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Article

Intuitionistic Fuzzy Soft Hyper BCK Algebras

1
School of Mathematics, Northwest University, Xi’an 710127, China
2
Department of Mathematics, Shahid Beheshti University, Tehran 1983963113, Iran
3
Department of Mathematics, University of Bojnord, P.O. Box 1339, Bojnord 9453155111, Iran
4
Department of Mathematics Education, Gyeongsang National University, Jinju 52828, Korea
*
Author to whom correspondence should be addressed.
Symmetry 2019, 11(3), 399; https://doi.org/10.3390/sym11030399
Submission received: 12 January 2019 / Revised: 21 February 2019 / Accepted: 25 February 2019 / Published: 19 March 2019

Abstract

:
Maji et al. introduced the concept of fuzzy soft sets as a generalization of the standard soft sets, and presented an application of fuzzy soft sets in a decision-making problem. Maji et al. also introduced the notion of intuitionistic fuzzy soft sets in the paper [P.K. Maji, R. Biswas and A.R. Roy, Intuitionistic fuzzy soft sets, The Journal of Fuzzy Mathematics, 9 (2001), no. 3, 677–692]. The aim of this manuscript is to apply the notion of intuitionistic fuzzy soft set to hyper BCK algebras. The notions of intuitionistic fuzzy soft hyper BCK ideal, intuitionistic fuzzy soft weak hyper BCK ideal, intuitionistic fuzzy soft s-weak hyper BCK-ideal and intuitionistic fuzzy soft strong hyper BCK-ideal are introduced, and related properties and relations are investigated. Characterizations of intuitionistic fuzzy soft (weak) hyper BCK ideal are considered. Conditions for an intuitionistic fuzzy soft weak hyper BCK ideal to be an intuitionistic fuzzy soft s-weak hyper BCK ideal are provided. Conditions for an intuitionistic fuzzy soft set to be an intuitionistic fuzzy soft strong hyper BCK ideal are given.

1. Introduction

Dealing with uncertainties is a major problem in many areas such as economics, engineering, environmental science, medical science, and social science etc. These problems cannot be dealt with by classical methods, because classical methods have inherent difficulties. To overcome these difficulties, Molodtsov [1] proposed a new approach, which was called soft set theory, for modeling uncertainty. In [2], Jun applied the notion of soft sets to the theory of B C K / B C I -algebras, and Jun et al. [3] studied ideal theory of B C K / B C I -algebras based on soft set theory. Maji et al. [4] extended the study of soft sets to fuzzy soft sets. They introduced the concept of fuzzy soft sets as a generalization of the standard soft sets, and presented an application of fuzzy soft sets in a decision-making problem. Maji et al. [5] also introduced the concept of intuitionistic fuzzy soft set which combines the advantage of soft set and Atanassov’s intuitionistic fuzzy set. Jun et al. [6] applied fuzzy soft set to B C K / B C I -algebras.
Hyperstructure theory was born in 1934 when Marty defined hypergroups, began to analyze their properties, and applied them to groups and relational algebraic functions (see [7]). Algebraic hyperstructures represent a natural extension of classical algebraic structures. In a classical algebraic structure, the composition of two elements is an element, while in an algebraic hyperstructure, the composition of two elements is a set. Many papers and several books have been written on this topic. Presently, hyperstructures have a lot of applications in several branches of mathematics and computer sciences (see [8,9,10,11,12,13,14,15,16,17,18,19]). In [20], Jun et al. applied the hyperstructures to B C K -algebras, and introduced the concept of a hyper B C K -algebra which is a generalization of a B C K -algebra. Since then, Jun et al. studied more notions and results in [3,21,22]. Also, several fuzzy versions of hyper B C K -algebras have been considered in [23,24]. Recently Davvaz et al. summarize research progress of fuzzy hyperstructures in [25].
In this article, we introduce the notions of intuitionistic fuzzy soft hyper BCK ideal, intuitionistic fuzzy soft weak hyper BCK ideal, intuitionistic fuzzy soft s-weak hyper BCK-ideal and intuitionistic fuzzy soft strong hyper BCK-ideal, and investigate related properties and relations. We discuss characterizations of intuitionistic fuzzy soft (weak) hyper BCK ideal. We find conditions for an intuitionistic fuzzy soft weak hyper BCK ideal to be an intuitionistic fuzzy soft s-weak hyper BCK ideal. We provide conditions for an intuitionistic fuzzy soft set to be an intuitionistic fuzzy soft strong hyper BCK ideal.

2. Preliminaries

Let H be a nonempty set endowed with a hyper operation “○”, that is, ○ is a function from H × H to P * ( H ) = P ( H ) \ { } . For two subsets A and B of H, denote by A B the set { a b a A , b B } . We shall use x y instead of x { y } , { x } y , or { x } { y } .
By a hyper BCK algebra (see [20]) we mean a nonempty set H endowed with a hyper operation “○” and a constant 0 satisfying the following axioms:
(H1)
( x z ) ( y z ) x y ,
(H2)
( x y ) z = ( x z ) y ,
(H3)
x H { x } ,
(H4)
x y and y x imply x = y ,
for all x , y , z H , where x y is defined by 0 x y and for every A , B H , A B is defined by a A , b B such that a b .
In a hyper BCK algebra H, the condition (H3) is equivalent to the condition:
x y { x } for all x , y H .
In any hyper BCK algebra H, the following hold (see [20]):
x 0 { x } , 0 x { 0 } , 0 0 { 0 } ,
( A B ) C = ( A C ) B , A B A , 0 A { 0 } ,
0 x , x x , A A ,
A B A B ,
0 x = { 0 } , 0 A = { 0 } ,
A { 0 } A = { 0 } ,
x x 0 ,
for all x , y , z H and for all non-empty subsets A, B and C of H.
A non-empty subset A of a hyper BCK algebra H is called a
  • hyper BCK ideal of H (see [20]) if it satisfies
    0 A ,
    ( x , y H ) x y A , y A x A .
  • strong hyper BCK ideal of H (see [22]) if it satisfies (8) and
    ( x , y H ) ( x y ) A , y A x A .
  • weak hyper BCK ideal of H (see [20]) if it satisfies (8) and
    ( x , y H ) x y A , y A x A .
Recall that every strong hyper BCK ideal is a hyper BCK ideal (see [22]).
Molodtsov [1] defined the soft set in the following way: Let U be an initial universe set and E be a set of parameters. Let P ( U ) denote the power set of U and A E .
A pair λ , A is called a soft set over U , where λ is a mapping given by
λ : A P ( U ) .
In other words, a soft set over U is a parameterized family of subsets of the universe U . For ε A , λ ( ε ) may be considered as the set of ε -approximate elements of the soft set ( λ , A ) (see [1]).
Let U be an initial universe set and E be a set of parameters. Let F ( U ) denote the set of all fuzzy sets in U. Then ( f , A ) is called a fuzzy soft set over U (see [4]) where A E and f is a mapping given by f : A F ( U ) .
In general, for every parameter u in A, f [ u ] is a fuzzy set in U and it is called fuzzy value set of parameter u. If for every u A , f [ u ] is a crisp subset of U, then ( f , A ) is degenerated to be the standard soft set. Thus, from the above definition, it is clear that fuzzy soft set is a generalization of standard soft set.

3. Intuitionistic Fuzzy Soft Hyper Bck Ideals

In what follows let H and E be a hyper BCK algebra and a set of parameters, respectively, unless otherwise specified.
Definition 1.
Let F I ( H ) denote the set of all intuitionistic fuzzy sets in H and A E . Then a pair ( λ ˜ , A ) is called an intuitionistic fuzzy soft set over H, where λ ˜ is a mapping given by
λ ˜ : A F I ( H ) .
For any parameter e A , λ ˜ ( e ) is an intuitionistic fuzzy set in H and it is called the intuitionistic fuzzy value set of parameter e, which is of the form
λ ˜ ( e ) = x , μ λ ˜ ( e ) ( x ) , γ λ ˜ ( e ) ( x ) x H .
Definition 2.
An intuitionistic fuzzy soft set ( λ ˜ , A ) over H is called an intuitionistic fuzzy soft hyper BCK ideal based on a parameter e A over H (briefly, e-intuitionistic fuzzy soft hyper BCK ideal of H) if the intuitionistic fuzzy value set λ ˜ ( e ) of e satisfies the following conditions:
( x , y H ) x y μ λ ˜ ( e ) ( x ) μ λ ˜ ( e ) ( y ) , γ λ ˜ ( e ) ( x ) γ λ ˜ ( e ) ( y ) ,
( x , y H ) μ λ ˜ ( e ) ( x ) min inf a x y μ λ ˜ ( e ) ( a ) , μ λ ˜ ( e ) ( y ) γ λ ˜ ( e ) ( x ) max sup a x y γ λ ˜ ( e ) ( a ) , γ λ ˜ ( e ) ( y ) .
If ( λ ˜ , A ) is an e-intuitionistic fuzzy soft hyper BCK ideal based on H for all e A , we say that ( λ ˜ , A ) is an intuitionistic fuzzy soft hyper BCK ideal of H.
Example 1.
Consider a hyper BCK algebra H = { 0 , a , b } with the hyper operation “” which is given in Table 1.
Given a set A = { x , y } of parameters, we define an intuitionistic fuzzy soft set ( λ ˜ , A ) by Table 2.
Then λ ˜ ( x ) satisfy conditions (14) and (15). Hence ( λ ˜ , A ) is an intuitionistic fuzzy soft hyper BCK ideal based on x over H. But λ ˜ ( y ) does not satisfy the condition (14) since a b and μ λ ˜ ( y ) ( a ) μ λ ˜ ( y ) ( b ) and/or γ λ ˜ ( y ) ( a ) γ λ ˜ ( y ) ( b ) , and so it is not an intuitionistic fuzzy soft hyper BCK ideal based on y over H.
Proposition 1.
For every intuitionistic fuzzy soft hyper BCK ideal ( λ ˜ , A ) of H and any parameter e A , the following assertions are valid.
(1)
( λ ˜ , A ) satisfies the condition
( x H ) μ λ ˜ ( e ) ( 0 ) μ λ ˜ ( e ) ( x ) , γ λ ˜ ( e ) ( 0 ) γ λ ˜ ( e ) ( x )
(2)
If ( λ ˜ , A ) satisfies the condition
( T , S 2 H ) ( ( x 0 , y 0 ) T × S ) μ λ ˜ ( e ) ( x 0 ) = inf a T μ λ ˜ ( e ) ( a ) γ λ ˜ ( e ) ( y 0 ) = sup b S γ λ ˜ ( e ) ( b ) ,
then the following assertion is valid.
( x , y H ) ( a , b x y ) μ λ ˜ ( e ) ( x ) min { μ λ ˜ ( e ) ( a ) , μ λ ˜ ( e ) ( y ) } γ λ ˜ ( e ) ( x ) max { γ λ ˜ ( e ) ( b ) , γ λ ˜ ( e ) ( y ) } .
Proof. 
Since 0 x for all x H , we have μ λ ˜ ( e ) ( 0 ) μ λ ˜ ( e ) ( x ) and γ λ ˜ ( e ) ( 0 ) γ λ ˜ ( e ) ( x ) by (14). For any x , y H , there exists x 0 , y 0 x y such that μ λ ˜ ( e ) ( x 0 ) = inf a x y μ λ ˜ ( e ) ( a ) and γ λ ˜ ( e ) ( y 0 ) = sup b x y γ λ ˜ ( e ) ( b ) by (17). It follows from (15) that
μ λ ˜ ( e ) ( x ) min inf a x y μ λ ˜ ( e ) ( a ) , μ λ ˜ ( e ) ( y ) = min μ λ ˜ ( e ) ( x 0 ) , μ λ ˜ ( e ) ( y )
and
γ λ ˜ ( e ) ( x ) max sup b x y γ λ ˜ ( e ) ( b ) , γ λ ˜ ( e ) ( y ) = max γ λ ˜ ( e ) ( y 0 ) , γ λ ˜ ( e ) ( y )
which is the desired result. □
Lemma 1
([21]). Let A be a subset of a hyper BCK algebra H. If I is a hyper BCK ideal of H such that A I , then A is contained in I .
Given an intuitionistic fuzzy soft set ( λ ˜ , A ) over H and ( ε , δ ) [ 0 , 1 ] × [ 0 , 1 ] with ε + δ 1 , we consider the following sets.
U ε : = x H μ λ ˜ ( e ) ( x ) ε L δ : = x H γ λ ˜ ( e ) ( x ) δ
where e is a parameter in A.
Theorem 1.
An intuitionistic fuzzy soft set ( λ ˜ , A ) over H is an intuitionistic fuzzy soft hyper BCK ideal of H if and only if the nonempty sets U ε and L δ are hyper BCK ideals of H for all ( ε , δ ) [ 0 , 1 ] × [ 0 , 1 ] with ε + δ 1 .
Proof. 
Let e be a parameter in A. Assume that ( λ ˜ , A ) is an intuitionistic fuzzy soft hyper BCK ideal of H and U ε and L δ are nonempty for all ( ε , δ ) [ 0 , 1 ] × [ 0 , 1 ] with ε + δ 1 . Then there exist a U ε and b L δ , and so μ λ ˜ ( e ) ( a ) ε and γ λ ˜ ( e ) ( b ) δ . It follows from (16) that
μ λ ˜ ( e ) ( 0 ) μ λ ˜ ( e ) ( a ) ε and γ λ ˜ ( e ) ( 0 ) γ λ ˜ ( e ) ( b ) δ .
Hence 0 U ε L δ . Let x , y H be such that x y U ε and y U ε . Then for any a x y there exists a 0 U ε such that a a 0 . Thus μ λ ˜ ( e ) ( a ) μ λ ˜ ( e ) ( a 0 ) ε by (14), which implies from (15) that
μ λ ˜ ( e ) ( x ) min inf a x y μ λ ˜ ( e ) ( a ) , μ λ ˜ ( e ) ( y ) min ε , μ λ ˜ ( e ) ( y ) ε .
Hence x U ε , and therefore U ε is a hyper BCK ideal of H. Now suppose that a b L δ and b L δ for all a , b H . Then for any x a b there exists x 0 L δ such that x x 0 . Thus γ λ ˜ ( e ) ( x ) γ λ ˜ ( e ) ( x 0 ) δ by (14), which implies from (15) that
γ λ ˜ ( e ) ( a ) max sup x a b γ λ ˜ ( e ) ( x ) , γ λ ˜ ( e ) ( b ) max δ , γ λ ˜ ( e ) ( b ) δ .
Hence a L δ , and therefore L δ is a hyper BCK ideal of H.
Conversely, suppose that the nonempty sets U ε and L δ are hyper BCK ideals of H for all ( ε , δ ) [ 0 , 1 ] × [ 0 , 1 ] with ε + δ 1 . Let x , y , u , v H be such that x y , μ λ ˜ ( e ) ( y ) = ε , u v and γ λ ˜ ( e ) ( v ) = δ . Then y U ε and v L δ , which imply that x U ε and u L δ . It follows from Lemma 1 that x U ε and u L δ . Thus μ λ ˜ ( e ) ( x ) ε = μ λ ˜ ( e ) ( y ) and γ λ ˜ ( e ) ( u ) δ = γ λ ˜ ( e ) ( v ) . Now, for any x , y , u , v H , let ε : = min inf a x y μ λ ˜ ( e ) ( a ) , μ λ ˜ ( e ) ( y ) and δ : = max sup b u v γ λ ˜ ( e ) ( b ) , γ λ ˜ ( e ) ( v ) . Then y U ε and v L δ , and for each a x y and b u v we have
μ λ ˜ ( e ) ( a ) inf a x y μ λ ˜ ( e ) ( a ) min inf a x y μ λ ˜ ( e ) ( a ) , μ λ ˜ ( e ) ( y ) = ε
and
γ λ ˜ ( e ) ( b ) sup b u v γ λ ˜ ( e ) ( b ) max sup b u v γ λ ˜ ( e ) ( b ) , γ λ ˜ ( e ) ( v ) = δ .
Thus, a U ε and b L δ , and so x y U ε and u v L δ . Hence x y U ε and u v L δ by (4). Since y U ε , v L δ and U ε and L δ are hyper BCK ideal of H, it follows that x U ε and u L δ . Therefore
μ λ ˜ ( e ) ( x ) ε = min inf a x y μ λ ˜ ( e ) ( a ) , μ λ ˜ ( e ) ( y )
and
γ λ ˜ ( e ) ( u ) δ = max sup b u v γ λ ˜ ( e ) ( b ) , γ λ ˜ ( e ) ( v ) .
Consequently, ( λ ˜ , A ) is an intuitionistic fuzzy soft hyper BCK ideal of H. □
Definition 3.
An intuitionistic fuzzy soft set ( λ ˜ , A ) over H is called an
  • intuitionistic fuzzy soft weak hyper BCK ideal based on a parameter e A over H (briefly, e-intuitionistic fuzzy soft weak hyper BCK ideal of H) if the intuitionistic fuzzy value set λ ˜ ( e ) of e satisfies conditions (15) and (16).
  • intuitionistic fuzzy soft s-weak hyper BCK ideal based on a parameter e A over H (briefly, e-intuitionistic fuzzy soft s-weak hyper BCK ideal of H) if the intuitionistic fuzzy value set λ ˜ ( e ) of e satisfies conditions (16) and (18).
If ( λ ˜ , A ) is an intuitionistic fuzzy soft weak (resp., s-weak) hyper BCK ideal based on e over H for all e A , we say that ( λ ˜ , A ) is an intuitionistic fuzzy soft weak (resp., s-weak) hyper BCK ideal of H.
Example 2.
The intuitionistic fuzzy soft set ( λ ˜ , A ) in Example 1 is an intuitionistic fuzzy soft weak hyper BCK ideal of H. □
Obviously, every intuitionistic fuzzy soft hyper BCK ideal is an intuitionistic fuzzy soft weak hyper BCK ideal. However, the converse is not true in general. In fact, the intuitionistic fuzzy soft weak hyper BCK ideal of H in Example 2 is not an intuitionistic fuzzy soft hyper BCK ideal of H since it is not an intuitionistic fuzzy soft hyper BCK ideal based on parameter y over H.
Theorem 2.
An intuitionistic fuzzy soft set ( λ ˜ , A ) over H is an intuitionistic fuzzy soft weak hyper BCK ideal of H if and only if the nonempty sets U ε and L δ are weak hyper BCK ideals of H for all ( ε , δ ) [ 0 , 1 ] × [ 0 , 1 ] with ε + δ 1 where e is any parameter in A.
Proof. 
It is similar to the proof of Theorem 1. □
Theorem 3.
Every intuitionistic fuzzy soft s-weak hyper BCK ideal is an intuitionistic fuzzy soft weak hyper BCK ideal.
Proof. 
Let ( λ ˜ , A ) be an intuitionistic fuzzy soft s-weak hyper BCK ideal of H. Let x , y H and e A . Then there exists a , b x y such that μ λ ˜ ( e ) ( x ) min { μ λ ˜ ( e ) ( a ) , μ λ ˜ ( e ) ( y ) } and γ λ ˜ ( e ) ( x ) max { γ λ ˜ ( e ) ( b ) , γ λ ˜ ( e ) ( y ) } by (18). Since μ λ ˜ ( e ) ( a ) inf c x y μ λ ˜ ( e ) ( c ) and γ λ ˜ ( e ) ( b ) sup d x y μ λ ˜ ( e ) ( d ) , it follows that
μ λ ˜ ( e ) ( x ) min inf c x y μ λ ˜ ( e ) ( c ) , μ λ ˜ ( e ) ( y )
and
γ λ ˜ ( e ) ( x ) max sup d x y γ λ ˜ ( e ) ( d ) , γ λ ˜ ( e ) ( y ) .
Therefore ( λ ˜ , A ) is an intuitionistic fuzzy soft weak hyper BCK ideal of H. □
Question 1.
Is the converse of Theorem 3 true?
It is not easy to find an example of an intuitionistic fuzzy soft weak hyper BCK ideal which is not an intuitionistic fuzzy soft s-weak hyper BCK ideal. However, we have the following theorem.
Theorem 4.
If an intuitionistic fuzzy soft weak hyper BCK ideal ( λ ˜ , A ) of H satisfies the condition (17) then ( λ ˜ , A ) is an intuitionistic fuzzy soft s-weak hyper BCK ideal of H.
Proof. 
Let e be a parameter in A. For any x , y H , there exists x 0 , y 0 x y such that μ λ ˜ ( e ) ( x 0 ) = inf a x y μ λ ˜ ( e ) ( a ) and γ λ ˜ ( e ) ( y 0 ) = sup b x y γ λ ˜ ( e ) ( b ) by (17). It follows from (15) that
μ λ ˜ ( e ) ( x ) min inf a x y μ λ ˜ ( e ) ( a ) , μ λ ˜ ( e ) ( y ) = min μ λ ˜ ( e ) ( x 0 ) , μ λ ˜ ( e ) ( y )
and
γ λ ˜ ( e ) ( x ) max sup a x y γ λ ˜ ( e ) ( a ) , γ λ ˜ ( e ) ( y ) = max γ λ ˜ ( e ) ( y 0 ) , γ λ ˜ ( e ) ( y )
Therefore ( λ ˜ , A ) is an e-intuitionistic fuzzy soft s-weak hyper BCK ideal of H, and hence ( λ ˜ , A ) is an intuitionistic fuzzy soft s-weak hyper BCK ideal of H since e is arbitrary.
The condition (17) is always true in a finite hyper BCK algebra. Hence the notion of intuitionistic fuzzy soft s-weak hyper BCK ideal is in accord with the notion of intuitionistic fuzzy soft weak hyper BCK ideal in a finite hyper BCK algebra.
Definition 4.
An intuitionistic fuzzy soft set ( λ ˜ , A ) over H is called an intuitionistic fuzzy soft strong hyper BCK ideal over H based on a parameter e in A (briefly, e-intuitionistic fuzzy soft strong hyper BCK ideal of H) if the intuitionistic fuzzy value set λ ˜ ( e ) : H [ 0 , 1 ] of e satisfies the condition
( x , y H ) μ λ ˜ ( e ) ( x ) min sup a x y μ λ ˜ ( e ) ( a ) , μ λ ˜ ( e ) ( y ) γ λ ˜ ( e ) ( x ) max inf a x y γ λ ˜ ( e ) ( a ) , γ λ ˜ ( e ) ( y ) .
and
( x H ) inf a x x μ λ ˜ ( e ) ( a ) μ λ ˜ ( e ) ( x ) , sup a x x γ λ ˜ ( e ) ( a ) γ λ ˜ ( e ) ( x ) .
If ( λ ˜ , A ) is an e-intuitionistic fuzzy soft strong hyper BCK ideal of H for all e A , we say that ( λ ˜ , A ) is an intuitionistic fuzzy soft strong hyper BCK ideal of H.
Proposition 2.
Every intuitionistic fuzzy soft strong hyper BCK ideal ( λ ˜ , A ) of H satisfies the following assertions.
(1)
( λ ˜ , A ) satisfies the condition (16) for all e A .
(2)
( x , y H ) ( e A ) x y μ λ ˜ ( e ) ( x ) μ λ ˜ ( e ) ( y ) γ λ ˜ ( e ) ( x ) γ λ ˜ ( e ) ( y ) .
(3)
( a , x , y H ) ( e A ) a x y μ λ ˜ ( e ) ( x ) min { μ λ ˜ ( e ) ( a ) , μ λ ˜ ( e ) ( y ) } γ λ ˜ ( e ) ( x ) max { γ λ ˜ ( e ) ( a ) , γ λ ˜ ( e ) ( y ) } .
Proof. 
(1) Let e A . Since x x , i.e., 0 x x for all x H , we have
μ λ ˜ ( e ) ( 0 ) inf a x x μ λ ˜ ( e ) ( a ) μ λ ˜ ( e ) ( x )
and
γ λ ˜ ( e ) ( 0 ) sup a x x γ λ ˜ ( e ) ( a ) γ λ ˜ ( e ) ( x )
for all x H by (21).
(2) Let e A and x , y H be such that x y . Then 0 x y , and so μ λ ˜ ( e ) ( 0 ) sup a x y μ λ ˜ ( e ) ( a ) and γ λ ˜ ( e ) ( 0 ) inf a x y γ λ ˜ ( e ) ( a ) . It follows from (20) and (16) that
μ λ ˜ ( e ) ( x ) min sup a x y μ λ ˜ ( e ) ( a ) , μ λ ˜ ( e ) ( y ) min μ λ ˜ ( e ) ( 0 ) , μ λ ˜ ( e ) ( y ) = μ λ ˜ ( e ) ( y )
and
γ λ ˜ ( e ) ( x ) max inf a x y γ λ ˜ ( e ) ( a ) , γ λ ˜ ( e ) ( y ) max γ λ ˜ ( e ) ( 0 ) , γ λ ˜ ( e ) ( y ) = γ λ ˜ ( e ) ( y ) .
(3) Let e A and a , x , y H be such that a x y . Then sup b x y μ λ ˜ ( e ) ( b ) μ λ ˜ ( e ) ( a ) and inf c x y γ λ ˜ ( e ) ( c ) γ λ ˜ ( e ) ( a ) , which imply from (20) that
μ λ ˜ ( e ) ( x ) min sup b x y μ λ ˜ ( e ) ( b ) , μ λ ˜ ( e ) ( y ) min μ λ ˜ ( e ) ( a ) , μ λ ˜ ( e ) ( y )
and
γ λ ˜ ( e ) ( x ) max inf c x y γ λ ˜ ( e ) ( c ) , γ λ ˜ ( e ) ( y ) max γ λ ˜ ( e ) ( a ) , γ λ ˜ ( e ) ( y ) .
This proves (3). □
Please note that if a x y for all a , x , y H , then μ λ ˜ ( e ) ( a ) inf b x y μ λ ˜ ( e ) ( b ) and γ λ ˜ ( e ) ( a ) sup b x y γ λ ˜ ( e ) ( b ) for all e A . Hence, we have the following corollary.
Corollary 1.
Every intuitionistic fuzzy soft strong hyper BCK ideal ( λ ˜ , A ) of H satisfies the following condition:
( e A ) ( x , y H ) μ λ ˜ ( e ) ( x ) min inf a x y μ λ ˜ ( e ) ( a ) , μ λ ˜ ( e ) ( y ) γ λ ˜ ( e ) ( x ) max sup a x y γ λ ˜ ( e ) ( a ) , γ λ ˜ ( e ) ( y ) .
Corollary 2.
Every intuitionistic fuzzy soft strong hyper BCK ideal is both an intuitionistic fuzzy soft s-weak hyper BCK ideal and an intuitionistic fuzzy soft hyper BCK ideal.
Proof. 
Straightforward. □
The following example shows that there is an intuitionistic fuzzy soft hyper BCK ideal (and hence an intuitionistic fuzzy soft weak hyper BCK ideal) which is not an intuitionistic fuzzy soft strong hyper BCK ideal.
Example 3.
Consider the hyper BCK algebra H = { 0 , a , b } in Example 1. Given a set E = { x , y , z } of parameters, let ( λ ˜ , A ) be an intuitionistic fuzzy soft set over H defined by Table 3.
Then ( λ ˜ , A ) is an intuitionistic fuzzy soft (weak) hyper BCK ideal of H. However, it is not an intuitionistic fuzzy soft strong hyper BCK ideal of H since
μ λ ˜ ( y ) ( b ) = 0.2 < 0.3 = min sup c b a μ λ ˜ ( y ) ( c ) , μ λ ˜ ( y ) ( a )
and
γ λ ˜ ( y ) ( b ) = 0.45 = 0.45 = max inf c b a γ λ ˜ ( y ) ( c ) , γ λ ˜ ( y ) ( a ) .
Theorem 5.
If ( λ ˜ , A ) is an intuitionistic fuzzy soft strong hyper BCK ideal of H, then the nonempty sets U ε and L δ are strong hyper BCK ideals of H for all ( ε , δ ) [ 0 , 1 ] × [ 0 , 1 ] with ε + δ 1 .
Proof. 
Let ( λ ˜ , A ) be an intuitionistic fuzzy soft strong hyper BCK ideal of H and ( ε , δ ) [ 0 , 1 ] × [ 0 , 1 ] be such that ε + δ 1 and U ε L δ where e is any parameter in A. Then there exist a U ε and b L δ , and thus μ λ ˜ ( e ) ( a ) ε and γ λ ˜ ( e ) ( b ) δ . By Proposition 2(1), μ λ ˜ ( e ) ( 0 ) μ λ ˜ ( e ) ( a ) ε and γ λ ˜ ( e ) ( 0 ) γ λ ˜ ( e ) ( b ) δ , and thus 0 U ε L δ . Let x , y H be such that ( x y ) U ε and y U ε . Then μ λ ˜ ( e ) ( y ) ε and there exists a 0 ( x y ) U ε . It follows from (20) that
μ λ ˜ ( e ) ( x ) min sup c x y μ λ ˜ ( e ) ( c ) , μ λ ˜ ( e ) ( y ) min μ λ ˜ ( e ) ( a 0 ) , μ λ ˜ ( e ) ( y ) ε .
Hence x U ε , and therefore U ε is a strong hyper BCK ideal of H. Now assume that ( x y ) L δ and y L δ for all x , y H . Then there exists b 0 ( x y ) L δ and γ λ ˜ ( e ) ( y ) δ . Using (20), we get
γ λ ˜ ( e ) ( x ) max inf c x y γ λ ˜ ( e ) ( c ) , γ λ ˜ ( e ) ( y ) max γ λ ˜ ( e ) ( b 0 ) , γ λ ˜ ( e ) ( y ) δ .
Thus, x L δ , and so L δ is a strong hyper BCK ideal of H. □
We provide conditions for an intuitionistic fuzzy soft set to be an intuitionistic fuzzy soft strong hyper BCK ideal.
Theorem 6.
Let ( λ ˜ , A ) be an intuitionistic fuzzy soft set over H such that
( T H ) ( x 0 , y 0 T ) μ λ ˜ ( e ) ( x 0 ) = sup a T μ λ ˜ ( e ) ( a ) , γ λ ˜ ( e ) ( y 0 ) = inf b T γ λ ˜ ( e ) ( b )
where e is any parameter in A. If the sets U ε and L δ in (19) are nonempty strong hyper BCK ideals of H for all ( ε , δ ) [ 0 , 1 ] × [ 0 , 1 ] with ε + δ 1 , then ( λ ˜ , A ) is an intuitionistic fuzzy soft strong hyper BCK ideal of H.
Proof. 
For any parameter e in A and x H , let μ λ ˜ ( e ) ( x ) = ε and γ λ ˜ ( e ) ( x ) = δ . Then x U ε and x L δ . Since x x x by (H3), it follows from Lemma 1 that x x U ε . Hence μ λ ˜ ( e ) ( a ) ε and γ λ ˜ ( e ) ( a ) δ for all a x x , and so inf a x x μ λ ˜ ( e ) ( a ) ε = μ λ ˜ ( e ) ( x ) and sup a x x γ λ ˜ ( e ) ( a ) δ = γ λ ˜ ( e ) ( x ) . For any x , y H , let k = min sup a x y μ λ ˜ ( e ) ( a ) , μ λ ˜ ( e ) ( y ) and r = max inf a x y γ λ ˜ ( e ) ( a ) , γ λ ˜ ( e ) ( y ) . Then U k and L r are nonempty and are strong hyper BCK ideals of H by hypothesis. Using the condition (23) implies that μ λ ˜ ( e ) ( a 0 ) = sup a x y μ λ ˜ ( e ) ( a ) and γ λ ˜ ( e ) ( b 0 ) = inf a x y γ λ ˜ ( e ) ( a ) for some a 0 , b 0 x y . Hence
μ λ ˜ ( e ) ( a 0 ) = sup a x y μ λ ˜ ( e ) ( a ) min sup a x y μ λ ˜ ( e ) ( a ) , μ λ ˜ ( e ) ( y ) = k
and
γ λ ˜ ( e ) ( b 0 ) = inf a x y γ λ ˜ ( e ) ( a ) max inf a x y γ λ ˜ ( e ) ( a ) , γ λ ˜ ( e ) ( y ) = r ,
which imply that a 0 U k and b 0 L r . It follows that ( x y ) U k and ( x y ) L r . Since U k and L r are strong hyper BCK ideals of H, we have x U k and x L r . Thus
μ λ ˜ ( e ) ( x ) k = min sup a x y μ λ ˜ ( e ) ( a ) , μ λ ˜ ( e ) ( y )
and
γ λ ˜ ( e ) ( x ) r = max inf a x y γ λ ˜ ( e ) ( a ) , γ λ ˜ ( e ) ( y )
Therefore ( λ ˜ , A ) is an intuitionistic fuzzy soft strong hyper BCK ideal of H. □
Theorem 7.
Let H satisfy the following condition:
( x , y H ) | x y | < .
Given an intuitionistic fuzzy soft set ( λ ˜ , A ) over H, if the nonempty sets U ε and L δ in (19) are strong hyper BCK ideals of H for all ( ε , δ ) [ 0 , 1 ] × [ 0 , 1 ] with ε + δ 1 , then ( λ ˜ , A ) is an intuitionistic fuzzy soft strong hyper BCK ideal of H.
Proof. 
Assume that U ε and L δ in (19) are nonempty strong hyper BCK ideals of H for all ( ε , δ ) [ 0 , 1 ] × [ 0 , 1 ] with ε + δ 1 . Then U ε and L δ are hyper BCK ideals of H, and so ( λ ˜ , A ) is an intuitionistic fuzzy soft hyper BCK ideal of H by Theorem 1. Please note that x x x H { x } for all x H . Hence a x for every a x x , which implies from (14) that μ λ ˜ ( e ) ( a ) μ λ ˜ ( e ) ( x ) and γ λ ˜ ( e ) ( a ) γ λ ˜ ( e ) ( x ) for all a x x and any parameter e in A. Thus μ λ ˜ ( e ) ( x ) inf a x x μ λ ˜ ( e ) ( a ) and γ λ ˜ ( e ) ( x ) sup a x x γ λ ˜ ( e ) ( a ) . Let min sup a x y μ λ ˜ ( e ) ( a ) , μ λ ˜ ( e ) ( y ) = ε and max inf a x y γ λ ˜ ( e ) ( a ) , γ λ ˜ ( e ) ( y ) = δ . Then sup a x y μ λ ˜ ( e ) ( a ) ε , μ λ ˜ ( e ) ( y ) ε , inf a x y γ λ ˜ ( e ) ( a ) δ and γ λ ˜ ( e ) ( y ) δ . Since | x y | < for all x , y H , there exists b x y such that μ λ ˜ ( e ) ( b ) ε , μ λ ˜ ( e ) ( y ) ε , γ λ ˜ ( e ) ( b ) δ and γ λ ˜ ( e ) ( y ) δ . It follows that ( x y ) U ε , y U ε , ( x y ) L δ and y L δ . Since U ε and L δ are strong hyper BCK ideal of H, we have x U ε L δ . Consequently, μ λ ˜ ( e ) ( x ) ε = min sup a x y μ λ ˜ ( e ) ( a ) , μ λ ˜ ( e ) ( y ) and γ λ ˜ ( e ) ( x ) δ = max inf a x y γ λ ˜ ( e ) ( a ) , γ λ ˜ ( e ) ( y ) . Therefore ( λ ˜ , A ) is an intuitionistic fuzzy soft strong hyper BCK ideal of H. □

4. Conclusions

We have introduced the notions of intuitionistic fuzzy soft hyper BCK ideal, intuitionistic fuzzy soft weak hyper BCK ideal, intuitionistic fuzzy soft s-weak hyper BCK-ideal and intuitionistic fuzzy soft strong hyper BCK-ideal, and have investigated related properties and relations. We have discussed characterizations of intuitionistic fuzzy soft (weak) hyper BCK ideal, and have found conditions for an intuitionistic fuzzy soft weak hyper BCK ideal to be an intuitionistic fuzzy soft s-weak hyper BCK ideal. We have provided conditions for an intuitionistic fuzzy soft set to be an intuitionistic fuzzy soft strong hyper BCK ideal. In future work, different types of intuitionistic fuzzy soft hyper BCK ideals will be defined and discussed.

Author Contributions

Investigation, X.X. and R.A.B.; Methodology, M.B. and Y.B.J.

Funding

This research is partially supported by a grant of National Natural Science Foundation of China (11571281).

Acknowledgments

The authors wish to thank the anonymous reviewers for their valuable comments and suggestions.

Conflicts of Interest

The authors declare no conflict of interest.

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Table 1. Tabular representation of the binary operation ○.
Table 1. Tabular representation of the binary operation ○.
0ab
0 { 0 } { 0 } { 0 }
a { a } { 0 , a } { 0 , a }
b { b } { a , b } { 0 , a , b }
Table 2. Tabular representation of ( λ ˜ , A ) .
Table 2. Tabular representation of ( λ ˜ , A ) .
λ ˜ 0ab
x ( 0.9 , 0.05 ) ( 0.5 , 0.35 ) ( 0.3 , 0.55 )
y ( 0.8 , 0.15 ) ( 0.4 , 0.45 ) ( 0.6 , 0.25 )
Table 3. Tabular representation of ( λ ˜ , A ) .
Table 3. Tabular representation of ( λ ˜ , A ) .
λ ˜ 0ab
x ( 0.8 , 0.15 ) ( 0.7 , 0.25 ) ( 0.6 , 0.35 )
y ( 0.5 , 0.35 ) ( 0.3 , 0.45 ) ( 0.2 , 0.45 )
z ( 0.9 , 0.05 ) ( 0.6 , 0.35 ) ( 0.1 , 0.65 )

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Xin, X.; Borzooei, R.A.; Bakhshi, M.; Jun, Y.B. Intuitionistic Fuzzy Soft Hyper BCK Algebras. Symmetry 2019, 11, 399. https://doi.org/10.3390/sym11030399

AMA Style

Xin X, Borzooei RA, Bakhshi M, Jun YB. Intuitionistic Fuzzy Soft Hyper BCK Algebras. Symmetry. 2019; 11(3):399. https://doi.org/10.3390/sym11030399

Chicago/Turabian Style

Xin, Xiaolong, Rajab Ali Borzooei, Mahmood Bakhshi, and Young Bae Jun. 2019. "Intuitionistic Fuzzy Soft Hyper BCK Algebras" Symmetry 11, no. 3: 399. https://doi.org/10.3390/sym11030399

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