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Research Article

On some properties of p-ideals based on intuitionistic fuzzy sets

& | (Reviewing Editor)
Article: 1210001 | Received 13 Jun 2016, Accepted 23 Jun 2016, Published online: 27 Jul 2016

Abstract

In this paper, we consider the intuitionistic fuzzification of the concept of p-ideals in BCI-algebras and investigate some of their properties. Intuitionistic fuzzy p-ideals are connected with intuitionistic fuzzy ideals and intuitionistic fuzzy subalgebras. Moreover, intuitionistic fuzzy p-ideals are characterized using level subsets, homomorphic pre-images, and intuitionistic fuzzy ideal extensions.

Public Interest Statement

This paper considers the intuitionistic fuzzification of the concept of p-ideals in BCI-algebras. Intuitionistic fuzzy p-ideals are related with simple intuitionistic fuzzy ideals with the help of examples and their characterizations are discussed using the ideas of level subsets, homomorphic pre-images, and intuitionistic fuzzy ideal extensions. This article can be helpful in solving many decision-making problems.

1. Introduction

The operations of union, intersection, and the set difference are the most elementary operations of set theory. The study of these operations leads to the creation of a number of branches of algebra, for instance the notion of Boolean algebra is a result of generalization of these three operations and their properties. Also, the algebraic structures of distributive lattices, semi-rings, upper and lower semi-lattices are introduced on the basis of properties of intersection and union. Till 1966, different algebraic structures were discussed using the properties of intersection and union but the operation of set difference and its properties remained unexplored. Imai and Iséki (II1) considered the properties of set difference and presented the idea of a BCK-algebra. Iséki, in the same year, generalized BCK-algebras and presented the notion of BCI-algebras. BCK-algebras are inspired by BCK logic, i.e. an implicational logic based on modus ponens and the following axioms scheme:AxiomBAB..(CA)(CB)AxiomCA(BC)..B(AC)AxiomKA(BA)

Similarly, BCI-algebras are inspired by BCI logic.

In the present era, uncertainty is one of the definitive changes in science. The traditional view is that uncertainty is objectionable in science and science should endeavor for certainty through all conceivable means. At present, it is believed that uncertainty is vigorous for science that is not only an inevitable epidemic but also has great effectiveness. The statistical method, particularly the probability theory, was the first type of this approach to study the physical process at the molecular level as the existing computational approaches were not able to meet the enormous number of units involved in Newtonian mechanics. Till mid-twentieth century, probability theory was the only tool for handling certain type of uncertainty called randomness. But there are several other kinds of uncertainties, one such type is called “vagueness” or “imprecision” which is inherent in our natural languages.

During the world war II, the development of computer technology assisted quite effectively in overcoming many complicated problems. But later, it was realized that complexity can be handled up to a certain limit, that is, there are complications which cannot be overcome by human skills or any computer technology. Then, the problem was to deal with such type of complications where no computational power is effective. Zadeh (Z1) put forward his idea of fuzzy set theory which is considered to be the most suitable tool in overcoming the uncertainties. The concept of fuzzy set was suggested to achieve a simplified modeling of complex systems. The application of basic operations as direct generalization of complement, intersection, and union for characteristic function was also proposed as a result of this idea. This theory is considered as a substitute of probability theory and is widely used in solving decision-making problems. Later, this “fuzziness” concept led to the highly acclaimed theory of fuzzy logic. This theory has been applied with a good deal of success to many areas of engineering, economics, medical science, etc., to name a few, with great efficiency.

After the invention of fuzzy sets, many other hybrid concepts begun to develop. Atanassov (At3) generalized the fuzzy sets by presenting the idea of intuitionistic fuzzy sets, a set with each member having a degree of belongingness as well as a degree of non-belongingness. Davvaz, Abdulmula, and Salleh (D1), Senapati, Bhowmik, Pal, and Davvaz (D2), Cristea, Davvaz, and Sadrabadi (D3) discussed Atanassov’s intuitionistic fuzzy hyperrings (rings) based on intuitionistic fuzzy universal sets, Atanassov’s intuitionistic fuzzy translations of intuitionistic fuzzy subalgebras and ideals in BCK/BCI-algebras and special intuitionistic fuzzy subhypergroups of complete hypergroups. Mursaleen, Srivastava, and Sharma (M2) defined certain new spaces of statistically convergent and strongly summable sequences of fuzzy numbers.

Jun and Meng (JM1) discussed the idea of fuzzy p-ideals in BCI-algebras and proved the basic properties. In this paper, we introduce the concept of intuitionistic fuzzy p-ideals in BCI-algebras and investigate some of its properties.

2. Preliminaries

An algebra (Ω,·,0) of type (2, 0) is called a BCI-algebra if it satiates the following axioms (Imai & Iséki, II1):1.2.1.((ı·ȷ)·(ı·))·(·ȷ)=01.2.2.(ı·(ı·ȷ))·ȷ=01.2.3.ı·ı=01.2.4.ı·ȷ=0andȷ·ı=0implyı=ȷ1.2.5.ı·0=0ı=0for anyı,ȷ,Ω.

In a BCI-algebra, a partial ordering “” is demarcated as, ıȷı·ȷ=0. In a BCI-algebra Ω, the set M={ıΩ0·ı=0} is a subalgebra and is called the BCK-part of Ω. Ω is called proper if Ω-MΦ. Otherwise it is improper. Moreover, in a BCI-algebra, the succeeding axioms hold:1.2.6.(ı·ȷ)·=(ı·)·ȷ1.2.7.ı·0=ı1.2.8.ıȷimpliesı·ȷ·and·ȷ·ı1.2.9.0·(ı·ȷ)=(0·ı)·(0·ȷ)1.2.10.0·(0·(ı·ȷ))=0·(ȷ·ı)1.2.11.(ı·)·(ȷ·)ı·ȷfor anyı,ȷ,Ω.

A mapping θ:XY of BCI-algebras is called a homomorphism if θ(ı·ȷ)=θ(ı)·θ(ȷ), for any ı,ȷX.

Definition 1.1 An “intuitionistic fuzzy set” (IFS) Δ in a non-empty set Ξ is an object having the form Δ={(ı,ϖΔ(ı),ξΔ(ı))ıΞ}, where the mappings ϖΔ:Ξ[0,1] and ξΔ:Ξ[0,1] signify the “degree of membership” and the “degree of non-membership” and 0ϖΔ(ı)+ξΔ(ı)1 for all ıΞ (Jun & Kim, Jkaa).

An IFSΔ={(ı,ϖΔ(ı),ξΔ(ı))ıΞ} in Ξ can be identified to an ordered pair (ϖΔ,ξΔ) in IΞ×IΞ. In the sequel, Δ=(ϖΔ,ξΔ) will be used instead of the notation Δ={(ı,ϖΔ(ı),ξΔ(ı))ıΞ} and Ω will be a “BCI-algebra.”

Definition 1.2 An IFSΔ=(ϖΔ,ξΔ) in Ω is called an “intuitionistic fuzzy subalgebra” of Ω if it satisfies (Jun & Kim, Jkaa):ϖΔ(ı·ȷ)min{ϖΔ(ı),ϖΔ(ȷ)}andξΔ(ı·ȷ)max{ξΔ(ı),ξΔ(ȷ)}for allı,ȷΩ.Proposition 1.3 Any “intuitionistic fuzzy subalgebra” Δ=(ϖΔ,ξΔ) of Ω satisfies the inequalities (Jun & Kim, Jkaa):ϖΔ(0)ϖΔ(ı)andξΔ(0)ξΔ(ı)for allıΩ.Definition 1.4 An IFSΔ=(ϖΔ,ξΔ) in Ω is called an “intuitionistic fuzzy ideal” (IFI) of Ω if it satisfies the following inequalities (Jun & Kim, Jkaa):(IFI-1)ϖΔ(0)ϖΔ(ı)andξΔ(0)ξΔ(ı)(IFI-2)ϖΔ(ı)min{ϖΔ(ı·ȷ),ϖΔ(ȷ)}(IFI-3)ξΔ(ı)max{ξΔ(ı·ȷ),ξΔ(ȷ)}for allı,ȷΩ.

An IFSΔ=(ϖΔ,ξΔ) in Ω is called an “intuitionistic fuzzy closed ideal” of Ω if it satisfies (IFI-2), (IFI-3) and (IFI-4)ϖΔ(0·ı)ϖΔ(ı) and ξΔ(0·ı)ξΔ(ı) for all ıΩ.

Proposition 1.5 Any IFI of a BCK-algebra Ξ is an intuitionistic fuzzy subalgebra of Ξ (Jun & Kim, Jkaa).

Lemma 1.6 Let IFSΔ=(ϖΔ,ξΔ) be an IFI of Ω. If the inequality ı·ȷ holds in Ω, then, ϖΔ(ı)min{ϖΔ(ȷ),ϖΔ()} and ξΔ(ı)max{ξΔ(ȷ),ξΔ()} (Jun & Kim, Jkaa).

Lemma 1.7 Let IFSΔ=(ϖΔ,ξΔ) be an IFI of Ω. If the inequality ıȷ holds in Ω, then ϖΔ(ı)ϖΔ(ȷ) and ξΔ(ı)ξΔ(ȷ), that is ϖΔ is order reversing, while ξΔ is order preserving (Jun & Kim, Jkaa).

Theorem 1.8 Let IFSΔ=(ϖΔ,ξΔ) be an IFI of Ω.

If ϖΔ(ı·ȷ)ϖΔ(ı) and ξΔ(ı·ȷ)ξΔ(ı) for all ı,ȷΩ, then Δ=(ϖΔ,ξΔ) is an IFhI of Ω (Satyanarayana, Madhavi, & Prasad, BB1).

Definition 1.9 Let (ϖΔ,ξΔ) be an IFS in a BCK-algebra Ξ and a,bΞ. Then, the IFS <(ϖΔ,ξΔ),(a,b)> defined by <(ϖΔ,ξΔ),(a,b)>=(<ϖΔ,a>,<ξΔ,b>) is called the extension of (ϖΔ,ξΔ) by (ab). If a=b, then it is denoted by <(ϖΔ,ξΔ),a>.

3. Intuitionistic fuzzy p-ideal

An IFSΔ=(ϖΔ,ξΔ) in Ω is called an “intuitionistic fuzzy p-ideal” (IFpI) of Ω if it satisfies:(IF-PI-1)ϖΔ(0)ϖΔ(ı)andξΔ(0)ξΔ(ı),for allıΩ(IF-PI-2)ϖΔ(ı)min{ϖΔ((ı·)·(ȷ·)),ϖΔ(ȷ)}(IF-PI-3)ξΔ(ı)max{ξΔ((ı·)·(ȷ·)),ξΔ(ȷ)}for allı,ȷ,Ω.Example 1.10 Let Ω={0,ı,ȷ,} be a BCI-algebra defined by the following Cayley table:

Define an IFSΔ=(ϖΔ,ξΔ) in Ω as:ϖΔ(0)=ϖΔ()=1,ϖΔ(ı)=ϖΔ(ȷ)=tandξΔ(0)=ξΔ()=0,ξΔ(ı)=ξΔ(ȷ)=s

where s,t(0,1) and s+t1.

By routine calculations, it is easy to verify that IFSΔ=(ϖΔ,ξΔ) is an IFpI of Ω.

An IFSΔ=(ϖΔ,ξΔ) in Ω is called an “intuitionistic fuzzy closed p-ideal” (or IFCpI) of Ω if it satisfies (IF-PI-2), (IF-PI-3) and (IF-PI-4)ϖΔ(0·ı)ϖΔ(ı) and ξΔ(0·ı)ξΔ(ı), for all ıΩ.

Theorem 1.11 Any IFpI of Ω is an IFI of Ω.

Proof Assume that IFSΔ=(ϖΔ,ξΔ) is an intuitionistic fuzzy p-ideal of X. Then by definition, we have:ϖΔ(x)min{ϖΔ((xz)(yz)),ϖΔ(y)}ξΔ(x)max{ξΔ((xz)(yz)),ξΔ(y)}for allx,yX.

putting z = 0, we getϖΔ(x)min{ϖΔ((x0)(y0)),ϖΔ(y)}ξΔ(x)max{ξΔ((x0)(y0)),ξΔ(y)}imply:ϖΔ(x)min{ϖΔ(xy),ϖΔ(y)}ξΔ(x)max{ξΔ(xy),ξΔ(y)}

Hence, IFSΔ=(ϖΔ,ξΔ) is an IFI of Ω.

Whereas, the converse of this theorem may not be true. For this, consider the following example.

Example 1.12 Consider the BCI-algebra Ω={0,ı,ȷ,,} with the following Cayley table:

Define an IFSΔ=(ϖΔ,ξΔ) in Ω by:ϖΔ(0)=ϖΔ(ȷ)=1,ϖΔ(ı)=ϖΔ()=ϖΔ()=tξΔ(0)=ξΔ(ȷ)=0,ξΔ(ı)=ξΔ()=ξΔ()=s

where s,t(0,1) and s+t1.

By routine calculations, it is easy to verify that IFSΔ=(ϖΔ,ξΔ) is an IFI of Ω, but it is not an IFpI of Ω because:ϖΔ()=t<1=ϖΔ(0)=min{α(()(0)),ϖΔ(0)}.Theorem 1.13 Any IFpI of Ω is an intuitionistic fuzzy subalgebra of Ω.

Proof Since any IFpI of Ω is an IFI of Ω and every IFI of Ω is an intuitionistic fuzzy subalgebra of Ω, every IFpI of Ω is an intuitionistic fuzzy subalgebra of Ω. Whereas, the converse is not true and can be examined by considering the Example 3.3.

Theorem 1.14 Let IFSΔ=(ϖΔ,ξΔ) be an IFI of Ω. Then, the following conditions are equivalent:

(1)

IFSΔ=(ϖΔ,ξΔ) is an IFpI of Ω.

(2)

ϖΔ(ı)ϖΔ(0·(0·ı)) and ξΔ(ı)ξΔ(0·(0·ı)).

(3)

ϖΔ(ı)=ϖΔ(0·(0·ı)) and ξΔ(ı)=ξΔ(0·(0·ı)).

Proof (12) Let IFSΔ=(ϖΔ,ξΔ) be an IFpI of Ω. Then,ϖΔ(ı)min{ϖΔ((ı·)·(ȷ·)),ϖΔ(ȷ)}andξΔ(ı)max{ξΔ((ı·)·(ȷ·)),ξΔ(ȷ)},for anyı,ȷ,Ω.

Now putting =ı and ȷ=0, we getϖΔ(ı)min{ϖΔ((ı·ı)·(0·ı)),ϖΔ(0)}andξΔ(ı)max{ξΔ((ı·ı)·(0·ı)),ξΔ(0)}ϖΔ(ı)ϖΔ(0·(0·ı))andξΔ(ı)ξΔ(0·(0·ı)).(23) Let ϖΔ(ı)ϖΔ(0·(0·ı)) and ξΔ(ı)ξΔ(0·(0·ı)).

Since by 1.2.2, 0·(0·ı)ı.

Therefore by Lemma 2.7,ϖΔ(0·(0·ı))ϖΔ(ı)andξΔ(0·(0·ı))ξΔ(ı).

Therefore, we haveϖΔ(ı)=ϖΔ(0·(0·ı))andξΔ(ı)=ξΔ(0·(0·ı)).

which is the required condition.

(31) Let ϖΔ(ı)=ϖΔ(0·(0·ı)) and ξΔ(ı)=ξΔ(0·(0·ı)).

Now(0·(0·ı))·((ı·)·(ȷ·))=(0·((ı·)·(ȷ·)))·(0·ı)=((0·(ı·))·(0·(ȷ·)))·(0·ı)=((0·(ı·))·(0·ı))·(0·(ȷ·))=(((0·ı)·(0·))·(0·ı))·((0·ȷ)·(0·))=(((0·ı)·(0·ı))·(0·))·((0·ȷ)·(0·))=(0·(0·))·((0·ȷ)·(0·))0·(0·ȷ)(By1.2.11)(0·(0·ı))·((ı·)·(ȷ·))0·(0·ȷ)

Therefore by using Lemma 2.6, we getϖΔ(0·(0·ı))min{ϖΔ((ı·)·(ȷ·)),ϖΔ(0·(0·ȷ))}andξΔ(0·(0·ı))max{ξΔ((ı·)·(ȷ·)),ξΔ(0·(0·ȷ))}

Since ϖΔ(0·(0·ȷ))ϖΔ(ȷ) and ξΔ(0·(0·ȷ))ξΔ(ȷ)

Thus, we getϖΔ(0·(0·ı))min{ϖΔ((ı·)·(ȷ·)),ϖΔ(ȷ)}andξΔ(0·(0·ı))max{ξΔ((ı·)·(ȷ·)),ξΔ(ȷ)}

that isϖΔ(ı)min{ϖΔ((ı·)·(ȷ·)),ϖΔ(ȷ)}andξΔ(ı)max{ξΔ((ı·)·(ȷ·)),ξΔ(ȷ)}

Hence, IFSΔ=(ϖΔ,ξΔ) is an IFpI of Ω.

Lemma 1.15 An IFSΔ=(ϖΔ,ξΔ) is an IFpI of Ω if and only if ϖΔ and ξΔ¯ are fuzzy p-ideals of Ω.

Proof Suppose that IFSΔ=(ϖΔ,ξΔ) is an IFpI of Ω. Then,ϖΔ(0)ϖΔ(ı)andξΔ(0)ξΔ(ı)

Also ϖΔ(ı)min{ϖΔ((ı·)·(ȷ·)),ϖΔ(ȷ)} and ξΔ(ı)max{ξΔ((ı·)·(ȷ·)),ξΔ(ȷ)} for all ı,ȷΩ.

Then, clearly ϖΔ is a fuzzy p-ideal of Ω.ξΔ(0)ξΔ(ı)1-ξΔ¯(0)1-ξΔ¯(ı)ξΔ¯(0)ξΔ¯(ı)

Moreover,ξΔ(ı)max{ξΔ((ı·)·(ȷ·)),ξΔ(ȷ)}1-ξΔ¯(ı)max{1-ξΔ¯((ı·)·(ȷ·)),1-ξΔ¯(ȷ)}ξΔ¯(ı)1-max{1-ξΔ¯((ı·)·(ȷ·)),1-ξΔ¯(ȷ)}ξΔ¯(ı)min{ξΔ¯((ı·)·(ȷ·)),ξΔ¯(ȷ)}

Hence, ξΔ¯ is also a fuzzy p-ideal of Ω.

Conversely, suppose that ϖΔ and ξΔ¯ are fuzzy p-ideals of Ω. Then ϖΔ(0)ϖΔ(ı) and ξΔ¯(0)ξΔ¯(ı). Also ϖΔ(ı)min{ϖΔ((ı·)·(ȷ·)),ϖΔ(ȷ)} and ξΔ¯(ı)min{ξΔ¯((ı·)·(ȷ·))),ξΔ¯(ȷ)}.

Then, ξΔ¯(0)ξΔ¯(ı)1-ξΔ(0)1-ξΔ(ı)ξΔ(0)ξΔ(ı).

AlsoξΔ¯(ı)min{ξΔ¯((ı·)·(ȷ·)),ξΔ¯(ȷ)}1-ξΔ(ı)min{1-ξΔ((ı·)·(ȷ·)),1-ξΔ(ȷ)}ξΔ(ı)1-min{1-ξΔ((ı·)·(ȷ·)),1-ξΔ(ȷ)}ξΔ(ı)max{ξΔ((ı·)·(ȷ·)),ξΔ(ȷ)}.

Hence, IFSΔ=(ϖΔ,ξΔ) an IFpI of Ω.

Lemma 1.16 An IFSΔ=(ϖΔ,ξΔ) is an IFCpI of a BCI-algebra Ω if and only if ϖΔ and ξΔ¯ are fuzzy closed p-ideals of Ω.

Proof Suppose that IFSΔ=(ϖΔ,ξΔ) is an IFCpI of Ω. Then, it satisfies (IF-PI-2), (IF-PI-3), and (IF-PI-4); that is ϖΔ(0·ı)ϖΔ(ı) and ξΔ(0·ı)ξΔ(ı) for all ıΩ.

Then, it is clear that ϖΔ is fuzzy closed p-ideal of Ω. For ξΔ¯ it can be easily verified as done earlier in Lemma that ξΔ¯(ı)min{ξΔ¯((ı·)·(ȷ·)),ξΔ¯(ȷ)} for all ı,ȷ,Ω. It is therefore required to show only β¯(0·ı)β¯(ı).

Since β(0·ı)β(ı)1-ξΔ¯(0·ı)1-ξΔ¯(ı)ξΔ¯(0·ı)ξΔ¯(ı)ξΔ¯ is also a fuzzy closed p-ideal of Ω.

Conversely, let ϖΔ and ξΔ¯ be fuzzy closed p-ideals of Ω. Then, ϖΔ(0·ı)ϖΔ(ı) and ξΔ¯(0·ı)ξΔ¯(ı) for all ıΩ.ξΔ¯(0·ı)ξΔ¯(ı)1-ξΔ(0)1-ξΔ(ı)ξΔ(0)ξΔ(ı).

Moreover, ϖΔ(ı)min{ϖΔ((ı·)·(ȷ·)),ϖΔ(ȷ)} and ξΔ¯(ı)min{ξΔ¯((ı·)·(ȷ·)),ξΔ¯(ȷ)}ξΔ¯(ı)min{ξΔ¯((ı·)·(ȷ·)),ξΔ¯(ȷ)}1-ξΔ(ı)min{1-ξΔ((ı·)·(ȷ·)),1-ξΔ(ȷ)}ξΔ(ı)1-min{1-ξΔ((ı·)·(ȷ·)),1-ξΔ(ȷ)}ξΔ(ı)max{ξΔ((ı·)·(ȷ·)),ξΔ(ȷ)}.

Hence, IFSΔ=(ϖΔ,ξΔ) is an IFCpI of Ω.

Theorem 1.17 An IFSΔ=(ϖΔ,ξΔ) is an IFpI of Ω if and only if Δ=(ϖΔ,ϖΔ¯) and Δ=(ξΔ¯,ξΔ) are IFpIs of Ω.

Proof Suppose that IFSΔ=(ϖΔ,ξΔ) is an IFpI of a Ω. Then by Lemma , ϖΔ and ξΔ¯ are fuzzy p-ideals of Ω, i.e. α¯¯=ϖΔ and ξΔ¯ are fuzzy p-ideals of Ω. Therefore by Lemma 3.6, Δ=(ϖΔ,ϖΔ¯) and Δ=(ξΔ¯,ξΔ) are IFpIs of Ω.

Conversely, suppose that Δ=(ϖΔ,ϖΔ¯) and Δ=(ξΔ¯,ξΔ) are IFpIs of Ω. Then by Lemma , ϖΔ and ξΔ¯ are fuzzy p-ideals of Ω. Therefore by Lemma 3.6, IFSΔ=(ϖΔ,ξΔ) is an IFpI of Ω.

Theorem 1.18 An IFSΔ=(ϖΔ,ξΔ) is an IFCpI of Ω if and only if Δ=(ϖΔ,ϖΔ¯) and Δ=(ξΔ¯,ξΔ) are IFCpIs of Ω.

Proof Suppose that IFSΔ=(ϖΔ,ξΔ) is an IFCpI of Ω. Then by Lemma , ϖΔ and ξΔ¯ are fuzzy closed p-ideals of Ω, i.e. α¯¯=ϖΔ and ξΔ¯ are fuzzy closed p-ideals of Ω. Therefore by Lemma 3.7, Δ=(ϖΔ,ϖΔ¯) and Δ=(ξΔ¯,ξΔ) are IFCpIs of Ω.

Conversely, suppose that Δ=(ϖΔ,ϖΔ¯) and Δ=(ξΔ¯,ξΔ) are IFCpIs of Ω. Then by Lemma 3.7, ϖΔ and ξΔ¯ are fuzzy closed p-ideals of Ω. Therefore by Lemma 3.7, IFSΔ=(ϖΔ,ξΔ) is an IFCpI of Ω.

The transfer principle for fuzzy sets described in Kondo and Dudek (KD1) suggests the following theorem.

Theorem 1.19 An IFSΔ=(ϖΔ,ξΔ) is an IFpI of Ω if and only if the non-empty upper t-level cut U(ϖΔ;t) and the non-empty lower s-level cut L(ξΔ;s) are p-ideals of Ω for any s,t[0,1].

Proof Suppose that an IFSΔ=(ϖΔ,ξΔ) is an IFpI of a Ω. Since U(ϖΔ;t) , L(ξΔ;s). So for any ıU(ϖΔ;t) we have ϖΔ(ı)tϖΔ(0)ϖΔ(ı)t0U(ϖΔ;t). Now let ((ı·)·(ȷ·))U(ϖΔ;t) and ȷU(ϖΔ;t). Then, ϖΔ((ı·)·(ȷ·))t and ϖΔ(ȷ)t. Since ϖΔ(ı) min{ϖΔ((ı·)·(ȷ·)),ϖΔ(ȷ)}tıU(ϖΔ;t)U(ϖΔ;t) is p-ideal of Ω. Similarly, we can prove that L(ξΔ;s) is a p-ideal of Ω.

Conversely, suppose that the non-empty upper t-level cut U(ϖΔ;t) and the non-empty lower s-level cut L(ξΔ;s) are p-ideals of Ω for any s,t[0,1]. If possible, assume that there exists some ı0Ω such that ϖΔ(0)<ϖΔ(ı0) and ξΔ(0)>ξΔ(ı0).

Put t0=1/2{ϖΔ(0)+ϖΔ(ı0)}, then ϖΔ(0)<t0<ϖΔ(ı0)ı0U(ϖΔ;t0) and 0 does not belong to U(ϖΔ;t0) which is a contradiction to the fact that U(ϖΔ;t0) is a p-ideal of Ω. Therefore, we must have ϖΔ(0)ϖΔ(ı) for all ıΩ. Similarly, by putting s0=1/2{ξΔ(0)+ξΔ(ı0)}, we can prove that ξΔ(0)ξΔ(ı) for all ıΩ.

If possible, assume that there exists some ı0,ȷ0,0Ω such that p=ϖΔ(ı0)<min{ϖΔ((ı0·0)·(ȷ0·0)),ϖΔ(ȷ0)}=q.

Put t0=1/2{p+q}, then p<t0<q(ı0·0)·(ȷ0·0)U(ϖΔ;t0) and ȷ0U(ϖΔ;t0), whereas ı0 does not belong to U(ϖΔ;t0) which is a contradiction to the fact that U(ϖΔ;t0) is a p-ideal of Ω. Therefore, ϖΔ(ı) min{ϖΔ((ı·)·(ȷ·)),ϖΔ(ȷ)} for all ı,ȷ,Ω. Similarly, we can prove that ξΔ(ı)max{ξΔ((ı·)·(ȷ·)),ξΔ(ȷ)} for all ı,ȷ,Ω. Hence, IFSΔ=(ϖΔ,ξΔ) is an IFpI of Ω.

Theorem 1.20 An IFSΔ=(ϖΔ,ξΔ) is an IFCpI of Ω if and only if the non-empty upper t-level cut U(ϖΔ;t) and the non-empty lower s-level cut L(ξΔ;s) are closed p-ideals of Ω for any s,t[0,1].

Proof Suppose that an IFSΔ=(ϖΔ,ξΔ) is an IFCpI of Ω. Then, ϖΔ(0·ı)ϖΔ(ı) and ξΔ(0·ı)ξΔ(ı) for all ıΩ.

Since U(ϖΔ;t) ,L(ξΔ;s). So for any ıU(ϖΔ;t) we have ϖΔ(ı)tϖΔ(0·ı)ϖΔ(ı)t0·ıU(ϖΔ;t). Similarly for any ıL(ξΔ;s), we have ξΔ(ı)sξΔ(0·ı)ξΔ(ı)s0·ıL(ξΔ;s). Hence, U(ϖΔ;t) and L(ξΔ;s) are closed p-ideals of Ω.

Conversely, suppose that the non-empty upper t-level cut U(ϖΔ;t) and the non-empty lower s-level cut L(ξΔ;s) are closed p-ideals of Ω for any s,t[0,1]. We want to show that IFSΔ=(ϖΔ,ξΔ) is an IFCpI of Ω. It is enough to show that ϖΔ(0·ı)ϖΔ(ı) and ξΔ(0·ı)ξΔ(ı) for all ıΩ. If possible, assume that there exists some ı0Ω such that ϖΔ(0·ı0)<ϖΔ(ı0). Take t0=1/2{ϖΔ(0·ı0)+ϖΔ(ı0)}, then ϖΔ(0·ı0)<t0<ϖΔ(ı0)ı0U(ϖΔ;t0), whereas 0·ı0 does not belong to U(ϖΔ;t0) which is a contradiction to the fact that U(ϖΔ;t0) is a closed p-ideal of Ω. Therefore, we must have ϖΔ(0·ı)ϖΔ(ı) for all ıΩ. Similarly, we can prove that ξΔ(0·ı)ξΔ(ı) for all ıΩ. Hence, IFSΔ=(ϖΔ,ξΔ) is an IFCpI of Ω.

Theorem 1.21 Let {IδδΛ} be a collection of p-ideals of Ω such that

(1)

Ω=δΛIδ.

(2)

η>δ if and only if IηIδ for all η,δΛ.

Then, an IFSΔ=(ϖΔ,ξΔ) defined by ϖΔ(ı)=sup{δΛıIδ} and ξΔ(ı)=inf{ηΛıIη} for all ıΩ is an IFpI of Ω.

Proof By Theorem 3.11, it is sufficient to prove that U(ϖΔ;δ) and L(ξΔ;η) are p-ideals of Ω. To prove that U(ϖΔ;δ) is a p-ideal of Ω, we divide the proof into the following two cases:

(1)

δ=sup{ϱΛϱ<δ}

(2)

δϱsup{ϱΛϱ<δ}

The case (1) implies that ıU(ϖΔ;δ)ıIϱ, for all ϱ<δıϱ<δIϱ so that U(ϖΔ;δ)=ϱ<δIϱ which is a p-ideal of Ω.

For the case (2), we claim that U(ϖΔ;δ)=ϱδIϱ. If ıϱδIϱ, then ıIϱ for some ϱδ. It follows that ϖΔ(ı)ϱδ, so that ıU(ϖΔ;δ). This shows that ϱδIϱU(ϖΔ;δ). Now assume that ıϱδIϱ ,then ıIϱ for all ϱδ. Since tsup{ϱΛϱ<δ}, there exists some ϵ>0 such that (δ-ϵ,δ)Λ=. Hence, ıIϱ for all ϱ>δ-ϵ which means that ıIϱ if ϱδ-ϵ<δ. Thus, ϖΔ(ı)δ-ϵ<δ and so ıU(ϖΔ;δ). Therefore, U(ϖΔ;δ)ϱδIϱ and that U(ϖΔ;δ)=ϱδIϱ which is a p-ideal of Ω.

Next, we prove that L(ξΔ;η) is a p-ideal of Ω. For this, we divide the proof into the following two cases:

(1)

η=inf{ςΛη<ς}

(2)

ηinf{ςΛη<ς}

The case (1) implies that ıL(ξΔ;η)ıIς, for all η<ςıη<ςIς so that L(ξΔ;η)=η<ςIς which is a p-ideal of Ω.

For the case (2), we state that L(ξΔ;η)=ςηIς. If ıςηIς, then ıIς for some ςη. Thus, ξΔ(ı)ςη, so that ıL(ξΔ;η). This shows that ςηIςL(ξΔ;η). Now assume that ıςηIς, then ıIς for all ςη. Since ηinf{ςΛη<ς}, ϵ>0 such that (η,η+ϵ)Λ=. Hence, ıIς for all ς<η+ϵ which means that ıIς if ςη+ϵ>η. Thus, ξΔ(ı)η+ϵ>η and so ıL(ξΔ;η). Therefore, L(ξΔ;η)ςηIς and that L(ξΔ;η)=ςηIς which is a p-ideal of Ω. This completes the proof.

Theorem 1.22 If IFSΔ=(ϖΔ,ξΔ) is an IFCpI of Ω, then the sets J={ıΩϖΔ(ı)=ϖΔ(0)} and K={ıXξΔ(ı)=ξΔ(0)} are p-ideals of Ω.

Proof Since 0Ω, ϖΔ(0)=ϖΔ(0) and ξΔ(0)=ξΔ(0) implies 0J and 0K, JΦ and KΦ. Now, let (ı·)·(ȷ·)J and ȷJ. Then, ϖΔ((ı·)·(ȷ·))=ϖΔ(0) and ϖΔ(ȷ)=ϖΔ(0).Since ϖΔ(ı) min{ϖΔ((ı·)·(ȷ·)),ϖΔ(ȷ)}=ϖΔ(0). But ϖΔ(0)ϖΔ(ı). Therefore, ϖΔ(ı)=ϖΔ(0). It follows that ıJ for all ı,ȷ,Ω. Hence, J is a p-ideal of Ω. Similarly, we can prove that K is a p-ideal of Ω.

Definition 1.23 Let f be a mapping on a set X and Δ=(ϖΔ,ξΔ) be an IFS in X. Then, the fuzzy sets u and v on f(X) defined by u(ȷ)=supıf-1(ȷ)ϖΔ(ı) and v(ȷ)=infıf-1(ȷ)ξΔ(ı), for all ȷf(X), are called the images of A under f. If u, v are fuzzy sets in f(X), then the fuzzy sets ϖΔ=uof and ξΔ=vof are called the pre-images of u and v under f.

Theorem 1.24 Let f:XX be an onto homomorphism of BCI-algebras. If Δ=(u,v) is an IFpI of BCI-algebra X, then the pre-image of Δ=(u,v) under f is an IFpI of X.

Proof Let an IFSΔ=(ϖΔ,ξΔ) where ϖΔ=uof and ξΔ=vof be the pre-image of Δ=(u,v) under f. Since Δ=(u,v) is an IFpI of X, we have u(0)u(f(ı))=ϖΔ(ı) and v(0)v(f(ı))=ξΔ(ı). On the other hand, u(0)=u(f(0))=ϖΔ(0) and v(0)=v(f(0))=ξΔ(0). Therefore, ϖΔ(0)ϖΔ(ı) and ξΔ(0)ξΔ(ı), for all ıX. Now we show that ϖΔ(ı) min{ϖΔ((ı·)·(ȷ·)),ϖΔ(ȷ)} and ξΔ(ı)max{ξΔ((ı·)·(ȷ·)),ξΔ(ȷ)} for all ı,ȷ,X.

Now ϖΔ(ı)=u(f(ı))=u(f(ı)) min{u((f(ı)·)(ȷ·)),u(ȷ)} for all ȷ,X.

Since f is an onto homomorphism, there exists some ȷ,X such that f(ȷ)=ȷand f()=, respectively. Thus, ϖΔ(ı)min{u((f(ı)·f())·(f(ȷ)·f())),u(f(ȷ)}min{u(f((ı·)·(ȷ·))),u(f(ȷ))}=min{ϖΔ((ı·)·(ȷ·)),ϖΔ(ȷ)}.

Therefore, the result ϖΔ(ı)min{ϖΔ((ı·)·(ȷ·)),ϖΔ(ȷ)} is true for all ı,ȷ,X because ȷ, are arbitrary elements of X and f is an onto mapping. Similarly, we can prove that ξΔ(ı)max{ξΔ(((ı·)·(ȷ·)),ξΔ(ȷ)} for all ı,ȷ,X.

Hence, the pre-image IFSΔ=(ϖΔ,ξΔ) of Δ=(u,v) under f is an IFpI of X.

Definition 1.25 Let θ:ΩΥ be a homomorphism of BCI-algebras. For any IFSΔ=(ϖΔ,ξΔ) in Υ, we define a new IFSΔθ=(ϖΔθ,ξΔθ) in Ω by ϖΔθ(ı)=ϖΔ(θ(ı)), ξΔθ(ı)=ξΔ(θ(ı)) for all ıΩ. If θ:ΩΥ is a homomorphism of BCI-algebras, then θ(0)=0.

Theorem 1.26 Let θ:ΩΥ be a homomorphism of BCI-algebras. If an IFSΔ=(ϖΔ,ξΔ) in Υ is an IFpI of Υ, then the IFSΔθ=(ϖΔθ,ξΔθ) in Ω is an IFpI of Ω.

Proof We first have thatϖΔθ(ı)=ϖΔ(θ(ı))ϖΔ(0)=ϖΔ(θ(0))=ϖΔθ(0)ϖΔθ(ı)ϖΔθ(0)ξΔθ(ı)=ξΔ(θ(ı))ξΔ(0)=ξΔ(θ(0))=ξΔθ(0)ξΔθ(ı)ξΔθ(0).

Let ı,ȷ,Ω. Thenmin{ϖΔθ((ı·)·(ȷ·)),ϖΔθ(ȷ)}=min{ϖΔ(θ((ı·)·(ȷ·))),ϖΔ(θ(ȷ))}=min{ϖΔ((θ(ı)·θ())·(θ(ȷ)·θ())),ϖΔ(θ())}ϖΔ(θ(ı))=ϖΔθ(ı).

Similarly,max{ξΔθ((ı·)·(ȷ·)),ξΔθ(ȷ)}=max{ξΔ(θ((ı·ȷ)·(ȷ·))),ξΔ(θ(ȷ))}=max{ξΔ((θ(ı)·θ())·(θ(ȷ)·θ())),ξΔ(θ(ȷ))}ξΔ(θ(ı))=ξΔθ(ı).

Hence, IFSΔθ=(ϖΔθ,ξΔθ) in Ω is an IFpI of Ω.

Theorem 1.27 Let θ:ΩΥ be an epimorphism of BCI-algebras and IFSΔ=(ϖΔ,ξΔ) be in Υ. If IFSΔθ=(ϖΔθ,ξΔθ) is an IFpI of Ω, then IFSΔ=(ϖΔ,ξΔ) is an IFpI of Υ.

Proof For any ı,ȷ,Υ,  ,I,ϑΩ, s.t, θ()=ı, θ(I)=ȷ, θ(ϑ)=.

Then for any ıΥ,ϖΔ(ı)=ϖΔ(θ())=ϖΔθ()ϖΔθ(0)=ϖΔ(θ(0))=ϖΔ(0)ϖΔ(ı)ϖΔ(0)ξΔ(ı)=ξΔ(θ())=ξΔθ()ξΔθ(0)=ξΔ(θ(0))=ξΔ(0)ξΔ(ı)ξΔ(0)

NowϖΔ(ı)=ϖΔ(θ())=ϖΔθ()min{ϖΔθ((·ϑ)·(I·ϑ)),ϖΔθ(I)}=min{ϖΔ(θ((·ϑ)·(I·ϑ))),ϖΔ(θ(I))}=min{ϖΔ((θ()·θ(ϑ))·((θ(I)·θ(ϑ)))),ϖΔ(θ(I))}=min{ϖΔ((ı·)·(ȷ·)),ϖΔ(ȷ)}.

Similarly,ξΔ(ı)=ξΔ(θ())=ξΔθ()max{ξΔθ((·ϑ)·(I·ϑ)),ξΔθ(I)}=max{ξΔ(θ((·ϑ)·(I·ϑ))),ξΔ(θ(I))}=max{ξΔ((θ()·θ(ϑ))·((θ(I)·θ(ϑ)))),ξΔ(θ(I))}=max{ξΔ((ı·)·(ȷ·)),ξΔ(ȷ)}for allı,ȷ,Υ.

Hence, IFSΔ=(ϖΔ,ξΔ) is an IFpI of Υ.

A BCK-algebra Ω is said to be positive implicative if it satisfies for all ı,ȷ,Ω:(ı)(ȷ)=(ıȷ).Theorem 1.28 Let an IFSΔ=(ϖΔ,ξΔ) be IFpI of a “positive implicative BCK-algebra” Ξ and u,vΞ. Then, the extension <(ϖΔ,ξΔ),(u,v)> of (ϖΔ,ξΔ) by (u,v) is also an IFpI of Ξ.

Proof Let IFSΔ=(ϖΔ,ξΔ) be IFpI of a “positive implicative BCK-algebra” Ξ and ,IΞ. Let ı,ȷΞ. Then, we have<ϖΔ,>(0)=ϖΔ(0·)=ϖΔ(0)ϖΔ(ı·)=<ϖΔ,>(ı)and<ξΔ,I>(0)=ξΔ(0·I)=ξΔ(0)ξΔ(ı·I)=<ξΔ,I>(ı).

Moreover, <ϖΔ,>(ı)=ϖΔ(ı·)min{ϖΔ((((ı·)·(·))·(ȷ·)·(·))),ϖΔ(ȷ·)}=min{ϖΔ(((ı·)·(ȷ·))·),ϖΔ(ȷ·})=min{<ϖΔ,>((ı·)·(ȷ·)),<ϖΔ,>(ȷ)}.

Similarly, <ξΔ,I>(ı)=ξΔ(ı·)max{ξΔ((((ı·)·(·))·(ȷ·)·(·))),ξΔ(ȷ·I)}=max{ξΔ(((ı·)·(ȷ·))·),ξΔ(ȷ·I)}=max{<ξΔ,I>((ı·)·(ȷ·)),<ξΔ,I>(ȷ)}.

Hence, the extension <(ϖΔ,ξΔ),(,I)> of (ϖΔ,ξΔ) by (,I) is an IFpI of Ξ.

Corollary 1.29 Let an IFSΔ=(ϖΔ,ξΔ) be IFpI of a “positive implicative BCK-algebra” Ξ and Ξ. Then, the extension <(ϖΔ,ξΔ),> of (ϖΔ,ξΔ) by is also an IFpI of Ξ.

Additional information

Funding

The authors received no direct funding for this research.

Notes on contributors

Muhammad Touqeer

This article is an application of intuitionistic fuzzy sets to p-ideals in BCI-algebras. We have also worked out applications of intuitionistic fuzzy sets to BCI-commutative, BCI-implicative, and BCI-positive implicative ideals in BCI-algebras and discussed their relationship. Moreover, the study has been extended by applying hyperstructures and soft sets to these ideals.

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