Abstract
In this paper, we introduce the notion of intuitionistic fuzzy GE-algebra by combining the concepts of GE-algebras and intuitionistic fuzzy sets. We provide a necessary and sufficient condition for an intuitionistic fuzzy set to form an intuitionistic fuzzy GE-algebra. This study examines various properties and characterizations of intuitionistic fuzzy GE-algebra. In particular, we explore the roles of , and sets in determining the subalgebra structures within GE-algebras. Examples illustrate the results, and counterexamples clarify the necessity of the conditions. These results not only enhance the theory of GE-algebras, but also contribute to the algebraic treatment of uncertainty using intuitionistic fuzzy logic.
MSC:
03B05; 03G25; 06F35; 08A72
1. Introduction
The study of algebraic structures under fuzzy environments has attracted substantial interest due to their applications in logic, artificial intelligence, and uncertainty modeling. Among the earliest algebraic structures to be explored in this direction are BCK-algebras, which were originally introduced to formalize implications in logic. The generalization of such structures through fuzzy set theory, and more notably through intuitionistic fuzzy set theory, has led to significant advancements in the field.
Atanassov introduced the concept of intuitionistic fuzzy sets (IFSs) as a generalization of Zadeh’s fuzzy sets [1,2]. Unlike traditional fuzzy sets that assign a single membership degree to each element, IFSs assign both a membership and a non-membership degree, constrained such that their sum does not exceed one. This additional dimension provides a more expressive framework for capturing uncertainty, hesitation, and incomplete information in mathematical models.
The fusion of IFSs with BCK-algebras has led to the emergence of several intuitionistic fuzzy generalizations. These include intuitionistic fuzzy ideals of BCK-algebras [3]. Further generalizations have been carried out for related structures such as BZ-algebras [4] and BE-algebras [5], enriching the study of logical algebras under fuzzy and intuitionistic fuzzy frameworks. Recent progress demonstrates the applicability of intuitionistic fuzzy sets in advanced mathematical models. For example, Shagari et al. [6] established common fixed-point results for intuitionistic fuzzy hybrid contractions in b-metric spaces, illustrating how intuitionistic fuzzy sets play a crucial role in fixed-point theory and its applications.
GE-algebras, a class of non-commutative algebras that generalize implication-based systems like BCK-algebras, have recently been introduced as an extension with applications to more flexible logical operations [7]. GE-algebras satisfy unique axioms different from those of classical implication algebras and provide a more general setting for studying algebraic operations in uncertain environments.
This paper focuses on applying intuitionistic fuzzy set theory to the structure of GE-algebras. We define the notion of an intuitionistic fuzzy GE-algebra and establish various characterizations, including necessary and sufficient conditions. The study explores how , and sets associated with intuitionistic fuzzy points influence the substructure and properties of GE-algebras.
Illustrative examples are used to support the theoretical developments, while counterexamples are provided to demonstrate the importance and necessity of the assumptions. This research bridges the existing gap between the theory of GE-algebras and intuitionistic fuzzy logic, building on prior works in fuzzy topology [8] and Boolean systems [9], and contributes to the broader endeavor of extending logical algebraic systems through advanced fuzzy frameworks.
2. Preliminaries
Definition 1
([7]). A GE-algebra, denoted by , is defined as a non-empty set G with a constant 1 and a binary operation ⋇ satisfying the following axioms:
(GE1) ,
(GE2) ,
(GE3)
for all .
In a GE-algebra , a binary relation is defined by
Proposition 2
([7]). Every GE-algebra satisfies the following items.
Definition 3
([7]). A subset F of a GE-algebra is called a sub-GE-algebra of if for all .
Let G be a set. An intuitionistic fuzzy set in G (see [1]) is an object having the form
which is simply denoted by where and are fuzzy sets in G,
The intuitionistic fuzzy set in G can be represented as follows:
such that .
An intuitionistic fuzzy set in a set G of the form
is said to be an intuitionistic fuzzy point with support and values such that , and is denoted by
Given an intuitionistic fuzzy set and intuitionistic fuzzy point in G, we say
Given and an intuitionistic fuzzy set in G, consider the following sets:
which are called lower ∈-set, upper ∈-set, lower q-set, upper q-set, lower -set, and upper -set of and , respectively.
3. Intuitionistic Fuzzy GE-Algebras
In what follows, let (or simply ) denote a GE-algebra. Also, and are elements of that satisfy and , respectively, for .
First, we introduce a central concept that will be used throughout the paper.
Definition 4.
An intuitionistic fuzzy set in G is called an intuitionistic fuzzy GE-algebra of if it satisfies
for all .
Example 5.
Let be a set with a binary operation ⋇ given by Table 1.
Table 1.
Cayley table for the binary operation ⋇.
Then, it is routine to verify that is a GE-algebra. Let be an intuitionistic fuzzy set in G given by Table 2.
Table 2.
Tabular representation of intuitionistic fuzzy set .
Then, it is routine to verify that is an intuitionistic fuzzy GE-algebra of .
Theorem 6.
An intuitionistic fuzzy set in G is an intuitionistic fuzzy GE-algebra of if and only if it satisfies
Proof.
Assume that is an intuitionistic fuzzy GE-algebra of . Let be such that and . Then and . It follows from (13) that
and so and
Corollary 7.
If is an intuitionistic fuzzy GE-algebra of , then and for all .
Theorem 8.
An intuitionistic fuzzy set in G is an intuitionistic fuzzy GE-algebra of if and only if the nonempty lower ∈-set and the nonempty upper ∈-set of and , respectively, are GE-subalgebras of .
Proof.
Assume that is an intuitionistic fuzzy GE-algebra of . Let . Then, and It follows from Theorem 6 that
Hence, , and, therefore, and are GE-subalgebras of .
Conversely, suppose that the nonempty lower ∈-set and the nonempty upper ∈-set of and , respectively, are GE-subalgebras of . If there exist , such that or
then , and or where and This is a contradiction, and thus and It follows from Theorem 6 that is an intuitionistic fuzzy GE-algebra of . □
Theorem 9.
If is an intuitionistic fuzzy GE-algebra of , then the sets
are GE-subalgebras of .
Proof.
Let . Then, and It follows from (14) that and Hence, , and thus and are GE-subalgebras of . □
The following example shows that the converse of Theorem 9 is generally not true.
Example 10.
Let be a GE-algebra defined in Example 5. Let be an intuitionistic fuzzy set in G given by Table 3.
Table 3.
Tabular representation of intuitionistic fuzzy set .
Clearly, and which are GE-subalgebras of . But is not an intuitionistic fuzzy GE-algebra of since
and/or
We explore the conditions under which and are GE-subalgebras of .
Theorem 11.
If an intuitionistic fuzzy set in G satisfies
for all and ∈, then and are GE-subalgebras of .
Proof.
Theorem 12.
If an intuitionistic fuzzy set in G satisfies
for all and ∈, then and are GE-subalgebras of .
Proof.
Let be such that . Then, and . Hence, , and so by (17). If , then or . Thus, or , a contradiction. Hence, , and therefore, and are GE-subalgebras of . □
We look at the conditions under which an intuitionistic fuzzy set can be an intuitionistic fuzzy GE-algebra.
Theorem 13.
If an intuitionistic fuzzy set in G satisfies
for all with and , then is an intuitionistic fuzzy GE-algebra of .
Proof.
Let and . Then, and . Since for all , it follows from (18) that . Thus ; therefore, is an intuitionistic fuzzy GE-algebra of . □
The following example shows that the converse of Theorem 13 may not be true, that is, there exists an intuitionistic fuzzy GE-algebra of such that (18) does not hold for some with and .
Example 14.
Consider the intuitionistic fuzzy GE-algebra of in Example 5. We can observe that , , and . But
Given an intuitionistic fuzzy set in G, consider the following assertion:
Theorem 15.
An intuitionistic fuzzy set in G satisfies the condition (19) if and only if the nonempty lower ∈-set and the nonempty upper ∈-set of and , respectively, are GE-subalgebras of for all .
Proof.
Assume that satisfies the condition (19). Let for . Then , , and . It follows from (19) that
and Hence, , and thus and are GE-subalgebras of .
Conversely, suppose that the nonempty lower ∈-set and the nonempty upper ∈-set of and , respectively, are GE-subalgebras of for all . If the condition (19) is not valid, then
or for some . Taking and induces and . Since and are GE-subalgebras of , it follows that . On the other hand, since or , we have , which is a contradiction. Therefore, the condition (19) is valid. □
Theorem 16.
If is an intuitionistic fuzzy GE-algebra of , then the nonempty lower q-set and the nonempty upper q-set of and , respectively, are GE-subalgebras of for all .
Proof.
Let for . Then , , and . It follows from Theorem 6 that and Hence, which shows that and are GE-subalgebras of for all when and □
Proposition 17.
Given an intuitionistic fuzzy set in G, if the nonempty lower q-set and the nonempty upper q-set of and , respectively, are GE-subalgebras of , then satisfies
for all and ∈.
Proof.
Let and ∈ be such that and . Then,
which implies from the hypothesis that
Since , we have
and
Hence . □
The following example shows that the converse of Proposition 17 is generally not true, that is, the nonempty lower q-set of or the nonempty upper q-set of may not be a GE-subalgebra of for an intuitionistic fuzzy set in G satisfying (20) for all and .
Example 18.
Consider a GE-algebra given in Example 5, and let be an intuitionistic fuzzy set in G given by Table 4.
Table 4.
Tabular representation of intuitionistic fuzzy set .
Then, satisfies (20) for all and ∈. But , for and , is not a GE-subalgebra of G since and .
Theorem 19.
If an intuitionistic fuzzy set in G satisfies the condition (20) for all and ∈, then the sets and , which are described in Theorem 9 are GE-subalgebras of .
Proof.
Let be such that . Since and , we have by (20). If , then or . Hence, or , which is a contradiction. Therefore, and are GE-subalgebras of . □
Proposition 20.
Given a GE-subalgebra F of , let be an intuitionistic fuzzy set in G such that
- (a)
- and for all ,
- (b)
- and for all ,
then satisfies
for all and ∈.
Proof.
Let and ∈ be such that and . Then and . If , then or . Hence or , and so or which is a contradiction. Also, if , then or . Thus or , which implies that or , a contradiction. Therefore, , which implies from the second condition that . Now we have to consider the following cases:
- (i)
- and .
- (ii)
- and .
- (iii)
- and .
- (iv)
- and .
For the first case, we obtain and . Hence
For the second case, we have and . Thus
Now, if the case (iii) is valid, then and
It follows that
Lastly, if the case (iv) is valid, then and
Hence
This completes the proof. □
Proposition 21.
If an intuitionistic fuzzy set in G satisfies (21) for all and ∈, then it also satisfies
for all and ∈.
Proof.
The combination of Propositions 20 and 21 induces the following corollary.
Corollary 22.
Given a GE-subalgebra F of , if an intuitionistic fuzzy set in G satisfies for and for , then it satisfies the condition (22) for all and ∈.
Theorem 23.
Let be an intuitionistic fuzzy set in G that satisfies and for all . If satisfies (22) for all and ∈, then it is an intuitionistic fuzzy GE-algebra of .
Proof.
Let and ∈. Since ∈ and ∈, we have by (22). It follows that
and
Therefore, we have to deal with the following four cases:
- (i)
- and ,
- (ii)
- and ,
- (iii)
- and ,
- (iv)
- and .
The first case means that and
Since and for all , we know that
and . Hence, all three cases (ii), (iii), and (iv) reach the first case. Using Theorem 6, we conclude that is an intuitionistic fuzzy GE-algebra of . □
Corollary 24.
Let be an intuitionistic fuzzy set in G that satisfies and for all . If satisfies (21) for all and ∈, then it is an intuitionistic fuzzy GE-algebra of .
Proof.
This is straightforward by the combination of Proposition 21 and Theorem 23. □
Theorem 25.
If an intuitionistic fuzzy set in G satisfies
for all and ∈, then the nonempty lower q-set and the nonempty upper q-set of and , respectively, are GE-subalgebras of for all ∈.
Proof.
Let and ∈ be such that and . Then, and Hence, and , which imply from (23) that
It follows that and
We should consider the following cases:
- (i)
- and .
- (ii)
- and .
- (iii)
- and .
- (iv)
- and .
The last case means that and are GE-subalgebras of . If and , then and since ∈. Thus, all three cases (i), (ii), and (iii) reach the last case. This completes the proof. □
Theorem 26.
Given an intuitionistic fuzzy set in G, if the nonempty lower ∈-set and the nonempty upper ∈-set of and , respectively, are GE-subalgebras of for all ∈, then the nonempty lower q-set and the nonempty upper q-set of and , respectively, are GE-subalgebras of for all ∈.
Proof.
Let and ∈ be such that and . Then and It follows from Theorem 15 that and
Hence and , that is, . Therefore, and are GE-subalgebras of for all ∈ when and . □
4. Conclusions
In this work, we successfully defined and explored the structure of intuitionistic fuzzy GE-algebras. We established several characterizations of such algebras, showing how the and sets interact with the algebraic structure. The main results demonstrate that intuitionistic fuzzy GE-algebras preserve the GE-subalgebra structure under specific fuzzy constraints. Additionally, necessary and sufficient conditions have been provided for various generalized substructures. The examples and counterexamples further solidify the theoretical foundations laid out. These investigations may stimulate further research in the study of fuzzy algebraic systems, particularly those involving intuitionistic and type-2 fuzzy extensions of logical algebras. In this paper, we have concentrated only on the algebraic aspects of intuitionistic fuzzy GE-algebras. A natural continuation of this research would be to explore concrete applications of the developed theorems, for instance in uncertainty modeling, knowledge representation, and computational logic systems. We plan to address such applications in future work.
The notion of intuitionistic fuzzy GE-algebras could potentially contribute to fixed-point theory, especially in generalized metric spaces. For example, the fixed point results in intuitionistic fuzzy frameworks developed by Shagari et al. [6] suggest possible extensions of our results to BE-algebraic and GE-algebraic structures. Exploring such connections remains an interesting avenue for further research.
Author Contributions
Conceptualization, A.S.A., R.K.B., S.-Z.S. and Y.B.J.; methodology, A.S.A., R.K.B., S.-Z.S. and Y.B.J.; writing—A.S.A., R.K.B., S.-Z.S. and Y.B.J.; writing—review and editing, A.S.A., R.K.B., S.-Z.S. and Y.B.J.; visualization, A.S.A., R.K.B., S.-Z.S. and Y.B.J.; supervision, A.S.A., R.K.B., S.-Z.S. and Y.B.J.; funding acquisition, A.S.A. All authors have read and agreed to the published version of the manuscript.
Funding
This research is funded by Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia under Researchers Supporting Project Number (PNURSP2025R231).
Data Availability Statement
The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.
Acknowledgments
The authors extend their appreciation to Princess Nourah bint Abdulrahman University for funding this research under Researchers Supporting Project number (PNURSP2025R231), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Conflicts of Interest
The authors have no competing interests to declare that are relevant to the content of this article.
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