1. Introduction
Neutrosophic sets were firstly proposed by Smarandache [
1] from a philosophical point of view in 1998, which is a generalization of fuzzy sets and intuitionistic fuzzy sets. However, it is difficult to apply neutrosophic sets to solve practical problems since the values of their three functions with respect to truth, indeterminacy and falsity lie in ]0−,1+[. The definition of single-valued neutrosophic sets were introduced by Wang [
2], whose values belong to [0,1]. With the development of neutrosophic set theory, single-valued neutrosophic sets and their applications have been investigated by more scholars. Single-valued neutrosophic sets were successfully applied to various decision making problems [
3,
4,
5,
6,
7,
8]. In addition, Zhang et al. studied the neutrosophic logic algebras and discussed neutrosophic filters and neutrosophic triplet groups, which are the important foundation of the development of neutrosophic logic theory [
9,
10,
11,
12]. To facilitate research, “single-valued neutrosophic sets” are abbreviated as “neutrosophic sets” in this paper. For neutrosophic sets, the truth-membership, indeterminacy-membership and falsity-membership are not restricted to each other, which is different from intuitionistic fuzzy sets. Picture fuzzy sets proposed by Cuong [
13] in 2013 is a direct generalization of intuitionistic fuzzy sets, because their positive membership, neutral membership and negative membership are not independent completely. It is worth noting that picture fuzzy sets can be regarded as special neutrosophic sets [
14,
15], and also can be called standard neutrosophic sets [
1,
2,
16,
17,
18,
19].
Fuzzy logic plays a vital role in fuzzy set theory. T-norms, t-conorms, negators and implications are very important fuzzy logic operators. T-norms were originally defined by Menger [
20], and then Schweizer and Sklar [
21,
22] redefined the t-norms which have been used to today. From the perspective of fuzzy logic, t-norms are the extension of intersection operation of fuzzy sets [
23]. The algebraic properties of t-norms, for example, continuity, archimedean, strict, nilpotent and so on, are discussed in some papers [
24,
25,
26,
27,
28]. Hu et al. studied t-norm extension operations [
29]. Wang et al. discussed the lattice structure of algebra of fuzzy values [
30]. The t-norms which satisfy the residual principle are an important class of t-norms, because they can produce fuzzy implications and constitute the residuated lattices [
31,
32,
33,
34]. Type-2 t-norms (t-conorms) and their residual operators on type-2 fuzzy sets were investigated by Li [
25], which promote the development of fuzzy reference system. Intuitionistic fuzzy t-norms on intuitionistic fuzzy sets (
-fuzzy sets) were proposed by Deschrijver et al., they discussed t-representable intuitionistic fuzzy t-norms and their residual operators [
35,
36]. Picture fuzzy sets are particular
L-fuzzy sets [
37]. Picture fuzzy t-norms on picture fuzzy sets were introduced in [
17,
38,
39], some basic picture fuzzy logic connectives and their properties for picture fuzzy sets are investigated in [
40,
41]. Some classes of representable picture fuzzy t-norms and representable picture fuzzy t-conorms on picture fuzzy sets and De Morgan picture operator triples in picture fuzzy logic are discussed [
42]. Furthermore, a picture inference system is proposed by Son [
43]. The residual operations, residual implications of uninorms were discussed by Baets [
44]. Wang proposed the notions of residual implications (co-implications) of pseudo t-norms, left and right uninorms and studied some properties of infinitely ∨-distributive (∧-distributive) pseudo t-norms, left and right uninorms [
45,
46,
47]. Then Liu introduced semi-uninorms and their residual implications [
48].
Neutrosophic t-norms, neutrosophic t-conorms, neutrosophic negators and neutrosophic implications are important neutrosophic logic operators for neutrosophic sets. It is a very meaningful topic to discuss neutrosophic t-norms and their residual implications on neutrosophic sets. In the last few years, although Alkhazaleh discusses some neutrosophic t-norms and t-conorms in [
49], Liu proposes aggregation operators based on Archimedean t-norms and t-conorms for neutrosophic numbers in [
5], Smarandache discussed neutrosophic norms (n-norms), n-valued refined neutrosophic logic and its applications in physics [
50,
51], there are a few papers about basic neutrosophic logic connectives and their properties and neutrosophic logic inference systems and their applications in the field of control. Therefore, it is necessary to study neutrosophic logic operators and their properties, especially the application of neutrosophic residual implications in neutrosophic inference and neutrosophic control.
To achieve these goals, the definitions of neutrosophic t-norms should be given firstly. We can study neutrosophic logic and neutrosophic inference systems further only if neutrosophic t-norms and their residual implications are studied thoroughly. Thus, it is the main task of this paper to study neutrosophic t-norms and their residual implications.
Section 2 presents some basic notions. In
Section 3, the lattice structure of neutrosophic sets is analyzed and constructed systematically based on the first type inclusion relation on neutrosophic sets. In particular, we combine some basic algebraic operations: Union, intersection and complement and their related properties to prove that the system
is a De Morgan algebra. In
Section 4, we introduce neutrosophic t-norms (t-conorms), representable neutrosophic t-norms (t-conorms) and De Morgan neutrosophic triples. In addition, we present some important theorems and typical examples. In
Section 5, the definitions of neutrosophic residual implications (co-implications) are obtained and their basic properties are discussed deeply. Moreover, residual neutrosophic t-norms (t-conorms) are proved to be infinitely ∨-distributive (∧-distributive), and then some important results related to residual neutrosophic t-norms and neutrosophic residual implications are given.
Section 6 shows a method for obtaining neutrosophic t-norms from neutrosophic implications, and then proves that the system
is a residuated lattice. In
Section 7, we conclude the paper.
3. The Lattice Structure of
Now we consider the set
defined by,
As defined above, if , then u has three components: The first component , the second component and the third component .
The order relation
on
can also be defined by, for all
,
Proposition 1. is a partially ordered set.
Proof. - (1)
Reflexivity: , for all .
- (2)
Anti-symmetry: If and , then it is obvious that , for all .
- (3)
Transitivity: If and , then , that is, , for all .
□
Proposition 2. The operations and are defined by, for all , Then is called the greatest lower bound of , denoted by ; is called the least upper bound of , denoted by . That is, is a lattice.
Proof. According to the definitions above, if either or , is the greatest lower bound of u and v. Thus, . Similarly, can be obtained.
Now, we assume that neither nor . According to the definitions above, , .
(i) To prove
, we denote
Since , , , . Similarly, we have . Thus, is the lower bound of u and v. Furthermore, is the greatest lower bound of u and v. In fact, assume with the condition and . Then, and . Therefore, , , . Hence, . To sum up, is the greatest lower bound of u and v.
(ii) To prove
, we denote
Since , , , . Similarly, we have . Thus, is the upper bound of u and v. Furthermore, is the least upper bound of u and v. In fact, assume with the condition and . Then, and . Therefore, , , . Hence, . To sum up, is the least upper bound of u and v.
(i) and (ii) show that , , for all . Then is a lattice. □
The first, second and third projection mapping , and on are defined as follows, , and , for all .
Proposition 3. is a complete lattice.
Proof. Let
B be a nonempty subset of
, we have
where
,
,
.
And
where
,
,
. □
The maximum and minimum of are denoted by and , respectively.
Note that, if u and v are incomparable with respect to , for all , then the relationship between u and v can be denoted as .
Obviously, each neutrosophic set
corresponds to a
-fuzzy set. That is, there exits a mapping
Based on the relationship between neutrosophic sets and -fuzzy sets, the triple formed by the three membership degrees of neutrosophic sets is an element of . Therefore, we can obtain more compact formulas for neutrosophic sets, analyze and extend some operators defined in the fuzzy case for neutrosophic sets by using the lattice .
For example, the intersection of two neutrosophic sets
M and
N in a universe
U is defined as
Using the lattice
, we can get, for all
,
Definition 6. The complement of u is defined by, for all , Proposition 4. Let . Then
- (1)
, ;
- (2)
, ;
- (3)
, ;
- (4)
, ;
- (5)
if and only if , ;
- (6)
Proposition 5. Let . Then
- (1)
;
- (2)
.
Proof. (1) Suppose . If , that is, . By Definition 6, we have . Thus, . Similarly, if , then and . If , then . Thus, . Since . Hence, .
(2) Similarly, we can get . □
Proposition 6. The system is a De Morgan algebra.
Proof. By Propositions 1–5 and the definition of the generalized De Morgan algebra [
14,
55], we can get that
is a generalized De Morgan algebra. Furthermore, we can prove that
is a distributive lattice, that is, for all
such that
.
- (1)
For all , if any two of them are comparable, then there are six situations as follows:
- Case 1:
If , then , .
- Case 2:
If , then , .
- Case 3:
If , then , .
- Case 4:
If , then , .
- Case 5:
If , then , .
- Case 6:
If , then , .
Thus, .
- (2)
For all , if at least two of them are not comparable, then .
Therefore, is a De Morgan algebra. □
Considering the second type inclusion relation on neutrosophic sets which is dual of the first type inclusion relation, we get that is also a De Morgan algebra.
From this, Proposition 2.2 (see [
14]) can be easily proved by using Proposition 6. That is, Proposition 2.2 (see [
14]) is a corollary of Proposition 6.
In short, in combination with the conclusions given in [
14], we find that neutrosophic net is different from intuitionistic fuzzy set.
4. Neutrosophic t-Norms and De Morgan Neutrosophic Triples
Section 3 proposes that
is a complete lattice,
Section 4 will introduce the notions of neutrosophic t-norms (t-conorms) on
.
Definition 7. A neutrosophic t-norm is a function : that satisfies the following conditions, for all :
- (NT1)
;
- (NT2)
;
- (NT3)
, where , ;
- (NT4)
.
Definition 8. A neutrosophic t-conorm is a function : that satisfies the following conditions, for all :
- (NS1)
;
- (NS2)
;
- (NS3)
, where , ;
- (NS4)
.
Some basic neutrosophic t-norms (t-conorms) on are presented as follows:
Example 3. Some neutrosophic t-norms are defined by, for all :
- (1)
;
- (2)
;
- (3)
;
- (4)
;
- (5)
;
- (6)
;
- (7)
;
- (8)
;
- (9)
.
Example 4. Some neutrosophic t-conorms are defined by, for all :
- (1)
;
- (2)
;
- (3)
;
- (4)
;
- (5)
;
- (6)
;
- (7)
;
- (8)
;
- (9)
.
Furthermore, the representation theorems of neutrosophic t-norms (t-conorms) are proposed as follows:
Theorem 1. Let be a binary operation on . Then, for all ,is a neutrosophic t-norm, where are t-conorms, T is a t-norm on . Proof. (NT1) Let be two t-conorms, T is a t-norm on . Since , , , , for all .
(NT2) , for all .
(NT3) For all with the condition , , we have , , . Therefore, .
(NT4) , for all .
Hence, is a neutrosophic t-norm. □
Theorem 2. Let : be a mapping. Then, for all ,is a neutrosophic t-conorm, where S is a t-conorm, , are t-norms on . Proof. The proof is similar to that of Theorem 1. □
Theorem 1 proposes a way to construct neutrosophic t-norms on with t-norms and t-conorms which are defined on . Unfortunately, the converse is not always true. It is not always possible to find two t-conorms , , a t-norm T on such that .
To distinguish these two kinds of neutrosophic t-norms, we introduce the notions of representable neutrosophic t-norms.
Definition 9. A neutrosophic t-norm is called representable, if and only if, there exist two t-conorms , and a t-norm T on satisfying, for any , Definition 10. A neutrosophic t-norm is called standard representable, if and only if, there exists a t-norm T and a t-conorm S on satisfying, for any , Definition 11. A N-dual representable neutrosophic t-norm defined by, for any ,where T is a t-norm on and S is the N-dual t-conorm of T, that is, . Definition 12. A first N-dual representable neutrosophic t-norm defined by, for any ,where T is a t-norm on and is the N-dual t-conorm of T, is a t-conorm on . Definition 13. A second N-dual representable neutrosophic t-norm defined by, for any ,where T is a t-norm on and is the N-dual t-conorm of T, is a t-conorm on . Notice that the N-dual representable neutrosophic t-norms are not only the standard representable neutrosophic t-norms, but also the first N-dual representable neutrosophic t-norms and the second N-dual representable neutrosophic t-norms. Those neutrosophic t-norms presented in Example 3 are all representable neutrosophic t-norms, and (1)–(5) are N-dual representable neutrosophic t-norms, (8) is a first N-dual representable neutrosophic t-norm, (9) is a second N-dual representable neutrosophic t-norm.
Definition 14. A neutrosophic t-conorm is called representable, if and only if, there exists a t-conorm S and two t-norms , on satisfying, for any , For neutrosophic t-conorms, the rest of the related concepts can be obtained by contrasting with Definitions 10–13 of neutrosophic t-norms above.
The following propositions present a method for constructing new representable neutrosophic t-norms (t-conorms) with intuitionistic fuzzy t-norms (t-conorms).
Proposition 7. Let be a representable intuitionistic fuzzy t-norm: , for all , , where t is a t-norm, is a t-conorm on . Assume that is a t-conorm on , satisfying, . Then is a representable neutrosophic t-norm, for any .
Proposition 8. Let be a representable intuitionistic fuzzy t-conorm: , for all , , where s is a t-conorm, is a t-norm on . Suppose that is a t-norm on , satisfying, . Then is a representable neutrosophic t-conorm, for all .
De Morgan triple is the perfect combination of a fuzzy t-norm, a fuzzy t-conorm and a fuzzy negator because it describes the duality of a fuzzy t-norm and a fuzzy t-conorm with respect to a fuzzy negator. Thus, it is necessary to discuss De Morgan neutrosophic triples. First of all, neutrosophic negators as the extension of fuzzy negators, as well as intuitionistic negators can be defined as follows:
Definition 15. A neutrosophic negator is a function : that satisfies the following conditions:
- (NN1)
, for all such that ;
- (NN2)
;
- (NN3)
.
If , for all , then is called an involutive neutrosophic negator.
The mapping
:
defined by, for all
,
is an involutive neutrosophic negator. Then we call it the standard neutrosophic negator. Of course,
,
are neutrosophic negators.
Definition 16. Let be a neutrosophic t-norm, be a neutrosophic t-conorm, be a neutrosophic negator. The triple satisfied the following conditions, for all ,is called a De Morgan neutrosophic triple. Moreover, and are dual with respect to . Theorem 3. Let be an involutive neutrosophic negator.
- (1)
If is a neutrosophic t-conorm, then the operator defined byis a neutrosophic t-norm. Furthermore, is a De Morgan neutrosophic triple. - (2)
If is a neutrosophic t-norm, then the operator defined byis a neutrosophic t-conorm. Furthermore, is a De Morgan neutrosophic triple.
Proof. (1) Let be an involutive neutrosophic negator, be a neutrosophic t-conorm.
(NT1) For any , , because is commutative. Thus, is commutative.
(NT2) For any , , because is associative and is involutive. Thus, is associative.
(NT3) Let with the condition , . Then , , because is non-increasing. Since is non-decreasing in its every variable, . Thus, , that is, . Hence, is non-decreasing.
(NT4) For any , .
Therefore, is a neutrosophic t-norm.
Furthermore, is a De Morgan neutrosophic triple.
(2) Similarly, assume that is a neutrosophic t-norm, can be proved to be a neutrosophic t-conorm and will be a De Morgan neutrosophic triple. □
Proposition 9. Suppose that is a De Morgan neutrosophic triple, is a standard neutrosophic negator. Then, for all ,
- (1)
if and only if .
- (2)
if and only if .
- (3)
if and only if .
Example 5. Some neutrosophic t-norms and neutrosophic t-conorms are dual with respect to .
- (1)
, .
Indeed, , then . Thus, and are dual with respect to .
- (2)
, .
- (3)
, .
- (4)
, .
- (5)
, .
- (6)
, .
Representable neutrosophic t-norms are mainly analyzed and discussed above. As for non-representable neutrosophic t-norms, we give the following theorem:
Theorem 4. Let : be a mapping. Then, for all ,is a non-representable neutrosophic t-norm. Proof. Firstly, is a neutrosophic t-norm. In fact,
(NT1) Obviously, , for all .
(NT2) If or , we can easily prove that . If and , .
(NT3) .
(NT4) If or , we can easily prove that is non-decreasing in every variable. If and , let with the condition , . Then , , , . Thus, , , . That is, . Therefore, is a neutrosophic t-norm.
Secondly, for a representable neutrosophic t-norm , there exists a t-norm T and two t-conorms on such that, for all , . Let , , . From and , we get and , so . Hence is not independent from , thus is not representable. □
Furthermore, the dual neutrosophic t-conorm of
with respect to the standard neutrosophic negator
is
defined by, for all
,
Then, is not representable.
Remark 1. Let be a non-representable neutrosophic t-norm on , be a neutrosophic t-conorm which is dual to with respect to the standard neutrosophic negator . Then, is not representable. Conversely, the dual neutrosophic t-norm with respect to an involutive neutrosophic negator on of a non-representable neutrosophic t-conorm is not representable.
Example 6. Let : be a mapping. Then, for all ,is a non-representable neutrosophic t-norm. Meanwhile, the dual neutrosophic t-conorm of with respect to is presented by, for all , Then, is not representable, too.
Example 7. Let be a mapping: . Then, for all ,is a non-representable neutrosophic t-conorm. Meanwhile, the dual neutrosophic t-norm of with respect to is presented by, for all , Then, is not representable, too.
5. Neutrosophic Residual Implications of Neutrosophic t-Norms
This section will introduce the notions of neutrosophic residual implications on the complete lattice , investigate basic properties of neutrosophic residual implications, and give some important conclusions between neutrosophic t-norms and neutrosophic residual implications after proving that residual neutrosophic t-norms are ∨-distributive. Firstly, we give the notions of neutrosophic implications on .
Definition 17. A neutrosophic implication is a function : that satisfies the following conditions,
- (NI1)
is non-increasing with respect to in its first variable, that is, , where and ;
- (NI2)
is non-decreasing with respect to in its second variable, that is, , where and ;
- (NI3)
;
- (NI4)
;
- (NI5)
.
Definition 18. A function : is called a neutrosophic residual implication, if there exits a neutrosophic t-norm such that If is a neutrosophic residual implication generated from a neutrosophic t-norm , then it will be denoted by .
Furthermore, a neutrosophic t-norm
satisfies the residual principle if and only if, for all
,
Similarly, we can get the definitions of neutrosophic co-implications:
Definition 19. A neutrosophic co-implication is a function : that satisfies the following conditions:
- (NJ1)
is non-increasing with respect to in its first variable, that is, , where and ;
- (NJ2)
is non-decreasing with respect to in its second variable, that is, , where and ;
- (NJ3)
;
- (NJ4)
;
- (NJ5)
.
Definition 20. A function : is called a neutrosophic residual co-implication, if there exits a neutrosophic t-conorm such that If is a neutrosophic residual co-implication generated from a neutrosophic t-conorm , then it will be denoted by .
Furthermore, a neutrosophic t-conorm
satisfies the residual principle if and only if, for all
,
Using the description of the above definitions, we can easily obtain the neutrosophic residual implications of neutrosophic t-norms discussed in
Section 4.
Example 8. The neutrosophic residual implications of the representable neutrosophic t-norms of Example 3 are given by, for all ,
- (1)
;
- (2)
;
- (3)
;
- (4)
;
- (5)
;
- (6)
;
- (7)
;
- (8)
;
- (9)
.
Example 9. The neutrosophic residual co-implications of the representable neutrosophic t-conorms of Example 4 are given by, for all ,
- (1)
;
- (2)
;
- (3)
;
- (4)
;
- (5)
;
- (6)
;
- (7)
;
- (8)
;
- (9)
.
As we all know, t-conorms are dual operators of t-norms on , in the same way, residual co-implications are dual operators of residual implications on , with respect to . Neutrosophic residual co-implications of neutrosophic t-conorms are dual operators of neutrosophic residual implications of neutrosophic t-norms, just as that neutrosophic t-conorms are dual operators of neutrosophic t-norms with respect to . As Examples 8 and 9 above show, if is the dual neutrosophic t-conorm of a neutrosophic t-norm , then the neutrosophic residual co-implication is the dual operator of the neutrosophic residual implication of .
Next, we will introduce the most important theorem in this section, which gives the sufficient condition that the residual operators induced by neutrosophic t-norms must be neutrosophic implications.
Theorem 5. Let be a neutrosophic t-norm on with the neutral element . Then, for all ,is a neutrosophic implication. Proof. From Definition 18, , for all . Therefore, . Since is non-decreasing, . . Let with the condition . Since the non-decreasingness of , , then . Thus, . That is is non-increasing with respect to in its first variable. Let with the condition . Since the non-decreasingness of , , then . Thus, . That is is non-decreasing with respect to in its second variable. □
For neutrosophic residual implications, there are several important properties as follows:
Theorem 6. Suppose that is a neutrosophic t-norm on with the neutral element , is a neutrosophic residual implication. Then, for all ,
- (1)
;
- (2)
;
- (3)
;
- (4)
;
- (5)
;
- (6)
if and only if ;
- (7)
if and only if ;
- (8)
;
- (9)
.
Proof. For all ,
The proofs of (1)–(4) can be directly obtained by Definition 18.
(5) Since is non-increasing with respect to in its first variable, .
(6) On the one hand, since , . Thus, , that is . On the other hand, if , then . Thus, .
(7) Since , . Thus, . Similarly, it follows from that .
(8) Since , .
(9) . □
Example 10. Example 8 shows some neutrosophic residual implications of representable neutrosophic t-norms, furthermore, it is easy to verify that neutrosophic residual implications of representable neutrosophic t-norms satisfy the properties described in Theorem 6.
For non-representable neutrosophic t-norms, take the neutrosophic t-norm presented in Theorem 4 for example, then, for all ,is a neutrosophic implication and satisfies the properties given in Theorem 6. Similarly, we have the following two important theorems of neutrosophic t-conorm on :
Theorem 7. Assume that is a neutrosophic t-conorm on with the neutral element . Then, for all ,is a neutrosophic co-implication. Proof. From Definition 20, we can prove it using the proven ways of Theorem 5. □
Theorem 8. Assume that is a neutrosophic t-conorm on with the neutral element , is a neutrosophic residual co-implication. Then, for all ,
- (1)
;
- (2)
;
- (3)
;
- (4)
;
- (5)
;
- (6)
if and only if ;
- (7)
if and only if ;
- (8)
;
- (9)
.
Example 11. Example 9 shows some neutrosophic residual co-implications of representable neutrosophic t-conorms; furthermore, it is easy to verify that neutrosophic residual co-implications of representable neutrosophic t-conorms satisfy the properties described in Theorem 8.
For non-representable neutrosophic t-conorms, take the neutrosophic t-conorm presented in Theorem 4 for example, then, for all ,is a neutrosophic co-implication and it satisfies the properties given in Theorem 8. In Definition 18, is called the neutrosophic residual implication. At the same time, is called the residual neutrosophic t-norm. Then, some important properties of the residual neutrosophic t-norm will be discussed below.
Definition 21. [45] A binary operation H on a complete lattice L is called left (right) infinitely ∨-distributive, if for all ,H is called left (right) infinitely ∧-distributive, if for all ,where . H is called infinitely ∨-distributive (∧-distributive) on L, if H is both left and right infinitely ∨-distributive (∧-distributive). Theorem 9. Assume that is a residual neutrosophic t-norm on with the neutral element . Then is infinitely ∨-distributive on .
Proof. Let . If , then , for all . If , since is non-decreasing, , for any . Suppose , then , now we have . By Definition 18, , for all . Thus, . Since is non-decreasing, . Since if and only if , and , . Therefore, . □
Theorem 10. Assume that is a residual neutrosophic t-norm on with the neutral element . Then, for all ,
- (1)
. In particularly, , ;
- (2)
;
- (3)
;
- (4)
;
- (5)
;
- (6)
;
- (7)
;
- (8)
.
Proof. We can directly prove (1)–(6) directly by the method of Theorems 4.3 and 4.6–4.9 in [
46]; The proofs of (7) and (8) can be obtained directly from Theorem 3.5 in [
48]. □
Naturally, we can prove that a residual neutrosophic t-conorm is infinitely ∧-distributive, and then we can get some important properties of a residual neutrosophic t-conorm on .
Theorem 11. Assume that is a residual neutrosophic t-conorm on with the neutral element . Then is infinitely ∧-distributive on .
Theorem 12. Assume that is a residual neutrosophic t-conorm on with the neutral element . Then, for all ,
- (1)
. In particularly, , ;
- (2)
;
- (3)
;
- (4)
;
- (5)
;
- (6)
;
- (7)
;
- (8)
.
Proof. The proofs of (1)–(6) can be obtained directly from Theorems 3.2 and 3.5–3.8 in [
47]; the proofs of (7) and (8) can be obtained directly from Theorem 3.5 in [
48]. □
6. Neutrosophic t-Norms Induced by Neutrosophic Implications on
From Theorem 5, we know that neutrosophic implications can be induced by neutrosophic t-norms. In this section, the dual situation will be considered. Then, residuated lattices can be constructed on the basis of neutrosophic t-norms and their corresponding neutrosophic residual implications.
Definition 22. Let : be a neutrosophic implication. The induced operator by is defined as follows: Remark 2. (1) is a non-empty set, since , for all .
(2) defined above is not always a neutrosophic t-norm. For example, for all ,is a neutrosophic implication. However, is not a neutrosophic t-norm, because . Theorem 13. Let be a neutrosophic implication on . The induced operator by :is a neutrosophic t-norm if satisfies the following conditions, for all : - (1)
if and only if ;
- (2)
;
- (3)
if and only if ;
- (4)
.
Proof. Firstly, we prove that is a neutrosophic t-norm.
(NT1) From (1), we can directly get , for all .
(NT2) From (1) and (2), .
(NT3) Since , .
(NT4) Assume with the condition , . Since is a neutrosophic implication, , for all . For any , it follows that . Since , and , , that is, . Thus, . Hence, , that is, .
Therefore, is a neutrosophic t-norm. □
Theorem 13 describes the conditions that an induced operator by is a neutrosophic t-norm. Moreover, we can construct neutrosophic t-norms with neutrosophic implications according to these conditions.
Next, some important properties of the residual neutrosophic implication on will be discussed.
Theorem 14. Let be a residual neutrosophic implication on . Then , for all , .
Proof. Let . If , then , for any . If , since is non-decreasingness in its second variable, , for all . Suppose , then , now we have . By Definition 22, , for all . Thus, . Since is non-decreasingness in its second variable, . Since if and only if , and , . Therefore, . □
From Theorem 14, we know that a residual neutrosophic implication satisfies infinitively ∧-distributive in its second variable.
Theorem 15. Assume that is a residual neutrosophic implication on . Then, for all ,
- (1)
;
- (2)
.
Proof. Let .
- (1)
.
- (2)
.
□
Summarizing the results in Theorem 5 and 13, we get the following theorem.
Theorem 16. (1) Assume that is a neutrosophic t-norm on . Then and ;
(2) Let be a neutrosophic implication on . Then which satisfies the conditions presented in Theorem 13 is a infinitely ∨-distributive neutrosophic t-norm, and .
Proof. (1) From Theorem 5, is a neutrosophic implication. Next, we prove , for all , . Suppose . If , then , for all . If , then . Finally, from Definitions 18 and 22, we get , for all . Thus, .
(2) From Definition 22 and Theorem 13, is a neutrosophic t-norm. Next, we prove , for all , . Suppose . If , then , for all . If , then . Since satisfies the commutative law, . Hence, is infinitely ∨-distributive. At last, from Definitions 18 and 22, we get , for all . Thus, . □
Section 4 and
Section 5 mainly discuss neutrosophic t-norms and their residual implications, then, we can get a residuated lattice by using these two neutrosophic logic operators as follows:
Theorem 17. Let be a neutrosophic t-norm on . Suppose is a system on . For all , we define: Then, is a residuated lattice.
Proof. Firstly, from Proposition 3, we know that is a bounded lattice.
Then, we prove that is a commutative monoid. (1) For any , , . Thus, . (2) Theorem 16 proves that is a neutrosophic t-norm. Thus, satisfies the commutative law, that is, . (3) Similarly, satisfies the associative law, that is, .
Finally, we prove that ⊗ is a binary operation for which the equivalence
holds for all
. On the one hand, by the definition of ⊗, we have
, then
. Thus,
. On the other hand, from the definition of →, we have
. Thus,
.
Therefore, is a residuated lattice. □
Example 12. Suppose is a system on . For all , we define:where is that presented in Theorem 4, is that presented in Example 10. Then, is a residuated lattice.
Proof. Firstly, from Proposition 3, we know that is a bounded lattice.
Then, we prove that is a commutative monoid. (1) For any , by the definition of ⊗, we get . (2) Obviously, . (3) Suppose . If at least one of them is equal to , then . Otherwise, .
If
,
if and only if
; If
,
if and only if
; If
and
,
if and only if
that is,
.
Therefore, is a residuated lattice. □