generalized anti fuzzy bi-ideals in ordered semigroups

12
ISSN 1995-0802, Lobachevskii Journal of Mathematics, 2010, Vol. 31, No. 1, pp. 65–76. c Pleiades Publishing, Ltd., 2010. Generalized Anti Fuzzy Bi-Ideals in Ordered Semigroups Young Bae Jun 1* , Asghar Khan 2** , Muhammad Shabir 3*** , and Seok Zun Song 4 (Submitted by M.M. Arslanov) 1 Department of Mathematics Education Gyeongsang National University Chinju 660-701, Korea 2 Department of Mathematics COMSATS Institute of IT Abbottabad, Pakistan 3 Department of Mathematics Quaid-i-Azam University Islamabad, Pakistan 4 Department of Mathematics Cheju University, 690-756, Korea Received November 12, 2009 AbstractUsing the notion of anti fuzzy points and its besideness to and non-quasi-coincident with a fuzzy set, new concepts of an anti fuzzy bi-ideals in ordered semigroups are introduced and their inter-relations and related properties are investigated. DOI: 10.1134/S1995080210010105 Key words and phrases: besides to, non-quasi coincidence with, (α, β)-anti fuzzy bi-ideal. 1. INTRODUCTION The concept of a fuzzy set was rst initiated by Zadeh [8]. Since then it has become a vigorous area of research in engineering, medical science, social science, physics, statistics, graph theory, etc. In this paper, we introduce the concept of an anti fuzzy bi-ideal of ordered semigroups by using the notion of anti fuzzy points and besideness to and non-quasi-coincidence with a fuzzy set, and investigate their inter-relations and related properties. 2. PRELIMINARIES An ordered semigroup is a structure (S, ·, ) satisfying the following conditions: (OS1) (S, ·) is a semigroups, (OS2) (S, ) is a poset, (OS3) (a, b, x S )(a b = xa xb and ax bx). Let (S, ·, ) be an ordered semigroup. For A S , we denote (A] := {t S |t h for some h A}. For A, B S , we denote, AB := {ab|a A, b B}. Let A, B S . Then A (A], (A](B] (AB], and ((A]] = (A] [5]. Let S be an ordered semigroup and = G S . Then G is called a subsemigroup of S if G 2 G. A subsemigroup G of an ordered semigroup S is called a bi-ideal of S if (1) GSG G and (2) (x, y S )(y G)(x y = x G) [5]. Denition 2.1. A fuzzy subset A of S is called an anti fuzzy bi-ideal of S if it satises: (i) (x, y S )(x y = ⇒A(x) ≤A(y)), (ii) (x, y S )(A(xy) max{A(x), A(y)}), * E-mail: [email protected] ** E-mail: [email protected] *** E-mail: [email protected] 65

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ISSN 1995-0802, Lobachevskii Journal of Mathematics, 2010, Vol. 31, No. 1, pp. 65–76. c© Pleiades Publishing, Ltd., 2010.

Generalized Anti Fuzzy Bi-Ideals in Ordered Semigroups

Young Bae Jun1*, Asghar Khan2**, Muhammad Shabir3***, and Seok Zun Song4

(Submitted by M.M. Arslanov)1Department of Mathematics Education Gyeongsang National University Chinju 660-701, Korea

2Department of Mathematics COMSATS Institute of IT Abbottabad, Pakistan3Department of Mathematics Quaid-i-Azam University Islamabad, Pakistan

4Department of Mathematics Cheju University, 690-756, KoreaReceived November 12, 2009

Abstract—Using the notion of anti fuzzy points and its besideness to and non-quasi-coincidentwith a fuzzy set, new concepts of an anti fuzzy bi-ideals in ordered semigroups are introduced andtheir inter-relations and related properties are investigated.

DOI: 10.1134/S1995080210010105

Key words and phrases: besides to, non-quasi coincidence with, (α, β)-anti fuzzy bi-ideal.

1. INTRODUCTION

The concept of a fuzzy set was first initiated by Zadeh [8]. Since then it has become a vigorous areaof research in engineering, medical science, social science, physics, statistics, graph theory, etc. In thispaper, we introduce the concept of an anti fuzzy bi-ideal of ordered semigroups by using the notionof anti fuzzy points and besideness to and non-quasi-coincidence with a fuzzy set, and investigatetheir inter-relations and related properties.

2. PRELIMINARIES

An ordered semigroup is a structure (S, ·,≤) satisfying the following conditions:(OS1) (S, ·) is a semigroups,(OS2) (S,≤) is a poset,(OS3) (∀a, b, x ∈ S)(a ≤ b =⇒ xa ≤ xb and ax ≤ bx).Let (S, ·,≤) be an ordered semigroup. For A ⊆ S, we denote

(A] := {t ∈ S|t ≤ h for some h ∈ A}.

For A,B ⊆ S, we denote, AB := {ab|a ∈ A, b ∈ B}. Let A,B ⊆ S. Then A ⊆ (A], (A](B] ⊆ (AB],and ((A]] = (A] [5].

Let S be an ordered semigroup and ∅ �= G ⊆ S. Then G is called a subsemigroup of S if G2 ⊆ G.A subsemigroup G of an ordered semigroup S is called a bi-ideal of S if (1) GSG ⊆ G and (2)(∀x, y ∈ S)(∀y ∈ G) (x ≤ y =⇒ x ∈ G) [5].

Definition 2.1. A fuzzy subset A of S is called an anti fuzzy bi-ideal of S if it satisfies:(i) (∀x, y ∈ S)(x ≤ y =⇒ A(x) ≤ A(y)),(ii) (∀x, y ∈ S)(A(xy) ≤max{A(x),A(y)}),

*E-mail: [email protected]**E-mail: [email protected]

***E-mail: [email protected]

65

66 JUN et al.

(iii) (∀a, x, y ∈ S)(A(xay) ≤max{A(x),A(y)}).Proposition 2.2. Let (S, ·,≤) be an ordered semigroup and A is a fuzzy subset of S. Then A is

an anti fuzzy bi-ideal of S if and only if the complement Ac of A is a fuzzy bi-ideal of S.Proof. =⇒. Suppose that A is an anti fuzzy bi-ideal of S. Let x, y ∈ S be such that x ≤ y. Then

Ac(x) = 1 −A(x) ≥ 1 −A(y) = Ac(y).

For a, x, y ∈ S, we have

Ac(xy) = 1 −A(xy) ≥ 1 − max{A(x),A(y)} = min{1 −A(x), 1 −A(y)} = min{Ac(x),Ac(y)},

Ac(xay) = 1 −A(xay) ≥ 1 − max{A(x),A(y)} = min{1 −A(x), 1 −A(y)} = min{Ac(x),Ac(y)}.

Hence Ac is a fuzzy bi-ideal of S.⇐=. Assume that Ac is a fuzzy bi-ideal of S. Let x, y ∈ S be such that x ≤ y. Then

A(x) = 1 −Ac(x) ≤ 1 −Ac(y) = A(y).

For a, x, y ∈ S we have

A(xy) = 1 −Ac(xy) ≤ 1 − min{Ac(x),Ac(y)} = max{1 −Ac(y), 1 −Ac(y)} = max{A(y),A(y)},

A(xay) = 1 −Ac(xay) ≤ 1 − min{Ac(x),Ac(y)} = max{1 −Ac(y), 1 −Ac(y)}= max{A(y),A(y)}.

Hence A is an anti fuzzy bi-ideal of S. �Given a fuzzy subset A of a set S and for every t ∈ [0, 1], the subsets

C(A; t) := {x ∈ S|A(x) ≤ t} and O(A; t) := {x ∈ S|A(x) < t}are called the closed t-cut and open t-cut of A, respectively.

Theorem 2.3. A fuzzy subset A of an ordered semigroup S is an anti fuzzy bi-ideal of S if andonly if C(A; t) is a bi-ideal of S.

Proof. Suppose that A is an anti fuzzy bi-ideal of S. Let x, y ∈ S be such that x ≤ y. If y ∈ C(A; t)then A(y) ≤ t. Since x ≤ y and A is an anti fuzzy bi-ideal of S, we have A(x) ≤ A(y), and henceA(x) ≤ t =⇒ x ∈ C(A; t). Let x, y ∈ C(A; t) and a ∈ S. Then A(x) ≤ t, and A(y) ≤ t. By (ii) and (iii) ofDefinition 2.1, we have

A(xy) ≤ max{A(x),A(y)} ≤ t, A(xay) ≤ max{A(x),A(y)} ≤ t.

Hence xy ∈ C(A; t) and xay ∈ C(A; t). Thus C(A; t) is a bi-ideal of S.Conversely, assume that C(A; t) is a bi-ideal of S. Let x, y ∈ S be such that x ≤ y. If A(y) <

A(x) then there exists t ∈ (0, 1) such that A(y) ≤ t < A(x). Then y ∈ C(A; t) but x /∈ C(A; t). Thisimpossible and hence A(y) ≤ A(x) for all x, y ∈ S with x ≤ y. Suppose that (ii) is not valid. Then

max{A(x),A(y)} ≤ t < A(xy),

for some x, y ∈ S and t ∈ (0, 1). Then x, y ∈ C(A; t) but xy /∈ C(A; t). This is a contradiction. HenceA(xy) ≤ max{A(x),A(y)} for all x, y ∈ S. Suppose that (iii) is false. Then

max{A(x),A(y)} ≤ t < A(xay),

for some a, x, y ∈ S and t ∈ (0, 1). Then x, y ∈ C(A; t) but xay /∈ C(A; t). This is a contradiction.Therefore A(xay) ≤ max{A(x),A(y)} for all a, x, y ∈ S. �

Example 2.4. Consider the set S = {a, b, c, d, e} with the following multiplication table andorder relation “≤”

(a, e), (b, d), (b, e), (c, e), (d, e)}≤:= {(a, a), (b, b), (c, c), (d, d), (e, e), (a, c), (a, d).

LOBACHEVSKII JOURNAL OF MATHEMATICS Vol. 31 No. 1 2010

GENERALIZED ANTI FUZZY Bi-IDEALS 67

· a b c d e

a a d a d d

b a b a d d

c a d c d e

d a d a d d

e a d c d e

Then S is an ordered semigroup (see [5]) and {a}, {a, b, d} and {a, b, c, d} are bi-ideals of S. Define afuzzy subset A : S −→ [0, 1] by

A(a) = 0.2, A(b) = 0.4, A(c) = 0.5, A(d) = 0.3, A(e) = 0.6.

Then

C(A; t) =

⎧⎪⎪⎪⎪⎪⎪⎨

⎪⎪⎪⎪⎪⎪⎩

S if t ∈ [0.6, 1){a, b, c, d} if t ∈ [0.5, 0.6){a, b, d} if t ∈ [0.4, 0.5){a} if t ∈ [0.2, 0.3)∅ if t ∈ [0, 0.2).

Then C(A; t) is a bi-ideal and by Theorem 2.3, A is an anti fuzzy bi-ideal of S.A fuzzy subset A of a set S of the form

A(y) =

{t ∈ [0, 1) if y = x,

1 otherwise,

is called an anti fuzzy point with support x and value t and is denoted byt

x. A fuzzy subset A of S is

said to be non-unit if there exists x ∈ S such that A(x) < 1.

For an anti fuzzy pointt

xand a fuzzy subset A in a set S, Jun and Song [4] gave meaning to the

symbolt

xαA, where α ∈ {[∈], [q], [∈] ∨ [q], [∈] ∧ [q]}.

To say thatt

x[∈]A(resp.

t

x[q]A) means that A(x) ≤ t(resp. A(x) + t < 1), and in this case,

t

xis said

to be beside to (resp. be non-quasi-coincident with) a fuzzy subset A. To say thatt

x[∈] ∨ [q]A (resp.

t

x[∈] ∧ [q]A) means that

t

x[∈]A or

t

x[q]A (resp.

t

x[∈]A and

t

x[q]A). To say that

t

xαA means that

t

xαA

does not hold.

3. GENERALIZED ANTI FUZZY BI-IDEALS

In what follows let S denote an ordered semigroup unless otherwise specified.Definition 3.1. A fuzzy subset A of S is called an ([∈], [∈])-fuzzy bi-ideal of S if it satisfies:

(i) (∀x, y ∈ S)(∀t ∈ [0, 1))(

x ≤ y,t

y[∈]A =⇒ t

x[∈]A

)

,

(ii) (∀x, y ∈ S)(∀t1, t2 ∈ [0, 1))(

t1x

[∈]A,t2y

[∈]A =⇒max{t1, t2}xy

[∈]A)

,

(iii) (∀x, y, a ∈ S)(∀t1, t2 ∈ [0, 1))(

t1x

[∈]A,t2y

[∈]A =⇒max{t1, t2}xay

[∈]A)

.

LOBACHEVSKII JOURNAL OF MATHEMATICS Vol. 31 No. 1 2010

68 JUN et al.

Theorem 3.2. A fuzzy subset A of S is an ([∈], [∈])-fuzzy bi-ideal of S if and only if it satisfies:(i) (∀x, y ∈ S)(x ≤ y =⇒ A(x) ≤ A(y)),(ii) (∀x, y ∈ S)(A(xy) ≤max{A(x),A(y)}),(iii) (∀x, y, a ∈ S)(A(xay) ≤max{A(x),A(y)}).Proof. Assume that A satisfies the conditions (i), (ii) and (iii). Let x, y ∈ S and t ∈ [0, 1) be such that

x ≤ y andt

y[∈]A. Using (i), we have A(x) ≤ A(y) ≤ t, and so

t

x[∈]A. Let a, x, y ∈ S and t1, t2 ∈ [0, 1)

be such thatt1x

[∈]A andt2y

[∈]A. Then A(x) ≤ t1 and A(y) ≤ t2, which implies from (ii) and (iii) that

A(xy) ≤ max{A(x),A(y)} ≤ max{t1, t2},A(xay) ≤ max{A(x),A(y)} ≤ max{t1, t2}.

Hencemax{t1, t2}

xy[∈]A and

max{t1, t2}xay

[∈]A.

Conversely, assume that a fuzzy subset A of S is an ([∈], [∈])-fuzzy bi-ideal of S. Let x, y ∈ S be

such that x ≤ y. If A(y) < A(x), then there exists t ∈ (0, 1) such that A(y) ≤ t < A(x). Thust

y[∈]A,

butt

x[∈]A. This is impossible, and therefore A(x) ≤ A(y) for all x, y ∈ S with x ≤ y. Suppose that (ii)

is not valid. Thenmax{A(x),A(y)} ≤ t < A(xy)

for some x, y ∈ S and t ∈ (0, 1). It follows thatt

x[∈]A, and

t

y[∈]A, but

t

xy[∈]A. This is a contradicition.

Hence A(xy) ≤ max{A(x),A(y)} for all x, y ∈ S. Finally assume that (iii) is false. Then

max{A(x),A(y)} ≤ t < A(xay),

for every a, x, y ∈ S and t ∈ (0, 1). Hencet

x[∈]A, and

t

y[∈]A, but

t

xay[∈]A. This is a contradiction.

Therefore A(xay) ≤ max{A(x),A(y)} for all a, x, y ∈ S. �Remark 3.3. From Theorem 3.2, it follows that every anti fuzzy bi-ideal of S is an ([∈], [∈])-

fuzzy bi-ideal of S. But the converse is not true.Example 3.4. Consider the ordered semigroup given in Example 2.4, and define a fuzzy subset

A as follows:

A(a) = 0.2, A(b) = 0.4, A(c) = 0.8, A(d) = 0.6, A(e) = 0.5.

Then A is an ([∈], [∈])-fuzzy bi-ideal of S. But A is not an anti fuzzy bi-ideal of S, because

0.6 = A(d) = A(ab) ≤ max{A(a),A(b)} = max{0.2, 0.4} = 0.4.

Definition 3.5. A fuzzy subset A of S is called an ([∈], [∈] ∨ [q])-fuzzy bi-ideal of S if it satisfies:

(i) (∀x, y ∈ S)(∀t ∈ [0, 1))(

x ≤ y,t

y[∈]A =⇒ t

x[∈] ∨ [q]A

)

,

(ii) (∀x, y ∈ S)(∀t1, t2 ∈ [0, 1))(

t1y

[∈]A,t2x

[∈]A =⇒ max{t1, t2}xy

[∈] ∨ [q]A)

,

(iii) (∀a, x, y ∈ S)(∀t1, t2 ∈ [0, 1))(

t1y

[∈]A,t2x

[∈]A =⇒ max{t1, t2}xay

[∈] ∨ [q]A)

.

Theorem 3.6. A fuzzy subset A of S is an ([∈], [∈] ∨ [q])-fuzzy bi-ideal of S if and only if itsatisfies:

(i) (∀x, y ∈ S)(x ≤ y =⇒ A(x) ≤ max{A(y), 0.5}),(ii) (∀x, y ∈ S)(A(xy) ≤ max{A(x),A(y), 0.5}),(iii) (∀a, x, y ∈ S)(A(xay) ≤ max{A(x),A(y), 0.5}).

LOBACHEVSKII JOURNAL OF MATHEMATICS Vol. 31 No. 1 2010

GENERALIZED ANTI FUZZY Bi-IDEALS 69

Proof. Suppose that A satisfies the conditions (i), (ii) and (iii). Let x, y ∈ S, x ≤ y and t ∈ [0, 1) be

such thatt

y[∈]A. Then A(y) ≤ t, by using (i), we have

A(x) ≤ max{A(y), 0.5} ≤ max{t, 0.5}.

Thus A(x) ≤ t or A(x) ≤ 0.5, according to t > 0.5 or t ≤ 0.5. Thust

x[∈] ∨ [q]A. Let a, x, y ∈ S and

t, r ∈ [0, 1) be such thatt

x[∈]A and

r

y[∈]A. Then A(x) ≤ t and A(y) ≤ r and by using (ii) we have

A(xy) ≤ max{A(x),A(y), 0.5} ≥ max{t, r, 0.5},

If max{t, r} < 0.5 then A(xy) ≤ 0.5 and so A(xy) + max{t, r} < 0.5 + 0.5 = 1, and we havemax{t, r}

xy[q]A. If max{t, r} ≥ 0.5 then A(xy) ≤ max{A(x),A(y)} and so

max{t, r}xy

[∈]A and hence

max{t, r}xy

[∈] ∨ [q]A. Let a, x, y ∈ S and t, r ∈ [0, 1) be such thatt

x[∈]A and

r

y[∈]A. Then A(x) ≤ t

and A(y) ≤ r and by using (iii) we have

A(xay) ≤ max{A(x),A(y), 0.5} ≥ max{t, r, 0.5}.

If max{t, r} < 0.5 then A(xay) ≤ 0.5 and so A(xay) + max{t, r} < 0.5 + 0.5 = 1, and we havemax{t, r}

xay[q]A. If max{t, r} ≥ 0.5 then A(xay) ≤ max{A(x),A(y)} and so

max{t, r}xay

[∈]A and hence

max{t, r}xay

[∈] ∨ [q]A.

Conversely, let x, y ∈ S and x ≤ y. We consider the following cases:a) A(y) > 0.5,b) A(y) ≤ 0.5.Case a): Let x, y ∈ S and x ≤ y. Assume that max{A(y), 0.5} < A(x), which implies that A(y) <

A(x). Choose t such that A(y) ≤ t < A(x). Thent

y[∈]A but

t

x[∈]A and so

t

x[∈] ∨ [q]A. This is a

contradiction.Case b): Let x, y ∈ S and x ≤ y. Assume that max{A(y), 0.5} < A(x). Then A(x) > 0.5 and so

0.5y

[∈]A but0.5x

[∈]A and so0.5x

[∈] ∨ [q]A. This is a contradiction. Hence A(x) ≤ max{A(y), 0.5} for

all x, y ∈ S with x ≤ y.Let x, y ∈ S and we consider the following cases:a) max{A(x),A(y)} ≤ 0.5,b) max{A(x),A(y)} > 0.5.

Case a): Let x, y ∈ S be such that max{A(x),A(y), 0.5} < A(xy). Then A(xy) > 0.5,0.5x

[∈]A and

0.5y

[∈]A but0.5xy

[∈] ∨ [q]A. This is a contradiction.

Case b): Let x, y ∈ S be such that max{A(x),A(y), 0.5} < A(xy). Then max{A(x),A(y)} <

A(xy). Choose r ∈ [0, 1) such that max{A(x),A(y), 0.5} ≤ r < A(xy). Thenr

x[∈]A and

r

y[∈]A but

r

xy[∈]A and so

r

xy[∈] ∨ [q]A. This is a contradiciton. Hence A(xy) ≤ max{A(x),A(y), 0.5} for all

x, y ∈ S.Let a, x, y ∈ S and we consider the following cases:a) max{A(x),A(y)} ≤ 0.5,b) max{A(x),A(y)} > 0.5.

LOBACHEVSKII JOURNAL OF MATHEMATICS Vol. 31 No. 1 2010

70 JUN et al.

Case a): Let a, x, y ∈ S be such that max{A(x),A(y), 0.5} < A(xay). Then A(xay) > 0.5,0.5x

[∈]A

and0.5y

[∈]A but0.5xay

[∈]A and so0.5xay

[∈] ∨ [q]A. This is a contradiction.

Case b): Let a, x, y ∈ S be such that max{A(x),A(y), 0.5} < A(xay). Then max{A(x),A(y)} <

A(xay). Choose s ∈ [0, 1) such that max{A(x),A(y), 0.5} ≤ s < A(xay). Thenr

x[∈]A and

r

y[∈]A but

r

xay[∈]A and

r

xay[∈] ∨ [q]A. This is a contradiciton. Hence A(xay) ≤ max{A(x),A(y), 0.5} for all

a, x, y ∈ S. �Remark 3.7. From Theorem 3.6, and Remark 3.3, it follows that every anti fuzzy bi-ideal of S

is an ([∈], [∈] ∨ [q])-fuzzy bi-ideal of S. But the converse is not true.Example 3.8. Consider the ordered semigroup given in Example 2.4, and define a fuzzy subset

A as follows:

A(a) = 0.2, A(b) = 0.4, A(c) = 0.8, A(d) = 0.6, A(e) = 0.5.

Then A is an ([∈], [∈] ∨ [q])-fuzzy bi-ideal of S. But A is not an anti fuzzy bi-ideal of S, because

0.6 = A(d) = A(ab) ≤ max{A(a),A(b)} = max{0.2, 0.4} = 0.4.

In the following Theorem we provide a condition for an ([∈], [∈] ∨ [q])-fuzzy bi-ideal to an ([∈], [∈])-fuzzy bi-ideal.

Theorem 3.9. Let A be an ([∈], [∈] ∨ [q])-fuzzy bi-ideal of S such that A(x) > 0.5 for all x ∈ S.Then A is an ([∈], [∈])-fuzzy bi-ideal of S.

Proof. Let x, y ∈ S, x ≤ y and t ∈ [0, 1) be such thatt

y[∈]A. Then A(y) ≤ t and by (i) of Theorem

3.6, it follows that

A(x) ≤ max{A(y), 0.5} ≤ A(y) ≤ t,

and sot

x[∈]A. Let a, x, y ∈ S and r, s ∈ [0, 1) be such that

r

x[∈]A. and

s

x[∈]A. Then A(x) ≤ r and

A(y) ≤ s. By (ii) and (iii) of Theorem 3.6, it follows that

A(xy) ≤ max{A(x),A(y), 0.5} ≤ max{r, s},A(xay) ≤ max{A(x),A(y), 0.5} ≤ max{r, s}.

Hencemax{r, s}

xy[∈]A and

max{r, s}xay

[∈]A and therefore A is an ([∈], [∈])-fuzzy bi-ideal of S. �

For any fuzzy subset A of S and t ∈ [0, 1), we denote

Q(A; t) :={

x ∈ S

∣∣∣∣t

x[q]A

}

and [A; t] :={

x ∈ S

∣∣∣∣t

x[∈] ∨ [q]A

}

.

Obviously [A; t] = C(A; t) ∪ Q(A; t).In the following Theorem we provide another characterization of ([∈], [∈] ∨ [q])-fuzzy bi-ideal of S by

using the set [A; t].Theorem 3.9. A fuzzy subset A of S is an ([∈], [∈] ∨ [q])-fuzzy bi-ideal of S if and only if [A; t]

is a bi-ideal of S for all t ∈ [0, 1).We call [A; t] an ([∈] ∨ [q])-level bi-ideal of A.Proof. =⇒. Suppose that A is an ([∈], [∈]∨ [q])-fuzzy bi-ideal of S. Let x, y ∈ S, x ≤ y and t ∈ [0, 1)

be such that y ∈ [A; t]. Thent

y[∈]∨ [q]A and so A(y) ≤ t or A(y) + t < 1. Since A is an ([∈], [∈]∨ [q])-

fuzzy bi-ideal of S and x ≤ y we have

A(x) ≤ max{A(y), 0.5},then we have the following cases:

LOBACHEVSKII JOURNAL OF MATHEMATICS Vol. 31 No. 1 2010

GENERALIZED ANTI FUZZY Bi-IDEALS 71

Case 1 A(y) ≤ t. If t ≤ 0.5, then A(x) ≤ 0.5 and so A(x) + t < 0.5 + 0.5 = 1. Hencet

x[q]A If t > 0.5

then A(x) ≤ max{A(y), 0.5} ≤ t and sot

x[∈]A.

Case 2 A(y) + t < 1. If t ≤ 0.5 then

A(x) ≤ max{A(y), 0.5} ≤ max{1 − t, 0.5} = 1 − t,

and so A(x) < 1 − t =⇒ A(x) + t < 1. Hencet

x[q]A. If t > 0.5 then

A(x) ≤ max{A(y), 0.5} ≤ max{1 − t, 0.5} = 0.5 ≤ t,

and sot

x[∈]A. Thus in both cases, we have

t

x[∈] ∨ [q]A and hence x ∈ [A; t]. Let x, y ∈ S and t ∈ [0, 1)

be such that x, y ∈ [A; t]. Thent

x[∈] ∨ [q]A and

t

y[∈] ∨ [q]A. Hence A(x) ≤ t or A(x) + t < 1 and

A(y) ≤ t or A(y) + t < 1. Since A is an ([∈], [∈] ∨ [q])-fuzzy bi-ideal of S, we have

A(xy) ≤ max{A(x),A(y), 0.5}.

Then we have the following cases:Case 1 Let A(x) < t and A(y) < t. If t ≤ 0.5. Then

A(xy) ≤ max{A(x),A(y), 0.5} = 0.5

and hencet

xy[q]A. If t > 0.5. Then

A(xy) ≤ max{A(x),A(y), 0.5} ≤ t

and sot

xy[∈]A. Hence

t

xy[∈] ∨ [q]A.

Case 2 Let A(x) ≤ t and A(y) + t < 1. If t ≤ 0.5, then

A(xy) ≤ max{A(x),A(y), 0.5} = max{A(y), 0.5}max{1 − t, 0.5} = 1 − t,

so A(xy) + t < 1 and hencet

xy[q]A. If t > 0.5. Then

A(xy) ≤ max{A(x),A(y), 0.5} ≤ max{t, 1 − t, 0.5} = t,

and hencet

xy[∈]A. Thus

t

xy[∈] ∨ [q]A.

Case 3 Let A(x) + t < 1 and A(y) ≤ t. If t ≥ 0.5, then

A(xy) ≤ max{A(x),A(y), 0.5} ≤ max{A(x), 0.5} = max{1 − t, 0.5} = 1 − t,

so A(xy) + t < 1 and hencet

xy[q]A. If t < 0.5, then

A(xy) ≤ max{A(x),A(y), 0.5} ≤ max{1 − t, t, 0.5} = t,

and so A(xy) ≤ t =⇒ t

xy[∈]A. Hence

t

xy[∈] ∨ [q]A.

Case 4 Let A(x) + t < 1 and A(y) + t < 1. If t ≤ 0.5, then

A(xy) ≤ max{A(x),A(y), 0.5} ≤ max{1 − t, 0.5} = 1 − t,

and so A(xy) + t < 1, hencet

xy[q]A. If t > 0.5 then

A(xy) ≤ max{A(x),A(y), 0.5} ≤ max{1 − t, 0.5} = 0.5 ≤ t,

hencet

xy[∈]A. Thus

t

xy[∈] ∨ [q]A. Therefore in any case we have

t

xy[∈] ∨ [q]A and hence xy ∈ [A; t].

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Now, let a, x, y ∈ S and t ∈ [0, 1) be such that x, y ∈ [A; t]. Thent

x[∈]∨ [q]A and

t

y[∈]∨ [q]A. Hence

A(x) ≤ t or A(x) + t < 1 and A(y) ≤ t or A(y) + t < 1. Since A is an ([∈], [∈] ∨ [q])-fuzzy bi-ideal ofS, we have

A(xay) ≤ max{A(x),A(y), 0.5}.

Then we have the following cases:

Case 1 Let A(x) < t and A(y) < t. If t ≤ 0.5. Then

A(xay) ≤ max{A(x),A(y), 0.5} = 0.5

and hencet

xay[q]A. If t > 0.5. Then

A(xay) ≤ max{A(x),A(y), 0.5} ≤ t

and sot

xay[∈]A. Hence

t

xay[∈] ∨ [q]A.

Case 2 Let A(x) ≤ t and A(y) + t < 1. If t ≤ 0.5, then

A(xay) ≤ max{A(x),A(y), 0.5} = max{A(y), 0.5}max{1 − t, 0.5} = 1 − t,

so A(xay) + t < 1 and hencet

xay[q]A. If t > 0.5. Then

A(xay) ≤ max{A(x),A(y), 0.5} ≤ max{t, 1 − t, 0.5} = t,

and hencet

xay[∈]A. Thus

t

xay[∈] ∨ [q]A.

Case 3 Let A(x) + t < 1 and A(y) ≤ t. If t ≥ 0.5, then

A(xay) ≤ max{A(x),A(y), 0.5} ≤ max{A(x), 0.5} = max{1 − t, 0.5} = 1 − t,

so A(xay) + t < 1 and hencet

xay[q]A. If t < 0.5, then

A(xay) ≤ max{A(x),A(y), 0.5} ≤ max{1 − t, t, 0.5} = t,

and so A(xay) ≤ t =⇒ t

xay[∈]A. Hence

t

xay[∈] ∨ [q]A.

Case 4 Let A(x) + t < 1 and A(y) + t < 1. If t ≤ 0.5, then

A(xay) ≤ max{A(x),A(y), 0.5} ≤ max{1 − t, 0.5} = 1 − t,

and so A(xay) + t < 1, hencet

xay[q]A. If t > 0.5 then

A(xay) ≤ max{A(x),A(y), 0.5} ≤ max{1 − t, 0.5} = 0.5 ≤ t,

hencet

xay[∈]A. Thus

t

xay[∈] ∨ [q]A. Therefore in any case we have

t

xy[∈] ∨ [q]A and hence xay ∈

[A; t]. Thus [A; t] is a bi-ideal of S.

Conversely, assume that A is a fuzzy subset of S and t ∈ [0, 1) be such that [A; t] is a bi-ideal of S. Ifpossible, let max{A(y), 0.5} ≤ t < A(x) for some t ∈ [0, 1). Then y ∈ C(A; t) ⊆ [A; t]. Since x ≤ y and[A; t] is a bi-ideal of S, we have x ∈ [A; t]. Then A(x) ≤ t of A(x) + t < 1. This is a contradition. Thus

A(x) ≤ max{A(y), 0.5} for all x, y ∈ S with x ≤ y.

Let x, y ∈ S and t ∈ [0, 1) be such that

max{A(x),A(y), 0.5} ≤ t < A(xy),

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GENERALIZED ANTI FUZZY Bi-IDEALS 73

then x, y ∈ C(A; t) ⊆ [A; t]. Since [A; t] is a bi-ideal of S, we have xy ∈ [A; t]. Then A(xy) ≤ t orA(xy) + t < 1. This is a contradiction. Hence A(xy) ≤ max{A(x),A(y), 0.5} for all x, y ∈ S. Finally,let a, x, y ∈ S and t ∈ [0, 1) be such that

max{A(x),A(y), 0.5} ≤ t < A(xay),

then x, y ∈ C(A; t) ⊆ [A; t]. Since [A; t] is a bi-ideal of S, we have xay ∈ [A; t]. Then A(xay) ≤ tor A(xay) + t < 1. This is a contradiction. Hence A(xay) ≤ max{A(x),A(y), 0.5} for all x, y ∈ S.Therefore A is an ([∈], [∈] ∨ [q])-fuzzy bi-ideal of S. �

Theorem 3.10. Every ([∈]∨ [q], [∈]∨ [q])-fuzzy bi-ideal is an ([∈], [∈]∨ [q])-fuzzy bi-ideal of S.Proof. Let A be an ([∈] ∨ [q], [∈] ∨ [q])-fuzzy bi-ideal of S. Let x, y ∈ S with x ≤ y and t ∈ [0, 1)

be such thatt

y[∈]A. Then

t

y[∈] ∨ [q], [∈] ∨ [q]A. Since A is an ([∈] ∨ [q], [∈] ∨ [q])-fuzzy bi-ideal of S,

and x ≤ y we havet

x[∈] ∨ [q]A. Let x, y ∈ S and r, s ∈ [0, 1) be such that

t

x[∈]A, and

t

y[∈]A. Then

r

x[∈] ∨ [q]A, and

s

y[∈] ∨ [q]A and hence

max{r, s}x

[∈] ∨ [q]A. Finally, let a, x, y ∈ S and r, s ∈ [0, 1) be

such thatt

x[∈]A, and

t

y[∈]A. Then

t

x[∈] ∨ [q]A, and

t

y[∈] ∨ [q]A and we have

max{r, s}xay

[∈] ∨ [q]A.

Therefore A is an ([∈], [∈] ∨ [q])-fuzzy bi-ideal of S. �The converse of Theorem 3.10 is not true in general. Consider the ordered semigroup given in

Example 2.4, and define a fuzzy subset A : S −→ [0, 1] by

A(x) = 0.2, A(b) = 0.4, A(c) = 0.5, A(d) = 0.3, A(e) = 0.6.

Then A is an ([∈], [∈] ∨ [q])-fuzzy bi-ideal of S but A is not an ([∈] ∨ [q], [∈] ∨ [q])-fuzzy bi-ideal,

because0.22a

[∈]A and0.42

b[∈]A but

max{0.22, 0.42}ab

=0.42d

[∈]A.

Theorem 3.11. Every ([∈], [∈])-fuzzy bi-ideal is an ([∈], [∈] ∨ [q])-fuzzy bi-ideal of S.Proof. Straightforward. �Theorem 3.12. A fuzzy subset A of S is an ([∈], [∈] ∨ [q])-fuzzy bi-ideal of S if and only if

C(A; t) is a bi-ideal of S for all t ∈ [0.5, 1).Proof. Suppose that A is an ([∈], [∈] ∨ [q])-fuzzy bi-ideal of S. Let x, y ∈ S with x ≤ y and t ∈

[0.5, 1) be such that y ∈ C(A; t). Then A(y) ≤ t. Since A is an ([∈], [∈] ∨ [q])-fuzzy bi-ideal we have,

A(x) ≤ max{A(y), 0.5} ≤ t,

and so x ∈ C(A; t). Let x, y ∈ C(A; t). Then A(x) ≤ t and A(y) ≤ t. By hypothesis,

A(xy) ≤ max{A(x),A(y), 0.5} ≤ t,

and so xy ∈ C(A; t). Finally, let a, x, y ∈ S and t ∈ [0.5, 1) be such that x, y ∈ C(A; t). It follows from(iii) of Theorem that

A(xay) ≤ max{A(x),A(y), 0.5} ≤ t,

hence xay ∈ C(A; t). Therefore C(A; t) is bi-ideal of S.Conversely, assume that C(A; t) is a bi-ideal of S for all t ∈ [0.5, 1). Let x, y ∈ S with x ≤ y. If

possible, let there exists t ∈ [0.5, 1) such that

max{A(y), 0.5} ≤ t < A(x),

then A(y) ≤ t and we have y ∈ C(A; t). Since x ≤ y, we have x ∈ C(A; t). This is a contradiction. HenceA(x) ≤ max{A(y), 0.5} for all x, y ∈ S with x ≤ y. Let x, y ∈ S and t ∈ [0.5, 1) be such that

max{A(x),A(y), 0.5} ≤ t < A(xy),

then x, y ∈ C(A; t). Since C(A; t) is a bi-ideal we have xy ∈ C(A; t). Then A(xy) ≤ t. This is a contra-diction. Hence A(xy) ≤ max{A(x),A(y), 0.5} for all x, y ∈ S. Finally, let a, x, y ∈ S and t ∈ [0.5, 1) besuch that

max{A(x),A(y), 0.5} ≤ t < A(xay),

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74 JUN et al.

then x, y ∈ C(A; t) and hence xay ∈ C(A; t). Then A(xay) ≤ t. This is a contradiction.Hence A(xay) ≤ max{A(x),A(y), 0.5} for all a, x, y ∈ S. Thus A is an ([∈], [∈] ∨ [q])-fuzzybi-ideal of S. �

The following example shows that there exists an ([∈], [∈]∨ [q])-fuzzy bi-ideal of S such that Q(A; t)is not a bi-ideal of S for some t ∈ [0, 1).

Example 3.13. Consider the ordered semigroup S = {a, b, c, d, e} as given in Example 2.4, anddefine a fuzzy subset A by:

A(a) = 0.2, A(b) = 0.3, A(c) = 0.8, A(e) = 0.5, A(d) = 0.6.

Then Q(A; t) = {a, b, d, e} for all 0.5 < t ≤ 0.6. Since0.3a

[∈]A and0.6b

[∈]A. But

max{0.3, 0.6}ab

=0.6d

[q]A.

Definition 3.14. A fuzzy subset A of S is called an ([q], [q])-fuzzy bi-ideal of S if it satisfies:

(i) (∀x, y ∈ S)(t ∈ [0, 1))(x ≤ y,t

y[q]A =⇒ t

x[q]A),

(ii) (∀x, y ∈ S)(r, s ∈ [0, 1))(r

x[q]A,

s

y[q]A =⇒ max{r, s}

xy[q]A),

(iii) (∀a, x, y ∈ S)(r, s ∈ [0, 1))(r

x[q]A,

s

y[q]A =⇒ max{r, s}

xay[q]A).

Theorem 3.17. Let B be a bi-ideal of S and let A be a fuzzy subset of S such that(i) (∀x ∈ S\B)(A(x) = 1),(ii) (∀x ∈ B)(A(x) ≤ 0.5).Then A is both a ([q], [∈] ∨ [q])-fuzzy bi-ideal and an ([∈], [∈] ∨ [q])-fuzzy bi-ideal of S.

Proof. Let x, y ∈ S, x ≤ y and t ∈ [0, 1) be such thatt

y[q]A. Then y ∈ B. Since x ≤ y ∈ B, then

x ∈ B. If t ≥ 0.5 then A(x) ≤ 0.5 ≤ t and hencet

x[∈]A. If t < 0.5 then A(x) + t < 0.5 + 0.5 = 1 and

sot

x[q]A. Hence

t

x[∈]∨ [q]A for all x, y ∈ S with x ≤ y. Let x, y ∈ S and r, s ∈ [0, 1) be such that

t

x[q]A

andt

y[q]A. Then x, y ∈ B and hence xy ∈ B. If max{r, s} ≥ 0.5 then A(xy) ≤ 0.5 ≤ max{r, s} and so

max{r, s}xy

[∈]A. If max{r, s} < 0.5 then A(xy) + max{r, s} < 0.5 + 0.5 = 1, and hencemax{r, s}

xy[q]A.

Thusmax{r, s}

xy[∈] ∨ [q]A. Let a, x, y ∈ S and r, s ∈ [0, 1) be such that

t

x[q]A and

t

y[q]A. Then

x, y ∈ B and hence xay ∈ B. If max{r, s} ≥ 0.5 then A(xay) ≤ 0.5 ≤ max{r, s} and somax{r, s}

xay[∈]

A. If max{r, s} < 0.5 then A(xay) + max{r, s} < 0.5 + 0.5 = 1, and hencemax{r, s}

xay[q]A. Thus

max{r, s}xay

[∈] ∨ [q]A. Therefore A is an ([q], [∈] ∨ [q])-fuzzy bi-ideal of S.

Let x, y ∈ S, x ≤ y and t ∈ [0, 1) be such thatt

y[∈]A. ThenA(y) ≤ t and so y ∈ B. Since x ≤ y ∈ B,

then x ∈ B. If t ≥ 0.5 then A(x) ≤ 0.5 ≤ t and hencet

x[∈]A. If t < 0.5 then A(x) + t < 0.5 + 0.5 = 1

and sot

x[q]A. Hence

t

x[∈] ∨ [q]A for all x, y ∈ S with x ≤ y. Let x, y ∈ S and r, s ∈ [0, 1) be such that

t

x[∈]A and

t

y[∈]A. Then A(x) ∈ t and A(y) ≤ t and so x, y ∈ B and hence xy ∈ B. If max{r, s} ≥ 0.5

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GENERALIZED ANTI FUZZY Bi-IDEALS 75

then A(xy) ≤ 0.5 ≤ max{r, s} and somax{r, s}

xy[∈]A. If max{r, s} < 0.5 then A(xy) + max{r, s} <

0.5 + 0.5 = 1, and hencemax{r, s}

xy[q]A. Thus

max{r, s}xy

[∈] ∨ [q]A. Let a, x, y ∈ S and r, s ∈ [0, 1)

be such thatt

x[∈]A and

t

y[∈]A. Then A(x) ∈ t and A(y) ≤ t and so x, y ∈ B and hence xay ∈ B.

If max{r, s} ≥ 0.5 then A(xay) ≤ 0.5 ≤ max{r, s} and somax{r, s}

xay[∈]A. If max{r, s} < 0.5 then

A(xay) + max{r, s} < 0.5 + 0.5 = 1, and hencemax{r, s}

xay[q]A. Thus

max{r, s}xay

[∈] ∨ [q]A. Therefore

A is an ([q], [∈] ∨ [q])-fuzzy bi-ideal of S. �Note that every ([∈], [∈] ∨ [q])-fuzzy bi-ideal of S may not be ([q], [∈] ∨ [q])-fuzzy bi-ideal of S.Example 3.17. Consider an ordered semigroup S = {a, b, c, d, e} as given in Example 2.4, and

define an fuzzy subset A by:

A(a) = 0.2, A(b) = 0.4, A(c) = 0.5, A(d) = 0.3, A(e) = 0.6.

Then A is an ([∈], [∈] ∨ [q])-fuzzy bi-ideal. But A is not a ([q], [∈] ∨ [q])-fuzzy bi-ideal of S. Since0.11a

[q]A and0.21

b[q]A. But

max{0.11, 0.21}ab

=0.21d

[∈]A.

Proposition 3.18. If {Ai}i∈I is a family of ([∈], [∈] ∨ [q])-fuzzy bi-ideals of S. Then⋂

i∈I

Ai is an

([∈], [∈] ∨ [q])-fuzzy bi-ideal of S, where⋂

i∈I

Ai(x) =∧

i∈I

Ai(x) for all x ∈ S.

Proof. Let x, y ∈ S be such that x ≤ y. Then

i∈I

Ai(x) =∧

i∈I

Ai(x) ≤∧

i∈I

{Ai(y) ∨ 0.5} =

{∧

i∈I

Ai(y) ∨ 0.5

}

=

{(⋂

i∈I

Ai

)

(y) ∨ 0.5

}

.

Let a, x, y ∈ S. Then

i∈I

Ai(xy) =∧

i∈I

Ai(xy) ≤∧

i∈I

{Ai(x) ∨ Ai(y) ∨ 0.5} =

{∧

i∈I

Ai(x) ∨∧

i∈I

Ai(y)

}

∨ 0.5

=

{(⋂

i∈I

Ai

)

(x) ∨(

i∈I

Ai

)

(y) ∨ 0.5

}

,

and⋂

i∈I

Ai(xay) =∧

i∈I

Ai(xay) ≤∧

i∈I

{Ai(x) ∨ Ai(y) ∨ 0.5} =

{∧

i∈I

Ai(x) ∨∧

i∈I

Ai(y)

}

∨ 0.5

=

{(⋂

i∈I

Ai

)

(x) ∨(

i∈I

Ai

)

(y) ∨ 0.5

}

.

Thus⋂

i∈I

Ai is an ([∈], [∈] ∨ [q])-fuzzy bi-ideal of S. �

Note that if {Ai}i∈I is a family of ([∈], [∈] ∨ [q])-fuzzy bi-ideals of S then⋃

i∈I

Ai may not be an

([∈], [∈] ∨ [q])-fuzzy bi-ideals of S.Example 3.19. Let S = {a, b, c, d, e} be an ordered semigroup, which is given in Example 2.4, and

let A1 and A2 be a fuzzy subset of S which are defined as follows:

A1(a) = 0.3, A1(b) = 0.5, A1(d) = 0.6, A1(c) = A1(e) = 0.7

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76 JUN et al.

A2(a) = 0.5, A2(b) = A2(c) = A2(d) = 0.8, A2(e) = 0.75.

Then

C(A1; t) :=

{S if 0.7 ≤ t < 1{a, b, d} if 0.6 ≤ t < 0.7

C(A2; t) :=

{S if 0.8 ≤ t < 1{a} if 0.5 ≤ t < 0.8.

The union of A1 and A2, A1 ∪ A2 is given by:

A1 ∪ A2(a) = 0.5, A1 ∪A2(b) = A1 ∪ A2(c) = A1 ∪ A2(d) = 0.8, A1 ∪A2(a) = 0.75.

Then

C(A1 ∪ A2; t) :=

{S if 0.8 ≤ t < 1{a, e} if 0.5 ≤ t < 0.8.

Since {a, e} is not a bi-ideal of S, it follows from Theorem 3.6 that A1 ∪ A2 is not an ([∈], [∈] ∨ [q])-fuzzy bi-ideal of S.

ACKNOWLEDGEMENT

We would like to thank for financial support during this work under CIIT research grant program.

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