Abstract
This paper aims to explore the algebra structure of refined neutrosophic numbers. Firstly, the algebra structure of neutrosophic quadruple numbers on a general field is studied. Secondly, The addition operator ⊕ and multiplication operator ⊗ on refined neutrosophic numbers are proposed and the algebra structure is discussed. We reveal that the set of neutrosophic refined numbers with an additive operation is an abelian group and the set of neutrosophic refined numbers with a multiplication operation is a neutrosophic extended triplet group. Moreover, algorithms for solving the neutral element and opposite elements of each refined neutrosophic number are given.
1. Introduction
The notion of neutrosophic set was proposed by F. Smarandache [1], which is an extension of fuzzy set and in order to solve real-world problems. A neutrosophic set has three membership functions, and each membership degree is a real standard or non-standard subset of the nonstandard unit interval .
In recent years, the idea of neutrosophic set has been applicable in related algebraic structures. Among these algebraic structures, Smarandache and Ali [2] proposed the algebraic system neutrosophic triplet group (NTG), which is an extension of the classical group but the neutral element is different from the classical algebraic unit element. To regard the unit element as a special neutral element, the neutrosophic extended triplet group (NETG) has been proposed [3,4] and the classical group is regarded as a special case of a NETG. Moreover, some research papers have carried out in-depth research based on NTG (NETG). For example, the inclusion relations of neutrosophic sets [5], neutrosophic triplet coset [6], neutrosophic duplet semi-groups [7], generalized neutrosophic extended triplet group [8], AG-neutrosophic extended triplet loops [9,10], the neutrosophic set theory to pseudo-BCI algebras [11], neutrosophic triplet ring and a neutrosophic triplet field [12,13], neutrosophic triplet normed space [14], neutrosophic soft sets [15], neutrosophic vector spaces [16] and so on have been studied.
As an example of NETG, Ma [8] revealed that for each is a commutative NETG if and only if the factorization of n is a product of single factors. As another example, Ma [17] showed that the set of neutrosophic quadruple numbers with a multiplication operation is a NETG. The concept of neutrosophic numbers of the form , where I is the indeterminacy with , and, a and are real or complex numbers. If I into many types of indeterminacies , in [18], Smarandache extended the neutrosophic numbers into refined neutrosophic numbers of the form , where are real or complex numbers and considered the refined neutrosophic set based on these refined neutrosophic numbers. The notion of neutrosophic quadruple number, which has form: where are real (or complex) numbers; and T is the truth/membership/probability; I is the indeterminacy; and F is the false/membership/improbability are called Neutrosophic Quadruple (Real, respectively, Complex) Numbers. “a” is called the known part of , while is called the unknown part of . Similar to refined neutrosophic numbers, if T can be split into many types of truths, , I into many types of indeterminacies, , and F into many types of falsities, , we can get the refined neutrosophic quadruple numbers. We know that the set of neutrosophic quadruple numbers with a multiplication operation is a NETG. In this paper, we explore the algebra structure of refined neutrosophic numbers (refined neutrosophic quadruple numbers) and give new examples of NETG. In fact, the solving method of the neutral element and opposite elements for each refined neutrosophic number is different from the solving method for each neutrosophic quadruple number.
The paper is organized as follows. Section 2 gives the basic concepts. In Section 3, we show that the set of neutrosophic quadruple numbers on the general field with a multiplication operation also consists of a NETG. In Section 4, the algebra structure of refined neutrosophic numbers and refined neutrosophic quadruple numbers are studied. Finally, the summary and future work is presented in Section 5.
2. Basic Concepts
In this section, we provide the related basic definitions and properties of NETG, neutrosophic quadruple numbers, and refined neutrosophic numbers (for details, see [3,4,18,19,20]).
Definition 1
([3,4]). Let N be a non-empty set together with a binary operation *. Then, N is called a neutrosophic extended triplet set if, for any , there exists a neutral of “a” (denote by ), and an opposite of “a”(denote by , such that , and:
The triplet is called a neutrosophic extended triplet.
Definition 2
([3,4]). Let be a neutrosophic extended triplet set. Then, N is called a neutrosophic extended triplet group (NETG), if the following conditions are satisfied:
- (1)
- is well-defined, i.e., for any , one has .
- (2)
- is associative, i.e., for all .
A NETG N is called a commutative NETG if for all .
Proposition 1
([4]). be a NETG. We have:
- (1)
- is unique for any .
- (2)
- for any .
- (3)
- for any .
Definition 3
([18,19]). A neutrosophic number is a number of the form , where I is the indeterminacy with , and a and b are real or complex numbers. A refined neutrosophic number is a number of the form , where are different types of indeterminacies, and are real or complex numbers. The set defined by
is called a neutrosophic set of neutrosophic numbers. The set defined by
is called a neutrosophic set of refined neutrosophic numbers.
Definition 4
([18,20]). A neutrosophic quadruple number is a number of the form , where and F have their usual neutrosophic logic meanings, i.e., truth, indeterminacy and false, respectively, and or . The set defined by
is called a neutrosophic set of quadruple numbers. For a neutrosophic quadruple number , a is called the known part and is called the unknown part. The set defined by
is called a neutrosophic set of refined neutrosophic quadruple numbers.
Definition 5
([18,20]). Let N be a set, endowed with a total order , named “a prevailed by b”, “a less stronger than b” or “a less preferred than b”. We consider as “a prevailed by or equal to b”, “a less stronger than or equal to b”, or “a less preferred than or equal to b”.
For any elements , with , one has the absorbance law:
which means that the bigger element absorbs the smaller element. Clearly,
and
Analogously, we say that “” and we read: “a prevails to b”, “a is stronger than b” or “a is preferred to b”. In addition, , and we read: “a prevails or is equal to b”, “a is stronger than or equal to b”, or “a is preferred or equal to b”.
Definition 6
([18,20]). Consider the set . Suppose in an optimistic way we consider the prevalence order . Then, we have: .
Analogously, suppose in a pessimistic way we consider the prevalence order . Then, we have: .
Definition 7
([18,20]). Let . Suppose, in an pessimistic way, the neutrosophic expert considers the prevalence order . Then, the multiplication operation is defined as follows:
Suppose in an optimistic way the neutrosophic expert considers the prevalence order . Then,
Proposition 2
([18,20]). Let . We have:
- (1)
- is a commutative monoid.
- (2)
- is a commutative monoid.
Theorem 1.
[17] For the algebra system (or ), for every element , there exists the neutral element and opposite element , which means that the algebra system (or ) is a NETG.
3. The Algebra Structure of Neutrosophic Quadruple Numbers on General Field
From the above section, we can see that the neutrosophic quadruple numbers are defined on number field or . In this section, the notions of the neutrosophic quadruple numbers on a general field are introduced and the algebra structure of the neutrosophic quadruple numbers on general field is explored.
Let be a field, and 0 and 1 are the unit elements for operator + and ·, respectively. For every , is the inverse element of a for operator +, and is the inverse element of a for operator ·. In the following, field is denoted by for short and is denoted by .
Definition 8.
Let be a field; a neutrosophic quadruple number is a number of the form , where have their usual neutrosophic logic meanings, i.e., truth, indeterminacy and false, respectively, and . The set defined by
is called a neutrosophic set of quadruple numbers on field .
Definition 9.
Let , then the addition operator is defined as follows:
Definition 10.
Let . Suppose, in an pessimistic way, the neutrosophic expert considers the prevalence order . Then, the multiplication operation is defined as follows:
Suppose in an optimistic way the neutrosophic expert considers the prevalence order . Then,
Theorem 2.
is an abelian group.
Proof.
It is obvious. □
Theorem 3.
For the algebra system (or ), for every element , there exists the neutral element and opposite element , thus the algebra system (or ) is a NETG.
The proof’s method is similar to the proof when in [17]. The detailed proof is omitted. For algebra system , Table 1 gives all the subsets which have the same neutral element, and the corresponding neutral element and opposite elements. In the following, from two examples, we show that how to solve the the neutral element and opposite elements of each element for algebra system on different fields.
Table 1.
The corresponding neutral element and opposite elements for .
Example 1.
Let , then is a field, where + and · are the classical mod addition and multiplication, respectively. For algebra system , if , i.e., , then, from Table 1, we can get . Let , so , thus , where . Thus, we can easily get the neutral element and opposite elements of each neutrosophic quadruple number on general field. For more examples, see the following:
- 1.
- Let , then and .
- 2.
- Let , then and , where .
- 3.
- Let , then and , where .
Example 2.
Let , the operators + and · on is defined by Table 2.
Table 2.
The operators + and · on .
Then, is a field. Set . We have:
- 1.
- Let , then and , where .
- 2.
- Let , then and , where .
- 3.
- Let , then and , where .
In the same way, for algebra system , Table 3 gives all the subsets which have the same neutral element, and the corresponding neutral element and opposite elements.
Table 3.
The corresponding neutral element and opposite elements for .
4. The Algebra Structure of Refined Neutrosophic Numbers on General Field
In the above section, we reveal that the algebra structure of the neutrosophic quadruple numbers on general field. In this section, we explore the the algebra structure of the refined neutrosophic numbers (refined neutrosophic quadruple numbers) on general field.
Definition 11.
Let be a field; a refined n-ary neutrosophic number is a number of the form , where , and are different types of indeterminacies, and . The set defined by
is called a refined neutrosophic set on field .
Definition 12.
Let , then the addition operator on is defined as follows:
Definition 13.
Let , the neutrosophic expert considers the prevalence order . Then, the multiplication operation is defined as follows:
The neutrosophic expert considers the prevalence order . Then,
Theorem 4.
is an abelian group.
Proof.
The proof is obvious. □
Theorem 5.
For the algebra system (or ), for every element , there exists the neutral element and opposite element , thus the algebra system (or ) is a NETG.
Proof.
We use applied mathematical induction for n and only discuss the algebra system . The algebra system has a similar proof.
If , for refined 2-ary neutrosophic set, which is same as neutrosophic binary numbers set in [17], from Theorem 7 in [17], we can see that for every element , there exists the neutral element and opposite element , thus the algebra system is a NETG.
Assume that the refined n-ary neutrosophic set is a NETG. That is, for every element , there exists the neutral element and opposite element . In the following, we prove that for the refined -ary neutrosophic set, which is a NETG.
For each , let , being , then, from the above assumption condition, and exist and let , . We prove for , and exist. We discuss from the different cases of .
Case A: If , Being , that is , thus we discuss from or .
Case A1: If , so , that is and can be chosen arbitrarily in .
Case A2: If , so from , we have , from , thus .
Case B: If , being , that is , that is , we discuss from or .
Case B1: If , we have , so from , that is and can be chosen arbitrarily in .
Case B2: If , we have , so from , that is and .
From the above analysis, we can see that, for each , which has the neutral element and opposite element , from the mathematical induction method, we can obtain that the algebra system is a NETG. □
For algebra system , if , let , if we have , . Then, the corresponding neutral element and opposite elements of a are given in Table 4 according to the different cases of .
Table 4.
The corresponding neutral element and opposite elements for
For algebra system , according to the results in Tables 3 and 4 in [17], we can easily obtain the neutral element and opposite elements when on general fields. In Table 1, we can get the neutral element and opposite elements when on general field. Thus, from Theorem 5, we can get the neutral element and opposite elements of each element in step-by-step. The solving method is given by Algorithm 1 and the following example is used to explain the algorithm.
| Algorithm 1 Solving the neutral element and opposite elements of each element in . |
| Input: 1: ; 2: For 3: ; 4: If 5: Obtain by Table 1; 6: else 7: Obtain by Table 4 combining the values of and ; 8: end 9: Save ; 10: end Output: |
Example 3.
For algebra system , and set . If , from Table 3 in [17], we can get and , where .
In the following, we use two methods to solve the the neutral element and opposite elements of and we get the same results.
- 1.
- Algorithm 1: From Table 2, being and , thus , that is and , where and can be chosen arbitrarily in .
- 2.
- Rsults from Table 4 in [17]: Being and , thus and , where and can be chosen arbitrarily in .
Example 4.
For algebra system , and set . If , from Table 4 in [17], we can get and , where .
In the same way, we use two methods to solve the the neutral element and opposite elements of .
- 1.
- Algorithm 1: From Table 2, being and , thus , that is and , thus , where .
- 2.
- Results from Table 1 in [17]: Being and , thus and , , thus , where .
For algebra system , set , being the order , thus we should obtain the neutral element and opposite elements of . Knowing that , , then the corresponding neutral element and opposite elements of a are given in Table 5 according to the different cases of .
Table 5.
The corresponding neutral element and opposite elements for .
Similarly, we also can get the neutral element and opposite elements of each element in step-by-step. The solving method is given by Algorithm 2 and the following example is used to explain the algorithm.
| Algorithm 2 Solving the neutral element and opposite elements of each element in . |
| Input: 1: ; 2: While 3: ; 4: If 5: Obtain by Table 3; 6: else 7: Obtain by Table 5 combining the values of and ; 8: end 9: Save ; 10: ; 11: end Output: |
Example 5.
For algebra system , and set , , solve the neutral element and opposite elements of a.
Similarly, we explore the the algebra structure of the refined neutrosophic quadruple numbers on general field in the following.
Definition 14.
Let be a field; a refined neutrosophic quadruple number is a number of the form , where . The set defined by
is called a refined neutrosophic quadruple set on field .
Definition 15.
Let , , then the addition operator is defined as follows:
Definition 16.
Let , ; the neutrosophic expert considers the prevalence order . Then, the multiplication operation is defined as follows:
The neutrosophic expert considers the prevalence order . Then,
Similarly, we also have the following results.
Theorem 6.
is an abelian group.
Theorem 7.
For the algebra system (or ), for every element , there exists the neutral element and opposite element , thus the algebra system (or ) is a NETG.
Example 6.
For algebra system , and set , , solve the neutral element and opposite elements of a.
According Algorithm 1 for algebra system , firstly, we solve the neutral element and opposite elements of from Table 1. We then solve the neutral element and opposite elements of from Table 4. Next we solve the neutral element and opposite elements of from Table 4. Finally, we solve the neutral element and opposite elements of a from Table 4.
- 1.
- From Table 1, and , where .
- 2.
- From Table 4 and combining the results of the above step: Being and , thus and , where .
- 3.
- From Table 4 and combining the results of the above step: Being and , thus and , where .
- 4.
- From Table 4 and combining the results of the above step: Being and , thus and , where .
Example 7.
For algebra system , and set , , solve the neutral element and opposite elements of a.
Similar to Example 6, according Algorithm 1 for algebra system , firstly, we solve the neutral element and opposite elements of from Table 1. We then solve the neutral element and opposite elements of from Table 4. Next, we solve the neutral element and opposite elements of from Table 4. Finally, we solve the neutral element and opposite elements of a from Table 4.
- 1.
- From Table 1, and , where .
- 2.
- From Table 4 and combining the results of the above step: Being and , thus and , where .
- 3.
- From Table 4 and combining the results of the above step: Being and , thus and , where .
- 4.
- From Table 4 and combining the results of the above step: Being and , thus and , where .
5. Conclusions
In this paper, we study the algebra structure of and , and we prove that (or ) is a neutrosophic extended triplet group, and provide new examples of neutrosophic extended triplet group and the neutral element and opposite elements of each refined n-ary neutrosophic number (refined neutrosophic quadruple number) can be obtained by given algorithms. In the following, we can explore the algebra structure of or . We can also explore the relation of neutrosophic quadruple numbers and other algebra systems in papers [21,22,23]. Moreover, on the one hand, we will discuss the neutrosophic quadruple numbers based on some particular ring which can form a neutrosophic extended triplet group, while, on the other hand, we will introduce a new operation ∘ in order to guarantee is a neutrosophic triplet ring.
Author Contributions
All authors contributed equally to this paper.
Funding
This research was funded by National Natural Science Foundation of China (Grant No. 11501435), Discipline Construction Funding of Xi’an Polytechnic University, Instructional Science and Technology Plan Projects of China National Textile and Apparel Council (No. 2016073) and Scientific Research Program Funded by Shaanxi Provincial Education Department (Program No. 18JS042).
Acknowledgments
The authors would like to thank the reviewers for their many insightful comments and suggestions.
Conflicts of Interest
The authors declare no conflicts of interest.
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