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.
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 satisfiesfor all . Example 5. Let be a set with a binary operation ⋇ given by Table 1. Then, it is routine to verify that is a GE-algebra. Let be an intuitionistic fuzzy set in G given by Table 2. 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
Conversely, suppose that
satisfies (
14). Let
be such that
and
Then
,
,
, and
It follows from (
14) that
and
. Hence
and therefore
is an intuitionistic fuzzy GE-algebra of
. □
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 setsare 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. Clearly, and which are GE-subalgebras of . But is not an intuitionistic fuzzy GE-algebra of sinceand/or We explore the conditions under which and are GE-subalgebras of .
Theorem 11. If an intuitionistic fuzzy set in G satisfiesfor all and ∈, then and are GE-subalgebras of . Proof. We first note that the condition (
15) means
for all
and
∈
. Let
. Note that
and
. It follows from (
16) that
and
. If
, then
or
. Hence
or
, that is,
or
. This is a contradiction, and so
∈
. Therefore,
and
are GE-subalgebras of
. □
Theorem 12. If an intuitionistic fuzzy set in G satisfiesfor 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 satisfiesfor 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 satisfiesfor 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. 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 satisfiesfor 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 satisfiesfor all and ∈. Proof. Let
and
∈
be such that
and
Then,
and
If
then
or
. It follows that
or
Hence
or
Therefore,
for some
, or
for some
. It follows that
or
Using (
21) derives to
or
. Thus
,
, or
This is a contradiction, and so
, that is, (
22) is valid. □
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 satisfiesfor 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.