Abstract
The study introduces the concept of intuitionistic fuzzy SBE-subalgebras, ideals, and filters, along with level sets of intuitionistic fuzzy sets within the framework of Sheffer stroke BE-algebras. These concepts are shown to be crucial for understanding the behavior of intuitionistic fuzzy logic in this algebraic structure. The study further establishes a bidirectional relationship between subalgebras, ideals, filters, and their respective level sets on Sheffer stroke BE-algebras, demonstrating that the level set of an intuitionistic fuzzy SBE-subalgebra, ideal, or filter is itself a subalgebra, ideal, or filter on this algebra, and vice versa.
Keywords:
BE-algebra; Sheffer stroke BE-algebra; BE-ideal; intuitionistic fuzzy SBE-subalgebra; intuitionistic fuzzy SBE-ideal MSC:
06F05; 03G25; 03G10
1. Introduction
The Sheffer operation, also known as the Sheffer stroke or NAND operator, was first introduced by H. M. Sheffer [1]. This operation is significant because it alone can be used to construct an entire logical system, allowing any axiom of the system to be restated solely in terms of the Sheffer operation. This unique property facilitates control over certain aspects of the logical system. Notably, even the axioms of Boolean algebra, the algebraic counterpart of classical propositional calculus, can be expressed using only the Sheffer operation, highlighting its fundamental role and versatility in both logical and algebraic systems. The Sheffer stroke has been applied to several algebraic structures, for example, Boolean algebra, BCK-algebra, basic algebras, etc. (see [2,3,4]).
BE-algebras, defined by H. S. Kim and Y. H. Kim [5] as a generalization of BCK-algebras (see [6,7]), have been extensively studied by many researchers [8,9,10,11,12,13,14,15,16]. The theory of intuitionistic fuzzy sets, introduced by K. T. Atanassov [17] as an extension of L. A. Zadeh’s fuzzy set theory [18], has been widely applied to solve problems in various mathematical fields, particularly in algebraic structures. The fuzzification of BE-algebras and their properties has been investigated in [19,20,21,22], while intuitionistic fuzzy BE-algebras have been explored in [23,24,25].
Recently, T. Katican et al. [26] introduced the concept of a Sheffer stroke BE-algebra (SBE-algebra) and identified relationships among SBE-filters, upper sets, and SBE-subalgebras. Additionally, T. Katican [27] investigated obstinate SBE-filters and characterized the branches of a Sheffer stroke BE-algebra using a tile-based approach, describing branchwise commutative and self-distributive properties. Further developments include the work of T. Oner et al. [28], who explored fuzzy Sheffer stroke BE-algebras and defined fuzzy SBE-subalgebras, (weak) fuzzy SBE-filters, Cartesian products of fuzzy subsets, and fuzzy points on Sheffer stroke BE-algebras. N. Chunsee et al. [29] applied fuzzy set theory to SBE-algebras, defining fuzzy and anti-fuzzy SBE-ideals and investigating their properties, especially by characterizing these ideals via level subsets.
In this paper, we introduced and examined the concepts of intuitionistic fuzzy SBE-subalgebras, ideals, filters, and level sets within the framework of Sheffer stroke BE-algebras. We demonstrated the significant interplay among these notions, proving that the level set of an intuitionistic fuzzy SBE-subalgebra, ideal, or filter within this algebraic framework is itself a subalgebra, ideal, or filter, respectively. Moreover, we highlighted the deep interconnections between subalgebras and level sets, revealing their intricate relationships. These findings provide valuable insights into the behavior of intuitionistic fuzzy logic in algebraic contexts, establishing a solid foundation for further exploration of intuitionistic fuzzy systems within Sheffer stroke BE-algebras.
Future research could broaden these findings to encompass other algebraic systems, such as residuated lattices or Brouwerian algebras, extending the applicability of intuitionistic fuzzy logic. Investigating computational aspects of intuitionistic fuzzy SBE-subalgebras, ideals, and filters might also enable practical applications, particularly in decision-making and optimization processes. Additionally, exploring the topological properties of intuitionistic fuzzy level sets could uncover new applications in artificial intelligence and fuzzy logic systems. Advancing these research directions has the potential to significantly enhance the theoretical and practical development of intuitionistic fuzzy logic in solving complex real-world problems.
2. Preliminaries
In this section, we review some fundamental concepts and results related to Sheffer stroke BE-algebras that will be used in the following sections.
Definition 1
([5]). Let be a groupoid. The operation | is called a Sheffer stroke operation if it satisfies the following conditions:
Definition 2
([5]). An algebra of type is called a BE-algebra, if it satisfies the following axioms—for all :
Definition 3
([26]). A Sheffer stroke BE-algebra(briefly, SBE-algebra)is a structure of type , where 1 is a fixed element in L. For all , the following conditions are satisfied:
Proposition 1
([26]). Let be an SBE-algebra. Then, the binary relation if and only if defines a partial order on L.
Definition 4
([26]). A nonempty subset G of a Sheffer stroke BE-algebra L is called an SBE-subalgebra of L if for all .
Definition 5
([26]). A nonempty subset G of a Sheffer stroke BE-algebra L is called an SBE-ideal of L if, for all :
- ;
- and .
Definition 6
([28]). A fuzzy set μ in an SBE-algebra L is called a fuzzy SBE-subalgebra of L if:
Definition 7
([29]). A fuzzy set μ in an SBE-algebra L is called a fuzzy SBE-ideal of L if:
Definition 8
([28]). A fuzzy set μ in an SBE-algebra L is called a fuzzy SBE-filter of L if:
Lemma 1
([26]). Let be an SBE-algebra. Then, the following properties hold:
- ;
- ;
- ;
- ;
- ;
- and ;
- .
Definition 9
([26]). An SBE-algebra L is called:
- Transitive if for all ;
- Commutative if for all ;
- Self-distributive if for all .
Lemma 2
([26]). Let be an SBE-algebra. Then, the following statements hold:
- If , then ;
- ;
- ;
- If S is self-distributive, then implies ;
- If S is self-distributive, then .
Definition 10
([17]). Let H be a nonempty set. The intuitionistic fuzzy set on A is defined to be a structure:
where is the degree of membership of x to A and is the degree of nonmembership of x to A such that .
Lemma 3
([30]). Let . Then, the following statements hold:
- ;
- .
3. Intuitionistic Fuzzy Sets in SBE-Algebras
In this section, we introduce the concept of intuitionistic fuzzy SBE-subalgebras within the framework of Sheffer stroke BE-algebras. This exploration aims to enhance the understanding of how intuitionistic fuzzy logic operates in this specific algebraic context. It is important to clarify that, unless explicitly stated otherwise, L will refer to a Sheffer stroke BE-algebra throughout this discussion.
Definition 11.
An intuitionistic fuzzy set in an SBE-algebra L is called an intuitionistic-valued fuzzy SBE-subalgebra of if it satisfies the following conditions for all :
Example 1.
Given a structure where and a binary operation | with Cayley table as below:
| | | 0 | u | v | 1 | |
| 0 | 1 | 1 | 1 | 1 | |
| | | u | 1 | v | 1 | v |
| v | 1 | 1 | u | u | |
| 1 | 1 | v | u | 0 |
Then, is a SBE-algebra (see [26]). We analyze the relationships between membership and nonmembership functions and ensure that they satisfy the condition , where represents the membership function, and represents the nonmembership function. The chosen values for the membership and nonmembership functions are as follows:
It is routine to verify that the conditions for an intuitionistic fuzzy set to be an intuitionistic-valued fuzzy SBE-subalgebra are satisfied.
Definition 12.
Let be an intuitionistic fuzzy set on an SBE-algebra L, and let . We define the following sets in L:
Theorem 1.
An intuitionistic fuzzy set is an intuitionistic fuzzy SBE-subalgebra of L if and only if, for all , the sets and are either empty or SBE-subalgebras of L.
Proof.
Assume that is an intuitionistic fuzzy SBE-subalgebra of and for all . Let be such that and . Then, , , and . Then, we get and , and so, . Therefore, and are SBE-subalgebras of .
Conversely, let be an intuitionistic fuzzy set in L for which its negative s-cut and positive t-cut are SBE-subalgebras of whenever they are nonempty for all . Suppose that or for some . Then, or where and . However, or , which is a contradiction. Therefore, and for all . Consequently, is an intuitionistic fuzzy SBE-subalgebra of . □
Theorem 2.
An intuitionistic fuzzy set in L is an intuitionistic fuzzy SBE-subalgebra of if and only if the fuzzy sets and α are fuzzy SBE-subalgebras of .
Proof.
Assume that is an intuitionistic fuzzy SBE-subalgebra of . It is clear that is an intuitionistic fuzzy subalgebra of . For every :
Hemce, is an intuitionistic fuzzy SBE-subalgebra of . Conversely, let be an intuitionistic fuzzy set of for which and are fuzzy SBE-subalgebras of . Let . Then:
Hence, is an intuitionistic fuzzy SBE-subalgebra of . □
Theorem 3.
is an intuitionistic fuzzy SBE-subalgebra of L if and only if both and are intuitionistic fuzzy SBE-subalgebras of L.
Proof.
If is an intuitionistic fuzzy SBE-subalgebra of L, then and are fuzzy SBE-subalgebra of L from Theorem 2, and hence, and are intuitionistic fuzzy SBE-subalgebras of L.
Conversely, if and are intuitionistic fuzzy SBE-subalgebras of L, then and are fuzzy SBE-subalgebras of L, and hence, is an intuitionistic fuzzy SBE-subalgebra of L. □
Corollary 1.
Let be the characteristic function of an intuitionistic fuzzy SBE-subalgebra of L. Then, is intutionstic fuzzy SBE-subalgebra of L.
Lemma 4.
Let be an intuitionistic fuzzy SBE-subalgebra of . Then:
Proof.
Let be an intuitionistic fuzzy SBE-subalgebra of . Then:
for all . □
Theorem 4.
An intuitionistic fuzzy SBE-subalgebra of a SBE-algebra L satisfies and for all if and only if α and β are constants.
Proof.
Let be an intuitionistic fuzzy SBE-subalgebra of L satisfying , for all . Since and from Lemma 1 (2), it follows from Lemma 4 that and for all . Hence, and are constants.
Conversely, it is obvious by the fact that and are constants. □
4. Intuitionistic Fuzzy Filters in SBE-Algebras
In this section, we introduce the concept of intuitionistic fuzzy SBE-filters in the context of Sheffer stroke BE-algebras.
Definition 13.
An intuitionistic fuzzy set of L is called an intuitionistic fuzzy SBE-filter of L if it satisfies the following conditions:
Example 2.
To construct an intuitionistic fuzzy SBE-filer in the SBE-algebra with and the given Cayley table in Example 1, we define a fuzzy set with and For each combination of x and y, the conditions in are satisfied, confirming that L is an intuitionistic fuzzy SBE-filter.
Lemma 5.
An intuitionistic fuzzy set in L is an intuitionistic fuzzy SBE-filter of if and only if the following conditions hold:
Proof.
Assume that . Then, . Thus:
and
Since :
Lemma 6.
Let be an intuitionistic fuzzy SBE-filter of L. Then, for all , the following statements hold:
- and ,
- and ,
- and ,
- and.
Proof.
Let be an intuitionistic fuzzy SBE-filter of L. Then:
1. It is proved from Lemma 2 (2) and (8).
2. It follows from (1) that and for all .
3. We get from Lemma 2 (3) and (8).
4. It is obtained from (3) and (SBE-2) that:
for all . □
Theorem 5.
Let be an intuitionistic fuzzy set on L. Then, is an intuitionistic fuzzy SBE-filter of L if and only if:
Proof.
Assume that is an intuitionistic fuzzy SBE-filter of L and . Since , we have . By Equation (8), it follows that:
and
Conversely, let be an intuitionistic fuzzy set on L satisfying condition (10). Since from Lemma 1 (1), it follows that for all . Consequently, we have:
and
Next, since , it follows that . By applying condition (10), we get:
and
for all . Therefore, is indeed an intuitionistic fuzzy SBE-filter of L. □
Definition 14.
An intuitionistic fuzzy set of L is called an implicative intuitionistic fuzzy SBE-filter of L if it satisfies the following conditions:
Lemma 7.
Every implicative intuitionistic fuzzy SBE-filter of L is also an intuitionistic fuzzy SBE-filter of L.
Proof.
Let be an implicative intuitionistic fuzzy SBE-filter of L. Then, and for all . Since:
and
for all , is an intuitionistic fuzzy SBE-filter of L. □
Example 3.
Let with be an SBE-algebra having Cayley table in Example 1. We define intuitionistic fuzzy set of L with the following membership functions:
This shows that L forms an intuitionistic fuzzy SBE-filter but not an implicative intuitionistic fuzzy SBE-filter.
Theorem 6.
Every intuitionistic fuzzy SBE-filter of L is also an intuitionistic fuzzy SBE-subalgebra of L.
Proof.
Let be an intuitionistic fuzzy SBE-filter of L. Since , for all . Then:
and
for all . Thereby, is an intuitionistic fuzzy SBE-subalgebra of L. □
Lemma 8.
Let be an intuitionistic fuzzy SBE-subalgebra of L, satisfying:
Then, is an intuitionistic fuzzy SBE-filter of L.
Proof.
Assume that be an intuitionistic fuzzy SBE-subalgebra of L satisfying the condition (13). By Lemma 4, and for all . Then, it is obtained from Lemma 1 (2) that:
and
for all . Hence, is an intuitionistic fuzzy SBE-filter of L. □
Theorem 7.
Let L be a self-distributive SBE-algebra. Then, every intuitionistic fuzzy SBE-filter of L is an implicative intuitionistic fuzzy SBE-filter of L.
Proof.
and
for all . Thus, is an implicative intuitionistic fuzzy SBE-filter of L. □
Let be an intuitionistic fuzzy SBE-filter of a self-distributive SBE-algebra L. Since is an intuitionistic fuzzy SBE-filter of L, and and for all . Then:
Lemma 9.
Let be an(implicative)intuitionistic fuzzy SBE-filter of L. Then, the following subsets:
and
are(implicative)SBE-filters of L.
Proof.
Let be an intuitionistic fuzzy SBE-filter of L. Then, it is obvious that . Assume that . Since , , and , which imply that and . Then, . Hence, are SBE-filters of S. Let be an implicative intuitionistic fuzzy SBE-filter of L. Suppose that . Since:
and
which imply that , . Thus, . Therefore, are implicative SBE-filters of L. □
Lemma 10.
An intuitionistic fuzzy set is an intuitionistic fuzzy SBE-filter of L if and only if α and are fuzzy SBE-filters of L.
Proof.
Assume that is an intutionstic fuzzy SBE-filter of L. Then, is a fuzzy SBE-filter of L. Consider for every we have, . Also:
Hence, is a fuzzy SBE-filter of L.
Conversely, let us take and are fuzzy SBE-filters of L. Then, obviously, for every , we have , , that is, . Moreover, and:
Hemce, . Thus, is an intutionstic fuzzy SBE-filter of L. □
Theorem 8.
An intuitionistic fuzzy set is an intuitionistic fuzzy SBE-filter of L if and only if and are fuzzy SBE-filters of L.
Proof.
If an intutionstic fuzzy set is an intuitionistic fuzzy SBE-filter of L, then and are intuitionistic fuzzy SBE-filter of L by Lemma 10, and hence, and are intuitionistic fuzzy SBE-filters of L.
Conversely, if and are intuitionistic fuzzy SBE-filters of L, then and are SBE-filters of L, and hence, the intutionstic fuzzy set is an intuitionistic fuzzy SBE-filter of L. □
Theorem 9.
Let A be a nonempty subset of L and let be an intuitionistic fuzzy set defined by:
for all , where such that , , and for .
Then, is an intuitionistic fuzzy SBE-filter of L, and .
Proof.
Assume that is an intuitionistic fuzzy SBE-filter of L. Since and for all , and , and so, . Let such that , we get and , which implies that and . It follows that . Therefore, A is an SBE-filter of L.
Conversely, suppose that A is an SBE-filter of L. Since , for all . Let . If or , then or . It follows that . Also, if or , then or . It follows that . Assume that . Then, and thus and . Hence, is an intuitionistic fuzzy SBE-filter of L. □
Theorem 10.
Let be an intuitionistic fuzzy SBE-filter of L. Then, for every , the subsets and of L are SBE-filters of L.
Proof.
Suppose that be an intuitionistic SBE-filter of L and . Let . Then, . Since is an intuitionistic fuzzy SBE-filter of L, . Hence, . Let . Then, . Since is an intuitionistic fuzzy SBE-filter of L, . Hence, . Let and . Then, and . Since is an intuitionistic fuzzy SBE-filter of L, . Hence, . Let . Then, and . Since is an intuitionistic fuzzy SBE-filter of L, . Hence, . Thus, the sets and are SBE-filters of L for every . □
Corollary 2.
Let be the characteristic function of an intuitionistic fuzzy SBE-filter of L. Then, the intuitionistic fuzzy set is an intuitionistic fuzzy SBE-filter of L.
Theorem 11.
An intuitionistic fuzzy set is an intuitionistic fuzzy SBE-filter of L if and only if, for all , the sets and are either empty or SBE-filters of L.
Proof.
Let be an intutionstic fuzzy SBE-filter of L and let be such that and are nonempty sets of L. It is clear that , since and . Let and . Then, and . Hence, so that . Hence, is an SBE-filter of L. Let and . Then, and . Hence, so that . Hence, is an SBE-filter of L. Assume now that every nonempty set and are SBE-filter in L. If is not true for all , then there exists such that . However, in this case, for . Then, , that is . Since by the assumption, is an SBE-filter of L, then , which is impossible. Hence, . If is not true, then there exists such that . However, in this case, for . Then, , that is . Since by the assumption, is an SBE-filter of L, then , which is impossible. Hence, .
Suppose that is not true for all . Then, there exist such that . Taking . Then, we have , which prove that . Since is an SBE-filter of L, , which is a contradiction. Thus, is true for all . Suppose that is not true for all . Then, there exist such that . Taking . Then, , which proves that . Since is an SBE-filter of L, , which is a contradiction. Thus, is true for all . Hence, is an intutionstic fuzzy SBE-filter of L. □
Theorem 12.
Let be a collection of SBE-filters of L such that , and for all , if and only if . Then, the intuitionistic fuzzy set defined by:
and
for all is an intuitionistic fuzzy SBE-filter of L.
Proof.
According to Theorem 11, it is sufficient to show that the nonempty sets and are SBE-filters of L. In order to prove that is an SBE-filter of L, we divide the proof into the following two cases:
- ;
- .
Case (1) implies that ⇔, ⇔, so that , which is an SBE-filter of L. For case (2), we claim that . If , then for some . It follows that so that . This shows that . Now, assume that . Then, for all . Since , there exists such that . Hence, for all , which means that , then . Thus, , and so, . Therefore, , and thus, , which is an SBE-filter of L.
Next, we prove that is an SBE-filter of L. We consider the following two cases:
- ;
- .
For case (3), we have ⇔, ⇔, and hence, , which is an SBE-filter of L. For case (4), there exists such that . We will show that . If , then for some . It follows that so that . Hence, .
Conversely, if , then for all , which implies that for all , that is, if , then . Thus, , that is, . Therefore, , and consequently, , which is an SBE-filter of L. □
5. Intuitionistic Fuzzy Ideals in SBE-Algebras
In this section, we introduce the concept of intuitionistic fuzzy SBE-ideals within the framework of Sheffer stroke BE-algebras. This study aims to explore how these ideals function in this specific algebraic context, enhancing our understanding of their properties and applications.
Definition 15.
An intuitionistic fuzzy set of L is called an intuitionistic fuzzy SBE-ideal of L if it satisfies the following conditions:
Example 4.
To provide an example of an intuitionistic fuzzy SBE-ideal in the SBE-algebra with and the given Cayley table in Example 1, we define the fuzzy set . Let and From the Cayley table, we compute the values of for each : and .
We check the condition in (14) for all pairs . For instance, let and . Then, and the condition in (14). We repeat this process for all possible pairs .
Let and . We compute . We check and the condition in (15). We repeat this for all combinations of . Therefore, the fuzzy set defined above satisfies both conditions for an intuitionistic fuzzy SBE-ideal in SBE-algebra .
Theorem 13.
Every intuitionistic fuzzy SBE-ideal of L is an intuitionistic fuzzy SBE-subalgebra of L.
Proof.
It follows from (14). □
We concluded that every intuitionistic fuzzy SBE-ideal of L is an intuitionistic fuzzy SBE-subalgebra. However, the converse of this conclusion, that every intuitionistic fuzzy SBE-subalgebra is an intuitionistic fuzzy SBE-ideal, is not always true. We now provide an example to demonstrate this.
Example 5.
Consider an SBE-algebra , where and the Cayley table is given in Example 1. Let be a subset of L, and define the corresponding membership and nonmembership functions as follows:
The set S is an intuitionistic fuzzy SBE-subalgebra of L but not necessarily an an intuitionistic fuzzy SBE-ideal.
Theorem 14.
An intuitionistic fuzzy set in L is an intuitionistic fuzzy SBE-ideal of if and only if the subsets and are SBE-ideals of whenever they are nonempty for all .
Proof.
Let be an intuitionistic fuzzy SBE-ideal of and for all . Let be such that . This shows that and . Then, and . Thus, . Let be such that and . Then: , , and . Then,
and
and so:
Therefore, and are SBE-ideals of .
Conversely, let be an intuitionistic fuzzy set in L for which and are SBE-ideals of whenever they are nonempty for all . Suppose that for some . Then, but , which is a contradiction. Hence, for all . Suppose that for some . Then, but , which is a contradiction. Hence, for all . Suppose that or for some . Then, or where and . However:
or
which are contradictions. Therefore, and for all . Consequently, is an intuitionistic fuzzy SBE-ideal of . □
Theorem 15.
An intuitionistic fuzzy set in L is an intuitionistic fuzzy SBE-ideal of if and only if the fuzzy sets α and are fuzzy SBE-ideals of .
Proof.
Assume that is an intuitionistic fuzzy SBE-ideal of . It is clear that is a fuzzy SBE-ideal of . For every :
Hence, is a fuzzy SBE-ideal of .
Conversely, let be an intuitionistic fuzzy set of for which and are fuzzy SBE-ideals of . Let . Then:
Hence, is an intuitionistic fuzzy SBE-ideal of . □
Theorem 16.
Given a nonempty subset F of L, let be an intuitionistic fuzzy set in L defined as follows:
for all and such that , , and for .
Then, is an intuitionistic fuzzy SBE-ideal of if and only if F is an SBE-ideal of .
Proof.
Assume that is an intuitionistic fuzzy SBE-ideal of . Let be such that . Then, and so and . This shows that . Also:
and
Thus:
and
This shows that . Therefore, F is a SBE-ideal of . Conversely, let F be a SBE-ideal of . For every , if , then , which implies that and . If , then and . For every , if , then which implies that:
and
If or , then and . Therefore, is an intuitionistic fuzzy SBE-ideal of . □
Proposition 2.
If is a family of intuitionistic fuzzy SBE-ideals of L, then is an intuitionistic fuzzy SBE-ideal of L.
Proof.
Let , we have:
and
Hence, is an intuitionistic fuzzy SBE-ideal of a SBE-algebra L. □
Let be a family of intuitionistic fuzzy SBE-ideals of L. Let , we have:
Proposition 3.
If is an intuitionistic fuzzy SBE-ideal of L and , then and .
Proof.
Proposition 4.
Every fuzzy SBE-ideal of L is order-preserving.
Proof.
Let be such that . Then, . From Lemma 1 (2) and Proposition 3, we have and . Hence, is order-preserving. □
Proposition 5.
If is an intuitionistic fuzzy SBE-ideal of L, then:
Proof.
Let . By using (SBE1) and (14), we have and . □
Proposition 6.
Let be an intuitionistic fuzzy set of L, which satisfies:
Then, is order-preserving.
Proof.
Let be such that . Then:
Hence, is order-preserving. □
Theorem 17.
An intuitionistic fuzzy set in a transitive SBE-algebra L is an intuitionistic fuzzy SBE-ideal of L if and only if it satisfies (17).
Proof.
and
Therefore, is an intuitionistic fuzzy SBE-ideal of L. □
Assume that is an intuitionistic fuzzy SBE-ideal of L. By Proposition 5, we have and for all . Since L is transitive, for all . Thus, for all . We consider:
and
for all . Hence, the conditions (17) are true.
Conversely, using (17), (SBE1), and Lemma 1 (2), we have:
and
for all . Since satisfies (17) and by Proposition 6, we have that is order-preserving. Since L is transitive, we see that:
and
for all . Hence, for all , we have:
Corollary 3.
Let be an intuitionistic fuzzy set in a self-distributive SBE-algebra L. Then, is an intuitionistic fuzzy SBE-ideal of L if and only if it satisfies conditions (17).
Proof.
Straightforward. □
Definition 16.
Let be an intuitionistic fuzzy set of L. The intuitionistic fuzzy set defined by: for all , is called the complement of in L.
Theorem 18.
Let be an intuitionistic fuzzy set in L. Then, is an intuitionistic fuzzy SBE-subalgebra of L if and only if for all , and are SBE-subalgebras of L if and are nonempty.
Proof.
Assume that is an intuitionistic fuzzy SBE-subalgebra of L. Let be such that and are nonempty. (i) Let . Then, and , so s is a lower bound of . Since is an intuitionistic fuzzy SBE-subalgebra of L, . By Lemma 3 (1), we have Thus, , and so, . Therefore, is a SBE-subalgebra of L. Let . Then, and , so t is an upper bound of . Since is an intuitionistic fuzzy SBE-subalgebra of L, . By Lemma 3 (2), we have Thus, , and so, . Therefore, is a SBE-subalgebra of L.
Conversely, assume that for all , and are SBE-subalgebras of L if and are nonempty.
(i). Let . Then, . Choose . Thus, and , so . By assumption, we have that is a SBE-subalgebra of L, and so, . Thus . By Lemma 3 (1), we have:
(ii). Let . Then, . Choose . Thus, and , so . By assumption, we have is a SBE-subalgebra of L, and so, . Thus, By Lemma 3 (2), we have:
Hence, is an intuitionistic fuzzy SBE-subalgebra of L. □
Theorem 19.
Let be an intuitionistic fuzzy set in L. Then, is an intuitionistic fuzzy SBE-ideal of L if and only if for all , and are SBE-ideals of L if and are nonempty.
Proof.
Assume that is an intuitionistic fuzzy SBE-ideal of L. Let be such that and are nonempty. Let be such that . Then, . Since is an intuitionistic fuzzy SBE-ideal of L, we have:
Hence, . Next, let be such that . Then, and . Since is an intuitionistic fuzzy SBE-ideal of L, we have:
Hence, . Therefore, is an SBE-ideal of L. Let be such that . Then, . Since is an intuitionistic fuzzy SBE-ideal of L, we have:
Hence, . Next, let be such that . Then, and . Since is an intuitionistic fuzzy SBE-ideal of L, we have:
Hence . Therefore, is an SBE-ideal of L.
Conversely, assume that for all , and are SBE-ideals of L if and are nonempty. Let . Then, . Choose . Thus, , so . By assumption, we have that is an SBE-ideal of L, and so, . Thus, , and so, . Let . Then, . Choose . Thus, and , so . By assumption, we have is an SBE-ideal of L and so . Thus, . By Lemma 3 (1), we have:
Let . Then, . Choose . Thus, , so . By assumption, we have is an SBE-ideal of L and so . Thus, , and so, . Let . Then, . Choose . Thus, and , so . By assumption, we have is an SBE-ideal of L and so . Thus, . By Lemma 3 (1), we have:
Hence, is an intuitionistic fuzzy SBE-ideal of L. □
The proof of the following theorem is similar to the proof of Theorem 19.
Theorem 20.
Let be an intuitionistic fuzzy set in L. Then, is an intuitionistic fuzzy SBE-filter of L if and only if for all , and are SBE-filters of L if and are nonempty.
Definition 17
([26]). Let and be SBE-algebras. Then, a mapping is called a homomorphism if for all and .
Theorem 21.
Let and be SBE-algebras, be a surjective homomorphism and be an intuitionistic fuzzy set on B. Then, is an intuitionistic fuzzy SBE-subalgebra of B if and only if is an intuitionistic fuzzy SBE-subalgebra of L, where on L are defined by for all , respectively.
Proof.
and
and
Hence, is an intuitionistic fuzzy SBE-subalgebra of B. □
Let and be SBE-algebras, be a surjective homomorphism, and be an intuitionistic fuzzy SBE-subalgebra of B. Let . Then:
Hence, is an intuitionistic fuzzy SBE-subalgebra of L.
Conversely, let be an intuitionistic fuzzy SBE-subalgebra of L. Let such that and for . Then:
Theorem 22.
Let and be SBE-algebras, and let be a surjective homomorphism. If is an intuitionistic fuzzy set on B, then is an intuitionistic fuzzy SBE-ideal of B if and only if is an intuitionistic fuzzy SBE-ideal of A.
Proof.
Hence, is an intuitionistic fuzzy SBE-ideal of L.
Hence, is an intuitionistic fuzzy SBE-ideal of B. □
Let and be SBE-algebras, be a surjective homomorphism, and be an intuitionistic fuzzy SBE-ideal of B. Let . Then:
and
Conversely, let be an intuitionistic fuzzy SBE-ideal of L. Let such that and for . Then:
and
The proof of the following theorem is similar to the proof of Theorem 22.
Theorem 23.
Let and be SBE-algebras, and let be a surjective homomorphism. If is an intuitionistic fuzzy set on B, then is an intuitionistic fuzzy SBE-filter of B if and only if is an intuitionistic fuzzy SBE-filter of A.
6. Conclusions and Future Work
In conclusion, the Sheffer stroke operation’s capacity to construct entire logical systems underscores its foundational role across various branches of logic and algebra. Our work extends this versatility into the realm of intuitionistic fuzzy SBE-algebras, establishing a structured relationship between subalgebras, ideals, filters, and level sets within this context. By defining intuitionistic fuzzy SBE-subalgebras and exploring their properties, we have demonstrated that the level set of a fuzzy SBE-subalgebra, ideal, or filter retains its structural identity within Sheffer stroke BE-algebras. This not only highlights the intricate connections between these concepts but also opens new avenues for further research in the interplay between intuitionistic fuzzy logic and algebraic structures. The results here contribute to a deeper understanding of intuitionistic fuzzy logic’s application in Sheffer stroke BE-algebras, reinforcing the Sheffer operation’s relevance in both theoretical and applied algebra.
That said, we recognize the potential applications of our results and are committed to pursuing these directions in future research. Specifically, the structures introduced in this paper could find use in the following areas, which we plan to explore in subsequent studies:
- Decision-making systems: SBE-algebras can model multi-criteria decision-making problems by leveraging intuitionistic preferences, enabling reasoning in scenarios with uncertainty and partial truth.
- Optimization problems: Intuitionistic fuzzy filters could aid in solving optimization problems, such as resource allocation and scheduling, where conflicting criteria are present.
- Artificial intelligence: These structures may enhance reasoning systems in AI, especially in knowledge representation, natural language processing, and adaptive learning models.
- Cryptography and secure systems: The algebraic structure of Sheffer stroke BE-algebras could contribute to designing secure encoding schemes.
- Network analysis: Fuzzy logic principles within these algebras could support the optimization of routing protocols in network systems.
By continuing to explore these potential applications, we aim to bridge the gap between abstract algebraic theory and practical, real-world problems, further enriching the utility of intuitionistic fuzzy logic in various domains.
Author Contributions
Conceptualization, T.O., H.B., N.R. and A.R.; methodology, T.O., H.B., N.R. and A.R.; investigation, T.O., H.B., N.R. and A.R.; writing—original draft preparation, T.O.; writing—review and editing, T.O. and H.B.; funding acquisition, H.B. All authors have read and agreed to the published version of the manuscript.
Funding
The second author acknowledges the financial support of the Slovenian Research and Innovation Agency (research core funding No. P2-0103).
Data Availability Statement
The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.
Conflicts of Interest
The authors declare no conflicts of interest.
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