Abstract
In this paper, we apply the concept of linear Diophantine fuzzy sets in -algebras. In this respect, the notions of linear Diophantine fuzzy subalgebras and linear Diophantine fuzzy (commutative) ideals are introduced and some vital properties are discussed. Additionally, characterizations of linear Diophantine fuzzy subalgebras and linear Diophantine fuzzy (commutative) ideals are considered. Moreover, the associated results for linear Diophantine fuzzy subalgebras, linear Diophantine fuzzy ideals and linear Diophantine fuzzy commutative ideals are obtained.
Keywords:
BCI-algebra; BCK-algebra; linear Diophantine fuzzy set (LDFS); LDF-subalgebra; LDF-ideal; LDF-commutative ideal MSC:
06F35; 03G25; 08A72
1. Introduction
Fuzzy set theory was launched in 1965 by Zadeh [1] as a generalization of the theory of classical sets. In a classical set, an element is either a member of the set or it is not a member of it, whereas in a fuzzy set, the membership of an element is a real number of the closed unit interval. So, in a fuzzy set, the sum of degree of belongingness of an element with its degree of non-belongingness is equal to one. Soon after their launch, fuzzy sets became an object of extensions by themselves. In 1983, Atanassov [2] generalized fuzzy sets to intuitionistic fuzzy sets (IFS). An IFS has two non-negative functions: the membership function and the non-membership function in a way that the sum of the degree of membership of an element with its degree of non-membership is in the unit real interval. Both fuzzy sets and intuitionistic fuzzy sets have their own restrictions related to the functions of membership and non-membership. To eliminate these restrictions by using reference parameters, Riaz and Hashmi [3] in 2019 found a new extension of fuzzy sets and called it linear Diophantine fuzzy sets (). Using the corresponding reference parameters to the membership and non-membership fuzzy relations, S. Ayub et al. [4] established a robust fusion of s and binary relations and introduced linear Diophantine fuzzy relations.
Imai and Iséki [5,6] introduced -algebras in 1966 as an extension of the principles of set-theoretic difference and propositional calculus. Later, detailed study on the theory of -algebras was published, with specific focus appearing to be placed on the ideal theory of -algebras. For example, Khalid and Ahmad [7] studied h-ideals of BCI-algebras and Muhiuddin et al. [8,9] studied hybrid ideals of -algebras.
In 1971, Rosenfeld [10] studied the first connection between the theories of algebraic structures and fuzzy sets. He introduced the concepts of fuzzy subgroups of a group. Since then, fuzzy algebraic structures have been firmly established as a fruitful area of research. Fuzzification was applied to -algebras. For example, Jun et al. [11,12] investigated soft ideals of -algebras, Al-Masarwah and Ahmad [13,14] discussed multipolar fuzzy ideals of -algebras. Some applications of BCK-algebras can be found, e.g., in [15,16]. For more related details, we refer to [17,18,19,20].
The connection between algebraic structures and linear Diophantine fuzzy sets was launched by Kamaci [21] in 2021. He studied finite linear Diophantine fuzzy substructures of some algebraic structures such as groups, rings, and fields. In 2022, Al-Tahan et al. [22] studied linear Diophantine fuzzy subpolygroups of a polygroup. Inspired by the recent work on linear Diophantine fuzzy substructures (subhyperstructures) and by the previous work related to fuzzy algebraic structures, our paper studies linear Diophantine fuzzy sets in -algebras. The remainder of it is structured as follows. In Section 2, we present basic definitions related to -algebra and to LDFSs. In Section 3, we define linear Diophantine fuzzy subalgebras and linear Diophantine fuzzy ideals in BCK/BCI-algebras, present some examples, and investigate their properties. In Section 4, we define the notion of LDF commutative ideal of BCK-algebras and study some connections between LDF subalgebras, LDF ideals and LDF commutative ideals.
2. Preliminaries
In this section, we present some basic results and examples related to linear Diophantine fuzzy sets [3,4] and to BCK/BCI-algebras [23].
An algebra of type is said to be a BCI-algebra if , the following conditions hold:
- ,
- ,
- ,
- ) and .
If a -algebra satisfies the condition: , , then is a -algebra.
Every -algebra satisfies the following properties:
- ,
- ,
- and ,
- ,
- ,
- ,
- ,
- ,
- ,
where ⇔ . Note that is a partially ordered set.
A subset of is said to be a of if and it is called an of Z if and implies . Furthermore, Z is called commutative ideal of if and , and implies .
Zadeh [1], in 1965, introduced the fuzzy set as an extension of the crisp set. In 1983, Atanassov [2] extended fuzzy set to intuitionistic fuzzy set. Recently, Riaz and Hashmi [3] introduced linear Diophantine fuzzy set () as a new extension of fuzzy set. Due to the use of reference parameters in , the proposed model of has more efficiency and flexibility in comparison to other generalizations of the fuzzy set.
Definition 1
([1]). Let E be a universal set, , and be a membership function. Then is a fuzzy set.
Definition 2
([2]). Let E be a universal set, , and be the membership and non-membership functions, respectively. Then is an intuitionistic fuzzy set. Here, for all .
Definition 3
([3]). Let E be a universal set, , are degrees of membership and non-membership respectively, and are reference parameters. The degrees satisfy and for all . Then a linear Diophantine fuzzy set () on E is described as follows.
Example 1.
Let be a universal set and define on as follows: , , , and . Then is an on .
Remark 1.
A fuzzy set A on a universal set E with a membership function μ is a special case of linear Diophantine fuzzy set. This is easily seen as
is an on E.
Definition 4
([3]). Let E be a universal set and be s on E. Then
- (1)
- The intersection of and is defined as
- (2)
- The union of and is defined as
- (3)
- is subset of , denoted by , if for all . i.e., , , , and for all ,
- (4)
- if and ,
- (5)
- The complement of is defined as
Here, “∨” and “∧” represent the maximum and minimum respectively.
Example 2.
Let be a universal set and define the s on respectively as follows:
Then the on is defined as follows:
and .
3. Linear Diophantine Fuzzy Ideals
In this section, linear Diophantine fuzzy subalgebras and linear Diophantine fuzzy ideals in BCK/BCI-algebras are described and characterized.
Definition 5.
A of is called a LDF subalgebra (briefly, LDFSub) if :
- (L1)
- (L2)
- ,
- (L3)
- (L4)
Example 3.
Consider a -algebra defined by Table 1:
Table 1.
Cayley’s table for ∗-operation.
Now define a LDFS on as:
It is straightforward to show that is a LDFSub of .
Lemma 1.
If is a LDFSub of , then
Proof.
Let . Then we have
and
Therefore, . □
Definition 6.
A LDFS of is called a LDF ideal () if , the following conditions hold.
- (L5)
- and ,
- (L6)
- (L7)
Example 4.
Consider a -algebra defined by Table 2:
Table 2.
Cayley’s table for ∗-operation.
Now define a LDFS on as:
It is easy to show that is a LDFI of .
Lemma 2.
Let be a LDFI of and such that . Then
Proof.
Let such that . Then we have
and
Therefore, □
Lemma 3.
Let be a LDFI of and such that . Then
Proof.
Let such that . Then we have
and
Therefore, □
Theorem 1.
Every LDFI of BCK-algebra is a LDFSub of .
Proof.
Let be any LDFI of and . Since , it follows that in . Lemma 2 asserts that and . Thus, we have
and
Therefore, is a LDFSub of . □
Remark 2.
The converse of Theorem 1 is not true in general. See Example 5.
Example 5.
Consider a -algebra with Table 3:
Table 3.
Cayley’s table for ∗-operation.
Now define a LDFS on as:
It is easy to verify that is a LDFSub of but it is not a LDFI of because .
Theorem 2.
Let be a LDFSub of . Then is a LDFI ⇔ such that implies and .
Proof.
(⇒) Follows from Lemma 3.
(⇐) Let be a LDFSub of such that , implies and . As , so by hypothesis Moreover, Lemma 1 asserts that ∀. Therefore, is a LDFI of . □
4. Linear Diophantine Fuzzy Commutative Ideals
In this section, we define the notion of LDF commutative ideal of BCK-algebras. Moreover, we study some connections between LDF subalgebras, LDF ideals, and LDF commutative ideals.
In this section, will stand for a BCK-algebra unless it is otherwise specified.
Definition 7.
A LDFS is called a LDF commutative ideal LDFCI if it satisfies and the following conditions :
- (L8)
- and ,
- (L9)
- and
Example 6.
Consider a -algebra of Example 3. Now define a LDFS on as:
Some computations show that is a LDFCI of .
Theorem 3.
Every LDFCI of BCK-algebra is a LDFI of .
Proof.
Let be any LDFCI of and . Having a -algebra implies that and hence, . Then we obtain
and
Therefore, is a LDFI of . □
Corollary 1.
Every LDFCI of is a LDFSub of .
Proof.
The proof follows from Theorems 1 and 3. □
Remark 3.
In general, the converse of Theorem 3 does not hold. See Example 7.
Example 7.
Consider a -algebra defined by Table 4:
Table 4.
Cayley’s table for ∗-opertaion.
Now define a LDFS on as:
It is easy to verify that is a LDFI of but it is not a LDFCI of because .
Theorem 4.
Let be a LDFI of . Then is a LDFCI ⇔,
Proof.
(⇒) Let be a LDFCI of . Then , we have , , and Taking , so
and
(⇐) Let be a LDFI such that , . By assumption, we have
and
Therefore, is a LDFCI of . □
Theorem 5.
Every LDFI of a commutative BCK-algebra is a LDFCI.
Proof.
Let be a LDFS of . Then , we have
It follows that . As is a LDFI of , so by Lemma 3, and . Hence, is a LDFCI of . □
5. Conclusions
Linear Diophantine fuzzification of algebraic structures is a new field that generalizes fuzzy algebraic structures. In our paper, we applied linear Diophantine fuzzifications in -algebras. We introduced the notions , and of a -algebra. Moreover, we discussed some of their properties and investigated some relationships among them. Our main results are presented in Section 3 and Section 4. Since every fuzzy set can be viewed as a LDFS, it follows that our results of LDF-substructures of BCK/BCI-algebras are generalizations of fuzzy substructures of BCK/BCI-algebras.
For future work, we raise the following problems.
- Introduce LDF-level subalgebras/ideals/commutative ideals of BCK-algebra and investigate the relationship between them and subalgebras/ideals/commutative ideals of BCK algebra.
- Define LDF substructures of other types of algebras.
Author Contributions
Conceptualization, methodology, G.M., M.A.-T., A.M., S.H.-M. and S.A.-K.; writing—original draft preparation, A.M. and M.A.-T.; writing—review and editing, G.M., M.A.-T., A.M., S.H.-M. and S.A.-K.; funding acquisition, S.H.-M. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by the grant VAROPS (DZRO FVT 3) granted by the Ministry of Defence of the Czech Republic. The APC was funded by the Ministry of Defence of the Czech Republic—grant VAROPS (DZRO FVT 3).
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.
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