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Research Article

Fuzzy Closed Filters in Bounded BE-Algebras

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Article: 2084477 | Received 21 Mar 2022, Accepted 25 May 2022, Published online: 23 Jun 2022

ABSTRACT

In this paper we use the method of fuzzification of crisp set to fuzzy set as extension of crisp set to fuzzy set. In particular the concepts of fuzzy closed filters of a bounded BE-algebra are introduced; and also some related properties are investigated. As a result a new concept of fuzzy closed filters of a bounded BE-algebras are discussed. Using the idea of fuzzy closed filters of a bounded BE-algebras, some related properties are investigated. In general characterization theorems that related fuzzy closed filters and fuzzy filter are proved. Furthermore, characterization theorem that relate closed filter and fuzzy closed filter in abounded BE-algebra is investigated.

2010 AMS Classification:

Introduction

Kim and Kim (Citatione-2006) introduced a class of BE-algebras and it was observed that these classes of BE-algebra are a generalization of BCK-algebras. The concept of ideals of BE-algebras was introduced by Ahn and So (Citation2008) and then derived various characterizations of ideals, and introduced the notion of ideals of BE-algebras and proved several characterizations of such ideals (Ahn and So Citation2009).

The concepts of a fuzzy set and a fuzzy relation on a set were initially defined by Zadeh (Citation1965). Song, Jun, and Lee (Citation2010) discussed the fuzzy ideals in BE- algebras. The concept of closed ideals of B- algebras was introduced by Senapati, Bhowmik and they discussed fuzzy closed ideals of B- algebras with interval valued membership function (Senapati, Bhowmik, and Pal Citation2013). A. Walendziak (Citatione-2008) studied commutative BE-algebras. Kim (Citation2010) discussed a note on BE-algebras. In 2012 fuzzy completely closed ideal of a BH-algebra was discussed by Abbass and Dahham (Citation2012). Dymek and Walendziak (Citation2013) studied fuzzy filters in a BE-algebra. On a fuzzy completely closed filter with respect of an element in a BH-algebra was introduced by Abdalhussein (Citation2017), and Ciloglue and Ceven (Citation2013) was introduced Commutative and Bounded BE- algebras.

The Concepts of Hilbert Implication algebra and generalized Hilbert Implication algebra were introduced in Dejen (Citation2021).

The main objective of this research paper is introducing new idea by investigating closed filters in a bounded BE-algebra with fuzzyfication to fuzzy closed filter in abounded BE-algebra with additional properties. In particular we dealt with the concepts of fuzzy closed filters of BE- algebras with some other additional properties .

Preliminaries

In this paper we used the method introduced in BE-algebra,bounded BE-algebra, filters and fuzzy filters of BE-Algebra with inclusion of closure property.

BE-Algebras

Definition 2.1 (Kim and Kim e-Citatione-2006) An algebra (X,,1) of type (2,0) is called a BE-algebra if it satisfies the following conditions

1. xx=1, for all xX

2. x1=1, for all xX

3. 1x=x, for all xX

4. x(yz)=y(xz), for all x,y,zX.

A relation on a BE-algebra X by xy if and only if xy=1 for all x,yX.

Theorem 2.2 (Kim Citation2010) Let (X, , 1) be a BE-algebra. Then we have the following:

(a) x(yx)=1,x,yX.

(b) x((xy)y)=1,x,yX.

Definition 2.3 (Walendziak e-Citatione-2008) A BE – algebra X is called commutative BE- algebra if (xy)y=(yx)x, for all x,yX.

Definition 2.4 (Kim and Kim e-Citatione-2006) A BE- algebra (X,,1) is said to be self-distributive if x(yz)=(xy)(xz), for all x,y,zX.

Example 2.5 (Kim and Kim e-Citatione-2006) Let X={1,2,3,4,5} be a set with the following table

Hence (X,,1) is a BE – algebra satisfying self- distributivity.

Definition 2.6 (Ahn and So Citation2008) A BE -algebra (X,,1) is said to be a transitive BE-algebra if it satisfies the condition yz(xy)(xz) for all x,y,zX.

Example 2.7 (Mukkamala Citation2018) Let X={1,a,b,c} be a set. Define a binary operation on X as follows

Hence (X,,1) is a transitive BE- algebra.

Proposition 2.8 (Ahn and So Citation2008) If X is a self- distributive BE-algebra, then it is transitive, but the converse is not true.

Bounded BE – Algebra

Definition 2.9 (Ciloglue and Ceven Citation2013) Let X be a BE- algebra. If there exists 0 satisfying 0x and 0x=1 for all xX, then the element 0 is called a unit of X.

A BE- algebra with unit is called a bounded BE- algebra.

Example 2.10 (Ciloglue and Ceven Citation2013) Let X={1,p,q,r,s,0} be a set with the following table

Hence (X,,1) is a bounded BE- algebra.

Proposition 2.11 Every bounded BE- algebra is a BE- algebra, but the converse may not be true.

Proof. Suppose X be a bounded BE- algebra. Then we want to show that X is a BE- algebra.

Since X is a bounded BE- algebra implies it satisfies the following properties. (BE1) xx=1, for all xX

(BE2) x1=1, for all xX

(BE3) 1x=x, for all xX

(BE4) x(yz)=y(xz), for all x,y,zX

Hence X is a BE- algebra.

To show the converse, we apply the following counter example.

Let X={1,a,b,0} be a set with the following table

Then (X,,1) is a BE- algebra, but it is not a bounded BE- algebra.

Definition 2.12 (Mukkamala Citation2018) Let X be a bounded BE – algebra. A non-empty subset S of X is said to be a sub algebra of X if xyS for all x,yS.

Filters and Fuzzy Filters of BE – Algebras

Definition 2.13 (Kim and Kim e-Citatione-2006) Let (X,,1) be a BE-algebra and let F be a non-empty subset of X. Then F is said to be a filter of X if

(F1)1F,

(F2) If xF and xyF, then yF.

Example 2.14 Let X={1,a,b,c,d,0} be a set. Define a binary operation on X as follows

Hence (X,,1) is a BE- algebra.

Let F1={1,a,b} and F2={1,a} be a subset of X. Then F1 is a filter of X where as F2 is not a filter of X, because ab=aF2 but bF2.

Definition 2.15 (Mukkamala Citation2018) A fuzzy set η in a BE-algebra X is called a fuzzy filter of X if it satisfies:

(FF1) η(1)η(x), f or all xX,

(FF1) η(y) min {η(x),η(xy)}, x,yX.

Main Results

Fuzzy Closed Filter of Bounded BE- Algebra

Definition 3.1 Let X be a bounded BE- algebra. A fuzzy set η in a bounded BE- algebra X is called a fuzzy closed filter of X if it satisfies the following conditions for all x,yX:

1. η(1)η(x), xX.

2. η(y) min {η(x),η(xy)}, x,yX.

3. η(0x)η(x), xX.

Proposition 3.2 Every fuzzy closed filter of a bounded BE – algebra is a fuzzy filter of a BE – algebra, but the converse is not true.

Proof. Suppose that η be a fuzzy closed filter of a bounded BE – algebra X. We need to show that η is a fuzzy filter of a BE – algebra X.

Let xX and 0X0xX, and η is a fuzzy closed filter of a bounded BE – algebra X.

η(0x)η(x).

η(1)η(x), since 0x=1.

Hence,

(3.1) η(1)η(x).(3.1)

Let x,yX and η is a fuzzy closed filter of a bounded BE – algebra X.

Then

(3.2) η(y)min{η(x),η(xy)},x,yX.(3.2)

Hence η is a fuzzy filter of a BE – algebra X.

Conversely, suppose η be a fuzzy filter of a BE – algebra X. We want to show that η is not a fuzzy closed filter of a bounded BE – algebra X.

Assume η be a fuzzy filter of a BE – algebra X and xX.

Now, η(1)η(x) η(0x)η(x), since 1=0x,xX .

It follows that, 0x. Since xX 0X.

Which is a contradiction with 0X. Hence, η(0x)η(x) does not hold.

Therefore, η is not a fuzzy closed filter of X.

Definition 3.3 Let X be a bounded BE – algebra and let η be a fuzzy closed filter of X. Then ηα={xX:η(x)α}, where α[0,1] is said to be a level set of X or α – cut of X.

Theorem 3.4 Let η be a fuzzy closed filter of a bounded BE – algebra X if and only if its non-empty level subset ηα is a closed filter of X, for all α[0,1].

Proof. Suppose X be a bounded BE – algebra.

Assume that ηα is a closed filter of X, for each α[0,1]. We need to show that η is a fuzzy closed filter of a bounded BE – algebra X.

Let 1ηα and xηα, for each α[0,1].

Now, η(1)α and η(x)α, α[0,1].

Since x1η(1)η(x)α

Hence we have

(3.3) η(1)η(x),xX(3.3)

Let x,yX be such that η(x)=α1 and η(xy)=α2.

Then xηα1 and xyηα2.

Assume α1α2, which implies that ηα2ηα1.

Hence, xyηα1.

Since ηα1 is a closed filter, we have yηα1. Hence η(y)α1.

Now we get η(y)α1= min {α1,α2}= min {η(x),η(xy)}

Hence we have

(3.4) η(y)min{η(x),η(xy)}(3.4)

Let xX be such that η(x)α1. Assume that α1α2.Then η(α2)η(α1). Hence 0xηα1η(0x)α1.

since ηα1 is a closed filter, we have 0ηα1.

Now, η(0x)=η(1)η(x)α1, since 0x=1.

Hence,

(3.5) η(0x)η(x),xX(3.5)

Therefore η is a fuzzy closed filter of a bounded BE – algebra X.

Conversely, suppose η be a fuzzy closed filter of a bounded BE – algebra X. We need to show that ηα is a closed filter of a bounded BE – algebra X.

Let xX, hence η(1)η(x)

η(1)η(x)α

xηα and 1ηα.

Hence we have

(3.6) 1ηα(3.6)

Let x,xyηα. Then η(x)α and η(xy)α.

Since η is a fuzzy closed filter of X, we have η(y)min{η(x),η(xy)}α.

η(y)α
yηα.

Hence we have

(3.7) yηα(3.7)

Let 0,xηα implies that η(0)α and η(x)α. Since η is a fuzzy closed filter of X, we have η(0x)η(x)α.

η(0x)α
0xηα.

Hence we have

(3.8) 0xηα(3.8)

Therefore ηα is a closed filter of a bounded BE – algebra X.

Definition 3.5 Let X be a bounded BE – algebra X. If {ηi|iI} is a family of fuzzy subsets of X, then (iIηi)(x)=inf{ηi(x):iI},xX.

Proposition 3.6 Let (ηi)iI be an indexed family of a closed filter of a bounded BE – algebra X. Then iIηi is a fuzzy closed filter of a bounded BE – algebra X.

Proof. Suppose X be a bounded BE – algebra and let xX. We want to show that iIηi is a fuzzy closed filter of a bounded BE – algebra X. Since ηi is a fuzzy closed filter of X, then we have ηi(1)ηi(x), for each iI.

Now (iIηi)(1)=inf{ηi(1):iI}.

Since ηi(1)ηi(x), implies that inf{ηi(1)}inf{ηi(x)}:iI},xX.

(iIηi)(1)inf{ηi(x):iI},xX.

Now we get inf{ηi(x):iI}=(iIηi)(x),xX.

(iIηi)(1)(iIηi)(x),xX. Hence we have

(3.9) (iIηi)(1)(iIηi)(x),xX.(3.9)

Let x,y,xyiIηi.

Now we get (iIηi)(y)=inf{ηi(y):iI}.

Since ηi(y)min{ηi(xy),ηi(x)}, because ηi is a fuzzy closed filter of X.

Which implies that inf{ηi(y)}inf{min{ηi(xy),ηi(x)}:iI}\break,xX.

(iIηi)(y)inf{min{ηi(xy),ηi(x)}:iI},xX.(iIηi)(y)min{inf{ηi(xy),ηi(x)}:iI},xX.(iIηi)(y)min{inf{ηi(xy)},inf{ηi(x)}:iI},xX.(iIηi)(y)min{(iIηi)(xy),(iIηi)(x)},x,yX.

Hence we have

(3.10) (iIηi)(y)min{(iIηi)(xy),(iIηi)(x)},x,yX.(3.10)

Let 0,xX0xX, hence closurity holds. Assume that xiIηi.

Now we have (iIηi)(0x)=inf{ηi(0x):iI},xX.

Since ηi(0x)ηi(x), because ηi is a fuzzy closed filter of X.

Which implies that inf{ηi(0x)}inf{ηi(x)}:iI},xX.

Now we get (iIηi)(0x)inf{ηi(x)}:iI},xX.

(iIηi)(0x)(iIηi)(x),xX.

Hence we have

(3.11) (iIηi)(0x)(iIηi)(x),xX.(3.11)

Therefore iIηi is a fuzzy closed filter of a bounded BE – algebra X.

Definition 3.7 Let η be a fuzzy subset of a bounded BE – algebra X and λ[0,1]. A fuzzy set ηλ:X[0,1] is defined by ηλ(x)=η(x)λ, for all xX; where indicates the multiplication.

Theorem 3.8 Let η be a fuzzy subset of a bounded BE – algebra X. Then η is a fuzzy closed filter of X if and only if ηλ is a fuzzy closed filter of X for each λ[0,1].

Proof. Let X be abounded BE – algebra.

Suppose η be a fuzzy closed filter of X and let λ[0,1].

We want to show that ηλ is a fuzzy closed filter of X for each λ[0,1].

Now, let xX and λ[0,1].

ηλ(1)=η(1)λ … … . … . by definition 3.3.

Since η is a closed filter of X, implies that η(1)η(x),xX.

Now we get

ηλ(1)=η(1)λ
ηλ(1)η(x)λ,xX.
ηλ(1)ηλ(x),xX.

Hence we have

(3.12) ηλ(1)ηλ(x),xX.(3.12)

Let x,yX and λ[0,1].

Now, ηλ(y)=η(y)λ … … . … . by definition 4.3.4.

Since η is a closed filter of X, implies that η(y) min {η(xy),η(x)},x,yX.

Now we get ηλ(y)=η(y)λ

ηλ(y) min {η(xy),η(x)}λ,x,yX.

ηλ(y) min {η(xy)λ,η(x)λ},x,yX.

ηλ(y) min {ηλ(xy),ηλ(x)},x,yX.

Hence we have

(3.13) ηλ(y)min{ηλ(xy),ηλ(x)},x,yX.(3.13)

Let 0,xX and λ[0,1].

Now we get ηλ(0x)=η(0x)λ … … . … . by definition 3.11.

Since η is a closed filter of X, implies that η(0x)η(x),xX.

Now we have ηλ(0x)=η(0x)λ

ηλ(0x)η(x)λ,xX.
ηλ(0x)ηλ(x),xX.

Hence we have

(3.14) ηλ(0x)ηλ(x),xX.(3.14)

Therefore ηλ is a fuzzy closed filter of a bounded BE – algebra X.

Conversely, suppose X be a bounded BE – algebra and ηλ is a fuzzy closed filter of X, for each λ[0,1].

We want to show that η is a fuzzy closed filter of X.

Let xX, by definition 3.3 we have ηλ(1)=η(1)λ .

Now we have η(1)λ=ηλ(1), since ηλ is a fuzzy closed filter of X, we get ηλ(1)ηλ(x).

Now η(1)λ=ηλ(1)

η(1)ληλ(x),xX, since ηλ is a fuzzy closed filter of X .

η(1)λη(x)λ,xX and for each λ[0,1].

η(1)η(x),xX.

Hence we have

(3.15) η(1)η(x),xX.(3.15)

Let x,yXxyX.

Since ηλ is a fuzzy closed filter of X, we get ηλ(y) min {η(xy)λ,η(x)λ},x,yX and for each λ[0,1].

Since by definition 3.11 η(y)λ=ηλ(y).

Now we have η(y)λ=ηλ(y)

η(y)λ mi{ηλ(xy),ηλ(x)},x,yX and for each λ[0,1].

η(y)λ mi{η(xy)λ,η(x)λ},x,yX and for each λ[0,1].

η(y)λ mi{η(xy),η(x)}λ,x,yX and for each λ[0,1].

Now we have η(y) min {η(xy),η(x)},x,yX.

Hence we have

(3.16) η(y)min{η(xy),η(x)},x,yX.(3.16)

Let 0,xX0xX.

Since ηλ is a fuzzy closed filter of X, we get ηλ(0x)ηλ(x),xX.

Since by definition 3.3 η(0x)λ=ηλ(0x),xX and for each λ[0,1].

Now we have η(0x)λ=ηλ(0x),xX and for each λ[0,1].

η(0x)ληλ(x),xX and for each λ[0,1].

η(0x)λη(x)λ,xX and for each λ[0,1].

Now we have η(0x)η(x),xX.

Hence we have

(3.17) η(0x)η(x),xX.(3.17)

Therefore η is a fuzzy closed filter of a bounded BE – algebra X.

Cartesian Product of Fuzzy Closed Filters of a Bounded BE – Algebras

Definition 3.9 Let X be a bounded BE – algebra, and assume that η and μ be two fuzzy subsets on X. Then the Cartesian product of η and μ, is denoted by η×μ, and defined by (η×μ)(x,y)= min {η(x),μ(y)}, where η×μ:X×X[0,1],\breakx,yX.

Proposition 3.10 Let η and μ be two fuzzy closed filters of a bounded BE- algebra X. Then η×μ is fuzzy closed filters of a bounded BE- algebra X×X.

Definition 3.11 Let η and v be a fuzzy subset in a bounded BE – algebra X. Then the strongest fuzzy relation of η on v is a fuzzy relation on a bounded BE – algebra X, is denoted by ηv, is defined by ηv(x,y)= min {v(x),v(y)},x,yX.

Theorem 3.12 Let v be a fuzzy subset in a bounded BE – algebra X and ηv strongest fuzzy relation on a bounded BE – algebra X.

If v is a fuzzy closed filter of a bounded BE – algebra X, then ηv is a fuzzy closed filter of a bounded BE – algebra X.

Proof. Suppose that X is a bounded BE – algebra and let v is a fuzzy closed filter of X.

We need to show that ηv is a fuzzy closed filter of X×X.

Let (x,y)X×X. Then we have ηv(1,1)= min {v(1),v(1)}. … . by definition 3.9.

Since v is a fuzzy closed filter of X, then we get ηv(1,1) min {v(x),v(y)},x,yX.

Now we have min {v(x),v(y)}=ηv(x,y),x,yX.

Hence we have

(3.18) ηv(1,1)ηv(x,y),x,yX.(3.18)

Let (x,y),(z,w)X×X. Then ηv(x,y)= min {v(x),v(y)}, by definition 3.11.

Now by definition 3.11 we have ηv(x,y)= min {v(x),v(y)}

ηv(x,y) min { min {v(xz),v(z)}, min {v(yw),v(w)}},x,y,z,\breakwX, since v is a fuzzy closed filters of X.

ηv(x,y) min { min {v(xz),v(yw)}, min {v(z),v(w)}},x,y,z,\breakwX, by rearranging the equation.

ηv(x,y) min {ηv(xz,yw),ηv(z,w)},x,y,z,wX, by definition 3.11 .

ηv(x,y) min {ηv((x,y)(z,w)),ηv(z,w)},x,y,z,wX, by the property of .

Hence we have

(3.19) ηv(x,y)min{ηv((x,y)(z,w)),ηv(z,w)},x,y,z,wX.(3.19)

Let (0,0),(x,y)X×X. Then (0x,0y)X×X.

Now by definition 3.11. we have ηv((0,0)(x,y))=ηv(0x,0y),\breakx,yX.

Now we get ηv(0x,0y)= min {v(0x),v(0y)},x,yX, by definition 3.11.

ηv(0x,0y) min {v(x),v(y)},x,yX, since v is a fuzzy closed filters of X.

Now we have ηv(0x,0y)ηv(x,y),x,yX, by definition 3.9.

ηv((0,0)(x,y))ηv(x,y),x,yX.

Hence we have

(3.20) ηv((0,0)(x,y))ηv(x,y),x,yX.(3.20)

Therefore ηv is a fuzzy closed filters of a bounded BE- algebra X×X.

Conclusion

In this paper the concepts of fuzzy closed filters of a bounded BE- algebras are introduced. Different characterization theorems and properties are investigated. Properties of families of fuzzy closed filters of a bounded BE- algebra are elaborated.

The cartesian product in fuzzy closed filters of a bounded BE- algebra with related properties is investigated. The family of intersection in fuzzy closed filters of a bounded BE- algebras is discussed, and also basic properties of family of intersection fuzzy closed filters are investigated.

As future work we will work on completely closed filters of bounded BE-algebra.

Acknowledgments

The authors of this paper would like to thank the referees for their valuable comments for the improvment of the manuscript. We also indicate there is no conflict of interest on this research paper.

Disclosure Statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work is not supported by any organization in any form except the second author supported by as msc student support from Wollo University.

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