a,b,c ∈ NTV;

  3. a#(b*c) = (a#b)*(a#c) and (b*c)#a = (b#a)*(c#a); for all a,b,c ∈ NTV;

Proof

As(NTV, *,#) is a neutrosophic triplet vector space; (NTV, *) is a commutative neutrosophic triplet group. From 1), 2), (NTV, #) is a neutrosophic triplet group and from 3) (NTV, *,#) is satisfies the condition ofneutrosophic triplet field. Thus; (NTV, *,#) is a neutrosophic triplet field.

Corollary 5.5

Let(NTV, *,#) be a neutrosophic triplet vector space on a neutrosophic triplet field. If (NTV, *,#) satisfies following conditions, then (NTV, *,#) is a neutrosophic triplet vector space on itself.

  1. a#b ∈ NTV; for all a, b ∈ NTV

  2. a#(b#c) = (a#b)#c; for a,b,c ∈ NTV

  3. a#(b*c) = (a#b)*(a#c) and (b*c)#a = (b#a)*(c#a); for all a,b,c ∈ NTV

Proof

From the Theorem 5.4; (NTV, *,#) is a neutrosophic triplet field. Thus; we suppose that

NTV=NTF,1=2=and#1=#2=#.

Now, we show that (NTV, *,#) satisfies the condition in definition 5.1 (definition of neutrosophic triplet vector space). As NTV = NTF and from the condition a); we have a*b ∈ NTV and a#b ∈ NTV; for a,b ∈ NTV. From the definition of NTV; NTV satisfies condition 1) and 2) in definition 5.1. As *1 = *2 = * and #1 = #2 = # and from the condition c), NTV satisfies condition 3),4) and 5). As NTV = NTF, *1 = *2 = * and #1 = #2 = #, 6) is clear. Thus; as a), b) and c) are satisfied; then (NTV, *,#) is a neutrosophic triplet vector space on itself.

Definition 5.6

Let(NTV,*2, #2) be a neutrosophic triplet vector space on (NTF,*1, #1) neutrosophic triplet field and S⊂NTV. If (S,*2, #2) is a neutrosophic triplet vector space on (NTF,*1, #1) neutrosophic triplet field, (S,*2, #2) is called the neutrosophic triplet subvector space of (NTV,*2, #2).

Example 5.7

From the example 5.3, as (P(X),*,∩) is a neutrosophic triplet vector space on (P(X), ∪, ∩) neutrosophic triplet field, where A*B = A∪B, neut(∅) = neut({1}) = neut({2}) = ∅, neut({1, 2}) = {1} and anti(A) = A for A ∈ P(X) and for “*”. For any S⊂P(X); (S, *, ∩) is a neutrosophic triplet subvector space of (P(X), *, ∩).

Theorem 5.8

Let(NTV,*2, #2) be a neutrosophic triplet vector space on (NTF,*1, #1) neutrosophic triplet field and (S,*2, #2) be a neutrosophic triplet subset of (NTV,*2, #2). (S,*2, #2) is neutrosophic triplet subvector space of (NTV,*2, #2) if and only if

  1. a*2b ∈ S; for all a,b ∈ S,

  2. a{#}2c ∈ S; for all a ∈ S and c ∈ NTF,

Proof

As (S,*2, #2) is a neutrosophic triplet subvector space; a) and b) are clear. On the contrary if a) and b) are satisfied; then from the definition neutrosophic triplet vector space and as (S,*2, #2) is a neutrosophic triplet subset of (NTV,*2, #2), (S,*2, #2) satisfies the condition of a neutrosophic triplet vector space.

6 Neutrosophic triplet normed space

Now let’s define the neutrosophic triplet normed spaces on the neutrosophic triplet vector space in chapter 5, which have much more properties than neutrosophic triplet metric spaces. Thus, we will obtain a more specific structure that is wider than the neutrosophic triplet metric space in chapter 4.

Definition 6.1

Let (NTV,*2, #2) be a neutrosophic triplet vector space on (NTF,*1, #1) neutrosophic triplet field. If ∥.∥:NTV → ℝ+∪{0} function satisfies following condition; ∥.∥ is called neutrosophic triplet normed on (NTV,*2, #2).

Where; f: NTF X NTV → ℝ+∪{0}, f(α, x) = f(anti(α), anti(x)) is a function and for every x,y ∈ NTV and α ∈ NTF;

  1. ∥x∥ ≥ 0;

  2. If x = neut(x), then ∥x∥ = 0

  3. ∥α#2x∥ = f(α, x).∥x∥

  4. ∥anti(x)∥ = ∥x∥

  5. If ∥x*2 y∥ ≤ ∥x*2 y*2 neut(k)∥; then ∥x*2y*2 neut(k)∥ ≤ ∥x∥+∥y∥, for any k ∈ NTV.

Furthermore on (NTV,*2,#2), the neutrosophic triplet vector space defined by ∥.∥ is called a neutrosophic triplet normed space and is denoted by ((NTV,*2,#2), ∥.∥).

Example 6.2

From example 5.3; (P(X), *, ∩) is a neutrosophic triplet vector space on

(P(X), ∪, ∩) neutrosophic triplet field. Then taking f: P(X) X P(X) → ℝ+∪{0}, f(A,B) = s(A∩B)/s(B), ∥.∥:P(X) → ℝ+∪{0}. Now we show that;∥A∥ = s(A) is a neutrosophic triplet norm and ((P(X),*, ∩), ∥.∥) is a neutrosophic triplet normed space. Where; s(A) is number of elements in A ∈ P(X)and neut(A) = ∅, anti(A) = A for “*”.

  1. ∥A∥ = s(A) ≥ 0.

  2. If A = neut(A) = ∅, then ∥x∥ = ∥∅ ∥ = 0.

  3. ∥A∩B∥ = s(A∩B) = [s(A ∩B)/s(B)]. s(B) = f(A,B).∥B∥.

  4. As, A = anti(A), it is clear that ∥anti(A)∥ = ∥A∥.

  5. As A*B = A∪B we can take ∥A*B∥ = s(A*B) = s((A*B)*∅) = ∥A*B*∅ ∥ = ∥A*B*neut(C)∥ for any C ∈ P(X). So; ∥A*B∥ = ∥A*B*neut(C)∥ ≤ ∥A∥+∥B∥, for any C ∈ NTV.

It is clear by definition 6.1 that neutrosophic triplet normed spaces are generally different from classical normed spaces, since for there is not any “f” function in classical normed space. However; if certain conditions are met; every classical normed space can be a neutrosophic triplet normed space at the same time.

Theorem 6.3

Let ((V, +, .), ∥.∥) be a normed space on any F field. If we take f(α, x) = |α|; then

∥.∥ Norm provides the neutrosophic triplet norm condition.

Proof

As ((V, +, .),∥.∥) is a normed space; anti(α) = -α; for α ∈ F, we have

f(α, x) = f(anti(α), anti(x)).

  1. From the definition of norm, we have ∥x∥ ≥ 0, for ∀x ∈ V;

  2. From the definition of a vector space; we have neut(x) = 0, for ∀x ∈ V; thus; if x = neut(x); then ∥x∥ = 0.

  3. As f(α) = |α|; we have ∥α. x∥ = |α|.∥x∥ = f(α).∥x∥.

  4. From the definition of vector space; we have anti(x) = -x, for ∀x ∈ V; thus; ∥anti(x)}∥ = ∥-x∥ = ∥-1.x∥ = |1|.∥x∥ = ∥x∥.

  5. From the definition of vector space; we have neut(x) = 0, for ∀x ∈ V; thus; we have ∥x+y}∥ = ∥x+y+neut(k)∥ = ∥x+y∥ ≤ ∥x∥+∥y∥.

Proposition 6.4

Let ((NTV, *2, #2), ∥.∥) be a neutrosophic triplet normed space on (NTF,*1, #1) neutrosophic triplet field. Then, the function d: NTVxNTV → ℝ defined by

d(x,y) = ∥x*2 anti(y)∥ provides neutrosophic triplet metric space conditions.

Proof

Let x,y,z ∈ NTV. From the definition of neutrosophic triplet norm;

  1. d(x,y) = ∥x*2 anti(y)∥) ≥ 0;

  2. If x = y then; d(x,y) = ∥x*2 anti(y)∥ = ∥y*2 anti(y)∥ = ∥neut(y)∥ = 0; Thus; we have d(x,y) = 0

  3. As ∥anti(x)∥ = ∥x∥; we have d(x,y) = ∥x*2 anti(y)∥ = ∥ anti(x*2 anti(y))∥. From the theorem 2.5 and theorem 3.3; we have d(x,y) = ∥anti(x*2 anti(y))∥ = ∥anti(x)*2 anti(anti(y))∥ = ∥anti(x)*2 y∥. As NTV is a commutative group with respect to“*2”; we have d(x,y) = ∥anti(x)}*2 y∥ = ∥y*2 anti(x)∥ = d(y,x).

  4. For any k ∈ NTV ; suppose that d(x,z) = ∥x*2 anti(z)∥ ≤ ∥x*2 anti(z)*2neut(k)∥; then ∥x*2 anti(z)∥ ≤ ∥*2 anti(z)*2neut(k)∥ = ∥x*2 anti(z)*2k*2anti(k)∥. As NTV is a commutative group with respect to “*2”; we have ∥x*2 anti(z)*2k*2anti(k)∥ = ∥(x*2anti(k))*2( anti(z)*2 k)∥ ≤ ∥x*2anti(k)∥ + ∥k*2anti(z))∥. Thus; if d(x,z) ≤ d(x,z*2 neut(k)); then d(x,z*2 neut(k)) ≤ d(x,k)+d(k,z)

Corollary 6.5

Every neutrosophic triplet normed space is a neutrosophic triplet metric space. But the opposite is not always true.

Definition 6.6

Let ((NTV, *2, #2), ∥.∥) be a neutrosophic triplet normed space on (NTF,*1, #1) neutrosophic triplet field. d: NTVx NTV → ℝ neutrosophic triplet metric define by

d(x,y)=x2anti(y)

is called the neutrosophic triplet normed spacereduced by (NTV, *2, #2).

Now let’s define the convergence of a sequence and a Cauchy sequence in the neutrosophic triplet normed space with respect to neutrosophic triplet metric which is reduced by neutrosophic triplet normed space.

Definition 6.7

Let ((NTV,*2, #2), ∥.∥) be a neutrosophic triplet normed space on (NTF,*1, #1) neutrosophic triplet field, {xn} be a sequence in this space and d be a neutrosophic triplet metric reduced by ((NTV,*2, #2), ∥.∥). For all ε > 0, x ∈ NTV such that for all n ≥ M

d(x,{xn})=x2anti(xn})<ε

if there exists a M ∈ ℕ; {xn} sequence converges to x. It is denoted by

limnxn= x or xnx

Definition 6.8

Let ((NTV,*2, #2), ∥.∥) be a neutrosophic triplet normed space on (NTF,*1, #1) neutrosophic triplet field, {xn} be a sequence in this space and d be a neutrosophic triplet metric reduced by ((NTV,*2, #2), ∥.∥). For all ε > 0 such that for all n,m ≥ M

d(xm,{xn})=xm2anti({xn})<ε

if there exists a M ∈ ℕ; {xn} sequence is called Cauchy sequence.

Definition 6.9

Let ((NTV,*2, #2), ∥.∥) be a neutrosophic triplet normed space on (NTF,*1, #1) neutrosophic triplet field, {xn} be a sequence in this space and “d” be a neutrosophic triplet metric reduced by ((NTV,*2, #2), ∥.∥). If each {xn} cauchy sequence in this space is convergent to d reduced neutrosophic triplet metric; ((NTV,*2, #2), ∥.∥) is called neutrosophic triplet Banach space.

Theorem 6.10

Let ((NTV,*2, #2), ∥.∥) be a neutrosophic triplet normed space on (NTF,*1, #1) neutrosophic triplet field, {xn} and {yn} be sequences in ((NTV,*2, #2), ∥.∥) such that {xn} → x ∈ NTV and {yn} → y ∈ NTV.

If ∥x∥≤ ∥x*2 neut(y)∥ and ∥y∥ ≤ ∥y*2 neut(x)∥; then

  1. |∥x∥−∥y∥| ≤ ∥x*2anti(y)∥

  2. limn → ∞xn∥ = ∥x

  3. limn → ∞ (xn+ yn) = x+y

Proof

  1. As ∥x∥ ≤ ∥x*2 neut(y)∥; we have ∥x∥ ≤ ∥x*2 neut(y)∥ = ∥x*2 anti(y)*2y∥. From the definition of neutrosophic triplet norm;

    ∥x∥ ≤ ∥x*2 neut(y)∥ = ∥x*2 anti(y)*2y∥ = ∥x*2 anti(y)*2 y*2 neut(y)∥ ≤ ∥x*2 anti(y)∥+∥y∥. Thus;

    xyx2anti(y)(1)

    As ∥y∥ ≤ ∥y*2 neut(x)∥; we have ∥y∥ ≤ ∥y*2 neut(x)∥ = ∥y*2 anti(x)*2 x∥. From the definition of neutrosophic triplet norm;

    ∥y∥ ≤ ∥y*2 neut(x)∥ = ∥y*2 anti(x)*2 x∥ = ∥y*2 anti(x)*2 x*2 neut(x)∥ ≤ ∥y*2 anti(x)∥+∥x∥. Thus;

    yxx2anti(y)(2)

    Using (1) and (2); we have |∥x∥-∥y∥| ≤ ∥x*2 anti(y)∥.

  2. As {xn} → x and from the condition i); we have |∥x∥ - ∥xn∥| ≤ ∥x*2anti(xn)∥ < ε. Thus; limn → ∞xn∥ = ∥x∥.

  3. As {xn} → x, {yn} → y, ∥x∥ ≤ ∥x*2 neut(y)∥ and ∥y∥ ≤ ∥y*2 neut(x)∥; we have

    ∥(xn*2yn)*2 anti(x*2 y)∥ = ∥(x*2 anti(xn)*2 y*2 anti(yn)∥ ≤ ∥(x*2 anti(xn) ∥+∥ y*2 anti(yn)∥ < ε. Thus; limn → ∞ (xn+ yn) = x+y.

Theorem 6.11

Let ((NTV,*2, #2), ∥.∥) be a neutrosophic triplet normed space on (NTF,*1, #1) neutrosophic triplet field, {xn} and {yn} be sequences in ((NTV,*2, #2), ∥.∥) such that {xn} → x ∈ NTV. If limn → ∞xn*2anti(yn)∥ = 0 and ∥x*2anti(yn)∥ ≤ ∥x*2anti(yn)*2neut(xn)∥; then limn → ∞yn = x;

Proof

As ∥x*2anti(yn)∥ ≤ ∥x*2anti(yn)*2neut(xn)∥; we have ∥x*2anti(yn)∥ ≤ ∥x*2anti(yn)*2neut(xn)∥ = ∥x*2anti(yn)*2xn*2anti(xn)∥

= ∥(x*2xn)*2(anti(yn)*2anti(xn))∥ ≤ ∥x*2anti(xn)∥ + ∥xn*2anti(yn)∥. Thus; as limn → ∞xn*2anti(yn)∥ = 0 and {xn} → x; we have ∥x*2anti(yn)∥ ≤ ε and limn → ∞yn = x.

7 Conclusion

In this paper; we give new properties for neutrosophic triplet groups and we introduced neutrosophic triplet metric space, neutrosophic triplet vector space and neutrosophic triplet normed space. We also show that this neutrosophic triplet notions different from the classical notions. Theseneutrosophic triplet notions have several extraordinary properties compared to the classical notions. We also studied some interesting properties of this newly born structure. We give rise to a new field or research called neutrosophic triplet structures.

References

[1] Zadeh Lotfi A., "Fuzzy sets." Information and control, 1965, 8.3 338-353.10.1016/S0019-9958(65)90241-XSuche in Google Scholar

[2] Atanassov, T. K., 1986, Intuitionistic fuzzy sets, Fuzzy Sets Syst, 1986, 20, 87–96.10.1016/S0165-0114(86)80034-3Suche in Google Scholar

[3] Smarandache F., A Unifying Field in logics, Neutrosophy: Neutrosophic Probability, Set and Logic, American Research Press, 1999.Suche in Google Scholar

[4] Kandasamy WBV, Smarandache F., Basic neutrosophic algebraic structures and their applications to fuzzy and neutrosophic models, Hexis, Frontigan, 2004, 219.Suche in Google Scholar

[5] Kandasamy WBV., Smarandache F., Some neutrosophic algebraic structures and neutrosophic n-algebraic structures. Hexis, Frontigan, 2006, 219.Suche in Google Scholar

[6] Smarandache F., Ali M., Neutrosophic triplet as extension of matter plasma, unmatter plasma and antimatter plasma, APS Gaseous Electronics Conference, 2016, 10.1103/BAPS.2016.GEC.HT6.110.Suche in Google Scholar

[7] Smarandache F., Ali M., The Neutrosophic Triplet Group and its Application to Physics, presented by F. S. to Universidad Nacional de Quilmes, Department of Science and Technology, Bernal, Buenos Aires, Argentina, 02 June 2014.Suche in Google Scholar

[8] Smarandache F., Ali M., Neutrosophic triplet group. Neural Computing and Applications, 2016, 1-7.10.1007/s00521-016-2535-xSuche in Google Scholar

[9] Smarandache F., Ali M., Neutrosophic Triplet Field Used in Physical Applications, (Log Number: NWS17-2017-000061), 18th Annual Meeting of the APS Northwest Section, Pacific University, Forest Grove, OR, USA, June 1-3, 2017, http://meetings.aps.org/Meeting/NWS17/Session/D1.1.Suche in Google Scholar

[10] Smarandache F., Neutrosophic Triplets, University of New Mexico, Gallup Campus, USA, http://fs.gallup.unm.edu/NeutrosophicTriplets.htm.Suche in Google Scholar

[11] Smarandache F., Ali M., Neutrosophic Triplet Ring and its Applications, (Log Number: NWS17-2017-000062), 18th Annual Meeting of the APS Northwest Section, Pacific University, Forest Grove, OR, USA, June 1-3, 2017, http://meetings.aps.org/Meeting/NWS17/Session/D1.2.Suche in Google Scholar

[12] Broumi S., Bakali A., Talea M., Smarandache F., Single Valued Neutrosophic Graphs: Degree, Order and Size. IEEE International Conference on Fuzzy Systems (FUZZ), 2016, 2444-2451.10.1109/FUZZ-IEEE.2016.7738000Suche in Google Scholar

[13] Broumi S., Bakali A., Talea M., Smarandache F. Decision-Making Method Based On the Interval Valued Neutrosophic Graph, Future Technologie, IEEE, 2016, 44-50.10.1109/FTC.2016.7821588Suche in Google Scholar

[14] Broumi S., Bakali A., Talea M., Smarandache F., Vladareanu L., Computation of Shortest Path Problem in a Network with SVTrapezoidal Neutrosophic Numbers, Proceedings of the 2016 International Conference on Advanced Mechatronic Systems, Melbourne, Australia, 2016, 417-422.10.1109/ICAMechS.2016.7813484Suche in Google Scholar

[15] Broumi S., Bakali A., Talea M., Smarandache F., Vladareanu L. (Applying Dijkstra Algorithm for Solving Neutrosophic Shortest Path Problem, Proceedings of the 2016 International Conference on Advanced Mechatronic Systems, Melbourne, Australia, November 30 - December 3, 2016, 412-416.10.1109/ICAMechS.2016.7813483Suche in Google Scholar

[16] Liu P., Shi L., The Generalized Hybrid Weighted Average Operator Based on Interval Neutrosophic Hesitant Set and Its Application to Multiple Attribute Decision Making, Neural Computing and Applications, 2015, 26(2), 457-471.10.1007/s00521-014-1736-4Suche in Google Scholar

[17] Liu P., Shi L., Some Neutrosophic Uncertain Linguistic Number Heronian Mean Operators and Their Application to Multiattribute Group Decision making, Neural Computing and Applications, 2015, 10.1007/s00521-015-2122-6.Suche in Google Scholar

[18] Liu P., Tang G., Some power generalized aggregation operators based on the interval neutrosophic numbers and their application to decision making, Journal of Intelligent & Fuzzy Systems 30, 2016, 2517-2528.10.3233/IFS-151782Suche in Google Scholar

[19] Liu P., Tang G., Multi-criteria group decision-making based on interval neutrosophic uncertain linguistic variables and Choquet integral, Cognitive Computation, 2016, 8(6), 1036-1056.10.1007/s12559-016-9428-2Suche in Google Scholar

[20] Liu P., Wang Y., Interval neutrosophic prioritized OWA operator and its application to multiple attribute decision making, journal of systems science & complexity, 2016, 29(3), 681-697.10.1007/s11424-015-4010-7Suche in Google Scholar

[21] Liu P., Teng F., Multiple attribute decision making method based on normal neutrosophic generalized weighted power averaging operator, internal journal of machine learning and cybernetics, 2015, 10.1007/s13042-015-0385-y.Suche in Google Scholar

[22] Liu P., Zhang L., Liu X., Wang P., Multi-valued Neutrosophic Number Bonferroni mean Operators and Their Application in Multiple Attribute Group Decision Making, internal journal of information technology & decision making, 2016, 15(5), 1181-1210.10.1142/S0219622016500346Suche in Google Scholar

[23] Liu P., The aggregation operators based on Archimedean tconorm and t-norm for the single valued neutrosophic numbers and their application to Decision Making, International Journal of Fuzzy Systems, 2016, 18(5), 849-863.10.1007/s40815-016-0195-8Suche in Google Scholar

[24] Sahin M., Kargın A., Neutrosophic triplet metric space and neutrosophic triplet normed space, ICMME -2017, Şanlıurfa.10.1515/phys-2017-0082Suche in Google Scholar

[25] Sahin M., Deli I., Ulucay V., Jaccard vector similarity measure of bipolar neutrosophic set based on multi-criteria decision making. In: International conference on natural science and engineering (ICNASE’16), 2016, March 19–20, Kilis.Suche in Google Scholar

[26] Sahin M., Deli I., Ulucay V., Similarity measure of bipolar neutrosophic sets and their application to multiple criteria decision making, Neural Comput & Applic, 2016, 10.1007/S00521.Suche in Google Scholar

[27] Liu C., Luo Y., Power aggregation operators of simplifield neutrosophic sets and their use in multi-attribute group decision making, İEE/CAA Journal of Automatica Sinica, 2017, 99, 10.1109/JAS.2017.7510424.Suche in Google Scholar

[28] Sahin R., Liu P., Some approaches tomulti criteria decision making based on exponential operations of simplied neutrosophic numbers, Journal of Intelligent & Fuzzy Systems, 2017, 32(3), 2083-2099, 10.3233/JIFS-161695.Suche in Google Scholar

[29] Liu P., Li H., Multi attribute decision-making method based on some normal neutrosophic bonferroni mean operators, Neural Computing and Applications, 2017, 28(1), 179-194, 10.1007/s00521-015-2048-z.Suche in Google Scholar

[30] Şahin M., Olgun N., Uluçay V., Kargın A., Smarandache, F., A new similerity measure on falsty value between single valued neutrosophic sets based on the centroid points of transformed single valued neutrosophic numbers with applications to pattern recognition, Neutrosophic Sets and Systems, 2017, 15, 31-48, org/10.5281/zenodo570934.Suche in Google Scholar

[31] Şahin M., Ecemiş O., Uluçay V., Kargın, A., Some new generalized aggregation operators based on centroid single valued triangular neutrosophic numbers and their applications in multiattribute decision making, Asian Journal of Mathematics and Computer Research, 2017, 16(2), 63-84.Suche in Google Scholar

Received: 2017-6-22
Accepted: 2017-8-14
Published Online: 2017-11-10

© 2017 M. Şahin and A. Kargın

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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  209. Special Issue on Ever-New "Loopholes" in Bell’s Argument and Experimental Tests
  210. Nonrecurrence and Bell-like inequalities
  211. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  212. Three-dimensional computer models of electrospinning systems
  213. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  214. Electric field computation and measurements in the electroporation of inhomogeneous samples
  215. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  216. Modelling of magnetostriction of transformer magnetic core for vibration analysis
  217. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  218. Comparison of the fractional power motor with cores made of various magnetic materials
  219. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  220. Dynamics of the line-start reluctance motor with rotor made of SMC material
  221. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  222. Inhomogeneous dielectrics: conformal mapping and finite-element models
  223. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  224. Topology optimization of induction heating model using sequential linear programming based on move limit with adaptive relaxation
  225. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  226. Detection of inter-turn short-circuit at start-up of induction machine based on torque analysis
  227. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  228. Current superimposition variable flux reluctance motor with 8 salient poles
  229. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  230. Modelling axial vibration in windings of power transformers
  231. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  232. Field analysis & eddy current losses calculation in five-phase tubular actuator
  233. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  234. Hybrid excited claw pole generator with skewed and non-skewed permanent magnets
  235. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  236. Electromagnetic phenomena analysis in brushless DC motor with speed control using PWM method
  237. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  238. Field-circuit analysis and measurements of a single-phase self-excited induction generator
  239. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  240. A comparative analysis between classical and modified approach of description of the electrical machine windings by means of T0 method
  241. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  242. Field-based optimal-design of an electric motor: a new sensitivity formulation
  243. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  244. Application of the parametric proper generalized decomposition to the frequency-dependent calculation of the impedance of an AC line with rectangular conductors
  245. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  246. Virtual reality as a new trend in mechanical and electrical engineering education
  247. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  248. Holonomicity analysis of electromechanical systems
  249. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  250. An accurate reactive power control study in virtual flux droop control
  251. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  252. Localized probability of improvement for kriging based multi-objective optimization
  253. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  254. Research of influence of open-winding faults on properties of brushless permanent magnets motor
  255. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  256. Optimal design of the rotor geometry of line-start permanent magnet synchronous motor using the bat algorithm
  257. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  258. Model of depositing layer on cylindrical surface produced by induction-assisted laser cladding process
  259. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  260. Detection of inter-turn faults in transformer winding using the capacitor discharge method
  261. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  262. A novel hybrid genetic algorithm for optimal design of IPM machines for electric vehicle
  263. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  264. Lamination effects on a 3D model of the magnetic core of power transformers
  265. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  266. Detection of vertical disparity in three-dimensional visualizations
  267. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  268. Calculations of magnetic field in dynamo sheets taking into account their texture
  269. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  270. 3-dimensional computer model of electrospinning multicapillary unit used for electrostatic field analysis
  271. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  272. Optimization of wearable microwave antenna with simplified electromagnetic model of the human body
  273. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  274. Induction heating process of ferromagnetic filled carbon nanotubes based on 3-D model
  275. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF 2017
  276. Speed control of an induction motor by 6-switched 3-level inverter
Heruntergeladen am 11.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/phys-2017-0082/html
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