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Article

Linear Diophantine Fuzzy Set Theory Applied to BCK/BCI-Algebras

by
Ghulam Muhiuddin
1,
Madeline Al-Tahan
2,
Ahsan Mahboob
3,
Sarka Hoskova-Mayerova
4,* and
Saba Al-Kaseasbeh
5
1
Department of Mathematics, Faculty of Science, University of Tabuk, P.O. Box 741, Tabuk 71491, Saudi Arabia
2
Department of Mathematics and Statistics, Abu Dhabi University, Abu Dhabi P.O. Box 15551, United Arab Emirates
3
Department of Mathematics, Madanapalle Institute of Technology & Science, Madanapalle 517325, India
4
Department of Mathematics and Physics, University of Defence in Brno, Kounicova 65, 662 10 Brno, Czech Republic
5
Department of Mathematics, Tafila Technical University, Tafila 66110, Jordan
*
Author to whom correspondence should be addressed.
Mathematics 2022, 10(12), 2138; https://doi.org/10.3390/math10122138
Submission received: 6 June 2022 / Revised: 15 June 2022 / Accepted: 17 June 2022 / Published: 19 June 2022
(This article belongs to the Special Issue Fuzzy and Extension of Fuzzy Theories)

Abstract

:
In this paper, we apply the concept of linear Diophantine fuzzy sets in B C K / B C I -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.

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 ( L D F S ). Using the corresponding reference parameters to the membership and non-membership fuzzy relations, S. Ayub et al. [4] established a robust fusion of L D F S s and binary relations and introduced linear Diophantine fuzzy relations.
Imai and Iséki [5,6] introduced B C K / B C I -algebras in 1966 as an extension of the principles of set-theoretic difference and propositional calculus. Later, detailed study on the theory of B C K / B C I -algebras was published, with specific focus appearing to be placed on the ideal theory of B C K / B C I -algebras. For example, Khalid and Ahmad [7] studied h-ideals of BCI-algebras and Muhiuddin et al. [8,9] studied hybrid ideals of B C K / B C I -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 B C K / B C I -algebras. For example, Jun et al. [11,12] investigated soft ideals of B C K / B C I -algebras, Al-Masarwah and Ahmad [13,14] discussed multipolar fuzzy ideals of B C K / B C I -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 B C K / B C I -algebras. The remainder of it is structured as follows. In Section 2, we present basic definitions related to B C K / B C I -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 ( A ; , 0 ) of type ( 2 , 0 ) is said to be a BCI-algebra if ϑ , ϱ , A , the following conditions hold:
  • ( K 1 )   ( ( ϑ ) ( ϑ ϱ ) ) ( ϱ ) = 0 ,
  • ( K 2 )   ( ϑ ( ϑ ) ) = 0 ,
  • ( K 3 )   ϑ ϑ = 0 ,
  • ( K 4 ) ϑ = 0 and ϑ = 0 ϑ = .
If a B C I -algebra A satisfies the condition: ( K 5 )   0 ϑ = 0 , ϑ A , then A is a B C K -algebra.
Every B C K / B C I -algebra A satisfies the following properties:
  • ( π 1 ) ϑ 0 = ϑ ,
  • ( π 2 ) ( ϑ ) ϱ = ( ϑ ϱ ) ,
  • ( π 3 ) ϑ ϑ ϱ ϱ and ϱ ϱ ϑ ,
  • ( π 4 ) 0 ( ϑ ) = ( 0 ϑ ) ( 0 ) ,
  • ( π 5 ) 0 ( 0 ( ϑ ) ) = 0 ( ϑ ) ,
  • ( π 6 ) ( ϑ ϱ ) ( ϱ ) ( ϑ ) ,
  • ( π 7 ) ϑ ( ϑ ( ϑ ) ) = ϑ ,
  • ( π 8 ) 0 ( 0 ( ( ϑ ϱ ) ( ϱ ) ) ) = ( 0 ) ( 0 ϑ ) ,
  • ( π 9 ) 0 ( 0 ( ϑ ) = ( 0 ) ( 0 ϑ ) ,
where ϑ ϑ = 0   ϑ , ϱ , A . Note that ( A , ) is a partially ordered set.
A subset Z ( ) of A is said to be a s u b a l g e b r a of A if ϑ Z   ϑ , A and it is called an i d e a l of Z if 0 Z and ϑ , ϱ A , ϑ ϱ Z , ϱ Z implies ϑ Z . Furthermore, Z is called commutative ideal of A if 0 Z and ϑ , ϱ , ω Z , ( ϑ ω ) ϱ Z and ϱ Z implies ϑ ( ω ( ω ϑ ) ) Z .
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 ( L D F S ) as a new extension of fuzzy set. Due to the use of reference parameters in L D F S , the proposed model of L D F S has more efficiency and flexibility in comparison to other generalizations of the fuzzy set.
Definition 1
([1]). Let E be a universal set, I = [ 0 , 1 ] , and μ : E I be a membership function. Then A = { ( x , μ ( x ) ) : x E } is a fuzzy set.
Definition 2
([2]). Let E be a universal set, I = [ 0 , 1 ] , and μ , v : E I be the membership and non-membership functions, respectively. Then A = { ( x , μ ( x ) , v ( x ) ) : x E } is an intuitionistic fuzzy set. Here, μ ( x ) + v ( x ) I for all x E .
Definition 3
([3]). Let E be a universal set, I = [ 0 , 1 ] , U L ( x ) , V L ( x ) I are degrees of membership and non-membership respectively, and α L ( x ) , β L ( x ) I are reference parameters. The degrees satisfy α L ( x ) + β L ( x ) I and α L ( x ) U L ( x ) + β L ( x ) V L ( x ) I for all x E . Then a linear Diophantine fuzzy set ( L D F S ) L D on E is described as follows.
L D = { ( x , U L ( x ) , V L ( x ) , α L ( x ) , β L ( x ) ) : x E } .
Example 1.
Let E 1 = { w 1 , w 2 , w 3 , w 4 } be a universal set and define L D on E 1 as follows: L D ( w 1 ) = ( 0.9 , 0.3 , 0.25 , 0.45 ) , L D ( w 2 ) = ( 0.452 , 0.99 , 0.234 , 0.009 ) , L D ( w 3 ) = ( 0.678 , 0.124 , 0.21 , 0.35 ) , and L D ( w 4 ) = ( 0.36 , 0.251 , 0.43 , 0.57 ) . Then L D is an L D F S on E 1 .
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
A = { ( x , μ ( x ) , 0 , 1 , 0 ) : x E }
is an L D F S on E.
Definition 4
([3]). Let E be a universal set and L D 1 , L D 2 be L D F S s on E. Then
(1) 
The intersection L D 1 L D 2 of L D 1 and L D 2 is defined as
{ ( x , U L 1 ( x ) U L 2 ( x ) , U L 1 ( x ) U L 2 ( x ) , α 1 L ( x ) α 2 L ( x ) , β 1 L ( x ) β 2 L ( x ) ) : x E } ,
(2) 
The union L D 1 L D 2 of L D 1 and L D 2 is defined as
{ ( x , U L 1 ( x ) U L 2 ( x ) , V L 1 ( x ) V L 2 ( x ) , α 1 L ( x ) α 2 L ( x ) , β 1 L ( x ) β 2 L ( x ) ) : x E } ,
(3) 
L D 1 is subset of L D 2 , denoted by L D 1 L D 2 , if L D 1 ( x ) L D 2 ( x ) for all x E . i.e., U L 1 ( x ) U L 2 ( x ) , V L 1 ( x ) V L 2 ( x ) , α 1 L ( x ) α 2 L ( x ) , and β 1 L ( x ) β 2 L ( x ) for all x E ,
(4) 
L D 1 = L D 2 if L D 1 L D 2 and L D 2 L D 1 ,
(5) 
The complement L D 1 c of L D 1 is defined as
L D 1 c = { ( x , V L 1 ( x ) , U L 1 ( x ) , β 1 L ( x ) , α 1 L ( x ) ) : x E } .
Here, “∨” and “∧” represent the maximum and minimum respectively.
Example 2.
Let E 2 = { w 5 , w 6 } be a universal set and define the L D F S s L D , L D on E 2 respectively as follows:
L D = { ( w 5 , 0.3 , 0.1 , 0.5 , 0.4 ) , ( w 6 , 0.4 , 0.1 , 0.3 , 0.6 ) } ,
L D = { ( w 5 , 0.2 , 0.04 , 0.4 , 0.6 ) , ( w 6 , 0.3 , 0.2 , 0.4 , 0.4 ) } .
Then the L D F S   L D = L D L D on E 2 is defined as follows:
L D ( w 5 ) = ( 0.2 , 0.1 , 0.4 , 0.6 ) and L D ( w 6 ) = ( 0.3 , 0.2 , 0.3 , 0.6 ) .

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 L D F S   L D = ( U L , V L , α L , β L ) of A is called a LDF subalgebra (briefly, LDFSub) if ϑ , ϱ A :
(L1) 
U L ( ϑ ϱ ) U L ( ϑ ) U L ( ϱ ) ,
(L2) 
V L ( ϑ ϱ ) V L ( ϑ ) V L ( ϱ ) ,
(L3) 
α L ( ϑ ϱ ) α L ( ϑ ) α L ( ϱ ) ,
(L4) 
β L ( ϑ ϱ ) β L ( ϑ ) β L ( ϱ ) .
Example 3.
Consider a B C K -algebra A = { 0 , ϑ , ϱ , } defined by Table 1:
Now define a LDFS L D = ( U L , V L , α L , β L ) on A as:
L D ( x ) = ( 0.7 , 0 , 0.8 , 0 ) i f   x = 0 , ( 0.5 , 0 , 0.6 , 0 ) i f   x = ϑ , ( 0 , 0.1 , 0 , 0.1 ) i f   x = ϱ o r x = .
It is straightforward to show that L D = ( U L , V L , α L , β L ) is a LDFSub of A .
Lemma 1.
If L D = ( U L , V L , α L , β L ) is a LDFSub of A , then
L D ( 0 ) L D ( ϑ ) , ϑ A .
Proof. 
Let ϑ A . Then we have
U L ( 0 ) = U L ( ϑ ϑ ) U L ( ϑ ) U L ( ϑ ) = U L ( ϑ ) ,
V L ( 0 ) = V L ( ϑ ϑ ) V L ( ϑ ) V L ( ϑ ) = V L ( ϑ ) ,
α L ( 0 ) = α L ( ϑ ϑ ) α L ( ϑ ) α L ( ϑ ) = α L ( ϑ ) ,
and
β L ( 0 ) = β L ( ϑ ϑ ) β L ( ϑ ) β L ( ϑ ) = β L ( ϑ ) .
Therefore, L D ( 0 ) L D ( ϑ ) . □
Definition 6.
A LDFS L D = ( U L , V L , α L , β L ) of A is called a LDF ideal ( L D F I ) if ϑ , ϱ A , the following conditions hold.
(L5) 
U L ( 0 ) U L ( ϑ ) , V L ( 0 ) V L ( ϑ ) , α L ( 0 ) α L ( ϑ ) and β L ( 0 ) β L ( ϑ ) ,
(L6) 
U L ( ϑ ) U L ( ϑ ϱ ) U L ( ϱ ) a n d V L ( ϑ ϱ ) V L ( ϑ ) V L ( ϱ ) ,
(L7) 
α L ( ϑ ) α L ( ϑ ϱ ) α L ( ϱ ) a n d β L ( ϑ ϱ ) β L ( ϑ ) β L ( ϱ ) .
Example 4.
Consider a B C I -algebra A = { 0 , ϑ , ϱ , } defined by Table 2:
Now define a LDFS L D = ( U L , V L , α L , β L ) on A as:
L D ( x ) = ( 0.6 , 0.3 , 0.7 , 0.1 ) i f   x = 0 , ( 0.5 , 0.3 , 0.6 , 0.2 ) i f   x = 1 , ( 0.2 , 0.3 , 0.4 , 0.3 ) i f   x = ϑ , ( 0.3 , 0.6 , 0.4 , 0.4 ) i f   x = ϱ , ( 0.2 , 0.6 , 0.4 , 0.4 ) i f   x = .
It is easy to show that L D = ( U L , V L , α L , β L ) is a LDFI of A .
Lemma 2.
Let L D = ( U L , V L , α L , β L ) be a LDFI of A and ϑ , ϱ A such that ϑ ϱ . Then
L D ( ϑ ) L D ( ϱ ) .
Proof. 
Let ϑ , ϱ A such that ϑ ϱ . Then we have
U L ( ϑ ) U L ( ϑ ϱ ) U L ( ϱ ) = U L ( 0 ) U L ( ϱ ) = U L ( ϱ ) ,
V L ( ϑ ) V L ( ϑ ϱ ) V L ( ϱ ) = V L ( 0 ) V L ( ϱ ) = V L ( ϱ ) ,
α L ( ϑ ) α L ( ϑ ϱ ) α L ( ϱ ) = α L ( 0 ) α L ( ϱ ) = α L ( ϱ ) ,
and
β L ( ϑ ) β L ( ϑ ϱ ) β L ( ϱ ) = β L ( 0 ) β L ( ϱ ) = β L ( ϱ ) .
Therefore, L D ( ϑ ) L D ( ϱ ) .  □
Lemma 3.
Let L D = ( U L , V L , α L , β L ) be a LDFI of A and ϑ , ϱ , A such that ϑ ϱ . Then
L D ( ϑ ) L D ( ϱ ) L D ( ) .
Proof. 
Let ϑ , ϱ , A such that ϑ ϱ . Then we have
U L ( ϑ ) U L ( ϑ ϱ ) U L ( ϱ ) U L ( ( ϑ ϱ ) ) U L ( ) U L ( ϱ ) = U L ( 0 ) U L ( ) U L ( ϱ ) = U L ( ) U L ( ϱ ) ,
V L ( ϑ ) V L ( ϑ ϱ ) V L ( ϱ ) { V L ( ( ϑ ϱ ) ) V L ( ) } V L ( ϱ ) = V L ( ( ϑ ϱ ) ) V L ( ) V L ( ϱ ) = V L ( 0 ) V L ( ) V L ( ϱ ) = V L ( ) V L ( ϱ ) ,
α L ( ϑ ) α L ( ϑ ϱ ) α L ( ϱ ) α L ( ( ϑ ϱ ) ) α L ( ) α L ( ϱ ) = α L ( ( ϑ ϱ ) ) α L ( ) α L ( ϱ ) = α L ( 0 ) α L ( ) α L ( ϱ ) = α L ( ) α L ( ϱ )
and
β L ( ϑ ) β L ( ϑ ϱ ) β L ( ϱ ) { β L ( ( ϑ ϱ ) ) β L ( ) } β L ( ϱ ) = β L ( ( ϑ ϱ ) ) β L ( ) β L ( ϱ ) = β L ( 0 ) β L ( ) β L ( ϱ ) = β L ( ) β L ( ϱ ) .
Therefore, L D ( ϑ ) L D ( ϱ ) L D ( ) .  □
Theorem 1.
Every LDFI of BCK-algebra A is a LDFSub of A .
Proof. 
Let L D = ( U L , V L , α L , β L ) be any LDFI of A and ϑ , ϱ A . Since ( ϑ ϱ ) ϑ = ( ϑ ϑ ) ϱ = 0 ϱ = 0 , it follows that ϑ ϱ ϑ in A . Lemma 2 asserts that U L ( ϑ ) U L ( ϑ ϱ ) , V L ( ϑ ) V L ( ϑ ϱ ) , α L ( ϑ ) α L ( ϑ ϱ ) and β L ( ϑ ) β L ( ϑ ϱ ) . Thus, we have
U L ( ϑ ϱ ) U L ( ϑ ) U L ( ϑ ϱ ) U L ( ϱ ) U L ( ϑ ) U L ( ϱ ) ,
V L ( ϑ ϱ ) V L ( ϑ ) V L ( ϑ ϱ ) V L ( ϱ ) V L ( ϑ ) V L ( ϱ ) ,
α L ( ϑ ϱ ) α L ( ϑ ) α L ( ϑ ϱ ) α L ( ϱ ) α L ( ϑ ) α L ( ϱ )
and
β L ( ϑ ϱ ) β L ( ϑ ) β L ( ϑ ϱ ) β L ( ϱ ) β L ( ϑ ) β L ( ϱ ) .
Therefore, L D = ( U L , V L , α L , β L ) is a LDFSub of A . □
Remark 2.
The converse of Theorem 1 is not true in general. See Example 5.
Example 5.
Consider a B C K -algebra A = { 0 , ϑ , ϱ , } with Table 3:
Now define a LDFS L D = ( U L , V L , α L , β L ) on A as:
L D ( x ) = ( 0.7 , 0.3 , 0.8 , 0.1 ) i f   x = 0 , ( 0.5 , 0.3 , 0.6 , 0.2 ) i f   x = ϑ , ( 0.3 , 0.3 , 0.4 , 0.3 ) i f   x = ϱ , ( 0.6 , 0.6 , 0.7 , 0.4 ) i f   x = .
It is easy to verify that L D = ( U L , V L , α L , β L ) is a LDFSub of A but it is not a LDFI of A because 0.5 = U L ( ϑ ) U L ( ϑ ) U L ( ) = 0.6 .
Theorem 2.
Let L D = ( U L , V L , α L , β L ) be a LDFSub of A . Then L D = ( U L , V L ,   α L , β L ) is a LDFI ⇔ ϑ , ϱ , A such that ϑ ϱ implies U L ( ϑ ) U L ( ϱ ) U L ( ) , V L ( ϑ ) V L ( ϱ ) V L ( ) , α L ( ϑ ) α L ( ϱ ) α L ( ) and β L ( ϑ ) β L ( ϱ ) β L ( ) .
Proof. 
(⇒) Follows from Lemma 3.
(⇐) Let L D = ( U L , V L , α L , β L ) be a LDFSub of A such that ϑ , ϱ , A , ϑ ϱ implies U L ( ϑ ) U L ( ϱ ) U L ( ) , V L ( ϑ ) V L ( ϱ ) V L ( ) , α L ( ϑ ) α L ( ϱ ) α L ( ) and β L ( ϑ ) β L ( ϱ ) β L ( ) . As ϑ ( ϑ ϱ ) ϱ , so by hypothesis U L ( ϑ ) U L ( ϑ ϱ ) U L ( ϱ ) , V L ( ϑ ) V L ( ϑ ϱ ) V L ( ϱ ) , α L ( ϑ ) α L ( ϑ ϱ ) α L ( ϱ ) a n d β L ( ϑ ) β L ( ϑ ϱ ) β L ( ϱ ) . Moreover, Lemma 1 asserts that L D ( 0 ) L D ( ϑ ) ϑ A . Therefore, L D = ( U L , V L , α L , β L ) is a LDFI of A . □

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, A will stand for a BCK-algebra unless it is otherwise specified.
Definition 7.
A LDFS L D = ( U L , V L , α L , β L ) is called a LDF commutative ideal LDFCI if it satisfies ( L 5 ) and the following conditions ϑ , ϱ , A :
(L8) 
U L ( ϑ ( ϱ ( ϱ ϑ ) ) ) U L ( ( ϑ ϱ ) ) U L ( ) and V L ( ϑ ( ϱ ( ϱ ϑ ) ) ) V L ( ( ϑ ϱ ) ) V L ( ) ,
(L9) 
α L ( ϑ ( ϱ ( ϱ ϑ ) ) ) α L ( ( ϑ ϱ ) ) α L ( ) , and β L ( ϑ ( ϱ ( ϱ ϑ ) ) ) β L ( ( ϑ ϱ ) ) β L ( ) .
Example 6.
Consider a B C K -algebra A of Example 3. Now define a LDFS L D = ( U L , V L ,   α L , β L ) on A as:
L D ( x ) = ( 0.6 , 0.3 , 0.5 , 0.1 ) i f   x = 0 , ( 0.5 , 0.3 , 0.4 , 0.2 ) i f   x = ϑ , ( 0.4 , 0.3 , 0.3 , 0.3 ) i f   x = ϱ , ( 0.4 , 0.6 , 0.3 , 0.4 ) i f   x = .
Some computations show that L D is a LDFCI of A .
Theorem 3.
Every LDFCI of BCK-algebra A is a LDFI of A .
Proof. 
Let L D = ( U L , V L , α L , β L ) be any LDFCI of A and ϑ , ϱ , A . Having A a B C K -algebra implies that 0 = 0 and hence, ϑ = ϑ ( 0 ( 0 ϑ ) ) . Then we obtain
U L ( ϑ ) = U L ( ϑ ( 0 ( 0 ϑ ) ) ) U L ( ( ϑ 0 ) ϱ ) U L ( ϱ ) = U L ( ϑ ϱ ) U L ( ϱ ) ,
V L ( ϑ ) = V L ( ϑ ( 0 ( 0 ϑ ) ) ) V L ( ( ϑ 0 ) ϱ ) V L ( ϱ ) = V L ( ϑ ϱ ) V L ( ϱ ) ,
α L ( ϑ ) = α L ( ϑ ( 0 ( 0 ϑ ) ) ) α L ( ( ϑ 0 ) ϱ ) α L ( ϱ ) = α L ( ϑ ϱ ) α L ( ϱ )
and
β L ( ϑ ) = β L ( ϑ ( 0 ( 0 ϑ ) ) ) β L ( ( ϑ 0 ) ϱ ) β L ( ϱ ) = β L ( ϑ ϱ ) β L ( ϱ ) .
Therefore, L D = ( U L , V L , α L , β L ) is a LDFI of A . □
Corollary 1.
Every LDFCI of A is a LDFSub of A .
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 B C K -algebra A = { 0 , ϑ , j , ϱ , } defined by Table 4:
Now define a LDFS L D = ( U L , V L , α L , β L ) on A as:
L D ( x ) = ( 0.5 , 0.1 , 0.4 , 0.3 ) i f   x = 0 , ( 0.4 , 0.2 , 0.3 , 0.4 ) i f   x = ϑ , ( 0.3 , 0.3 , 0.2 , 0.6 ) i f   x { j , ϱ , } .
It is easy to verify that L D is a LDFI of A but it is not a LDFCI of A because 0.3 = U L ( j ) = U L ( j ( ϱ ( ϱ j ) ) ) U L ( ( j ϱ ) 0 ) U L ( 0 ) = U L ( 0 ) = 0.5 .
Theorem 4.
Let L D = ( U L , V L , α L , β L ) be a LDFI of A . Then L D is a LDFCI ⇔ ϑ , ϱ A ,
L D ( ϑ ( ϱ ( ϱ ϑ ) ) ) L D ( ϑ ϱ ) .
Proof. 
(⇒) Let L D = ( U L , V L , α L , β L ) be a LDFCI of A . Then ϑ , ϱ , A , we have U L ( ϑ ( ϱ ( ϱ ϑ ) ) ) U L ( ( ϑ ϱ ) ) U L ( ) , V L ( ϑ ( ϱ ( ϱ ϑ ) ) ) V L ( ( ϑ ϱ ) ) V L ( ) , α L ( ϑ ( ϱ ( ϱ ϑ ) ) ) α L ( ( ϑ ϱ ) ) α L ( ) and β L ( ϑ ( ϱ ( ϱ ϑ ) ) ) β L ( ( ϑ ϱ ) ) β L ( ) . Taking = 0 , so
U L ( ϑ ( ϱ ( ϱ ϑ ) ) U L ( ( ϑ ϱ ) 0 ) U L ( 0 ) U L ( ϑ ϱ ) U L ( ϑ ϱ ) = U L ( ϑ ϱ ) ,
V L ( ϑ ( ϱ ( ϱ ϑ ) ) V L ( ( ϑ ϱ ) 0 ) V L ( 0 ) V L ( ϑ ϱ ) V L ( ϑ ϱ ) = V L ( ϑ ϱ ) ,
α L ( ϑ ( ϱ ( ϱ ϑ ) ) ) α L ( ( ϑ ϱ ) 0 ) α L ( 0 ) α L ( ϑ ϱ ) α L ( ϑ ϱ ) = α L ( ϑ ϱ )
and
β L ( ϑ ( ϱ ( ϱ ϑ ) ) ) β L ( ( ϑ ϱ ) 0 ) β L ( 0 ) β L ( ϑ ϱ ) β L ( ϑ ϱ ) = β L ( ϑ ϱ ) .
(⇐) Let L D = ( U L , V L , α L , β L ) be a LDFI such that L D ( ϑ ( ϱ ( ϱ ϑ ) ) ) L D ( ϑ ϱ ) , ϑ , ϱ , A . By assumption, we have
U L ( ϑ ( ϱ ( ϱ ϑ ) ) ) U L ( ϑ ϱ ) U L ( ( ϑ ϱ ) ) U L ( ) ,
V L ( ϑ ( ϱ ( ϱ ϑ ) ) ) V L ( ϑ ϱ ) V L ( ( ϑ ϱ ) ) V L ( ) ,
α L ( ϑ ( ϱ ( ϱ ϑ ) ) ) α L ( ϑ ϱ ) α L ( ( ϑ ϱ ) ) α L ( )
and
β L ( ϑ ( ϱ ( ϱ ϑ ) ) ) β L ( ϑ ϱ ) β L ( ( ϑ ϱ ) ) β L ( ) .
Therefore, L D = ( U L , V L , α L , β L ) is a LDFCI of A . □
Theorem 5.
Every LDFI of a commutative BCK-algebra A is a LDFCI.
Proof. 
Let L D = ( U L , V L , α L , β L ) be a LDFS of A . Then ϑ , ϱ , A , we have
ϑ ( ϱ ( ϱ ϑ ) ) ( ϑ ϱ ) = ϑ ( ϱ ( ϱ ϑ ) ) ( ϑ ϱ ) ϑ ( ϱ ( ϱ ϑ ) ) ( ϑ ϱ ) = ϑ ( ϑ ϱ ) ) ϱ ( ϱ ϑ ) ) = 0 .
It follows that ϑ ( ϱ ( ϱ ϑ ) ) ( ϑ ϱ ) . As L D = ( U L , V L , α L , β L ) is a LDFI of A , so by Lemma 3, U L ( ϑ ( ϱ ( ϱ ϑ ) ) ) U L ( ( ϑ ϱ ) ) U L ( ) , V L ( ϑ ( ϱ ( ϱ ϑ ) ) ) V L ( ( ϑ ϱ ) ) V L ( ) and α L ( ϑ ( ϱ ( ϱ ϑ ) ) ) α L ( ( ϑ ϱ ) ) α L ( ) , β L ( ϑ ( ϱ ( ϱ ϑ ) ) ) β L ( ( ϑ ϱ ) ) β L ( ) . Hence, L D = ( U L , V L , α L , β L ) is a LDFCI of A . □

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 B C K / B C I -algebras. We introduced the notions L D F S u b , L D F I and L D F C I of a B C K -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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Table 1. Cayley’s table for ∗-operation.
Table 1. Cayley’s table for ∗-operation.
0 ϑ ϱ
00000
ϑ ϑ 00 ϑ
ϱ ϱ ϑ 0 ϱ
0
Table 2. Cayley’s table for ∗-operation.
Table 2. Cayley’s table for ∗-operation.
01 ϑ ϱ
000 ϑ ϱ
110 ϑ ϱ
ϑ ϑ ϑ 0 ϱ
ϱ ϱ ϱ 0 ϑ
ϱ ϑ 0
Table 3. Cayley’s table for ∗-operation.
Table 3. Cayley’s table for ∗-operation.
0 ϑ ϱ
00000
ϑ ϑ 0 ϑ 0
ϱ ϱ ϱ 00
0
Table 4. Cayley’s table for ∗-opertaion.
Table 4. Cayley’s table for ∗-opertaion.
0 ϑ j ϱ
000000
ϑ ϑ 0 ϑ 00
jjj000
ϱ ϱ ϱ ϱ 00
ϱ j0
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MDPI and ACS Style

Muhiuddin, G.; Al-Tahan, M.; Mahboob, A.; Hoskova-Mayerova, S.; Al-Kaseasbeh, S. Linear Diophantine Fuzzy Set Theory Applied to BCK/BCI-Algebras. Mathematics 2022, 10, 2138. https://doi.org/10.3390/math10122138

AMA Style

Muhiuddin G, Al-Tahan M, Mahboob A, Hoskova-Mayerova S, Al-Kaseasbeh S. Linear Diophantine Fuzzy Set Theory Applied to BCK/BCI-Algebras. Mathematics. 2022; 10(12):2138. https://doi.org/10.3390/math10122138

Chicago/Turabian Style

Muhiuddin, Ghulam, Madeline Al-Tahan, Ahsan Mahboob, Sarka Hoskova-Mayerova, and Saba Al-Kaseasbeh. 2022. "Linear Diophantine Fuzzy Set Theory Applied to BCK/BCI-Algebras" Mathematics 10, no. 12: 2138. https://doi.org/10.3390/math10122138

APA Style

Muhiuddin, G., Al-Tahan, M., Mahboob, A., Hoskova-Mayerova, S., & Al-Kaseasbeh, S. (2022). Linear Diophantine Fuzzy Set Theory Applied to BCK/BCI-Algebras. Mathematics, 10(12), 2138. https://doi.org/10.3390/math10122138

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