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BY-NC-ND 3.0 license Open Access Published by De Gruyter September 23, 2017

Some Innovative Types of Fuzzy Ideals in AG-Groupoids

  • Faiz Muhammad Khan , Hidayat Ullah Khan EMAIL logo , Safyan Mukhtar , Asghar Khan and Nor Haniza Sarmin

Abstract

AG-groupoids (non-associative structure) are basic structures in Flocks theory. This theory mainly focuses on distance optimization, motion replication, and leadership maintenance with a wide range of applications in physics and biology. In this paper, we define some new types of fuzzy ideals of AG-groupoids called (α, β)-fuzzy bi-ideals, (α, β)-fuzzy interior ideals, (β̄, ᾱ)-fuzzy bi-ideals, and (β̄, ᾱ)-fuzzy interior ideals, where α, β∈{∈γ, qδ, ∈γqδ, ∈γqδ} and ᾱ, β̄∈{⋶γ, q̄δ, ⋶γq̄δ, ⋶γq̄δ}, with α≠∈γqδ and β̄≠⋶γq̄δ. An important milestone achieved by this paper is providing the connection between classical algebraic structures (ordinary bi-ideals, interior ideals) and new types of fuzzy algebraic structures [(∈γ, ∈γqδ)-fuzzy bi-ideals, (∈γ, ∈γqδ)-fuzzy interior ideals]. Special attention is given to (∈γ, ∈γqδ)-fuzzy bi-ideals and (⋶γ, ⋶γq̄δ) -fuzzy bi-ideals.

AMS Mathematics Subject Classification: 20M10; 20N99

1 Introduction

The fuzzification of algebraic structures like semigroups, ordered semigroups, AG-groupoids, hemirings, near-rings, and BCK/BCI-algebra in terms of several types of fuzzy ideals and investigation of new types of fuzzy ideals is a central focus for researchers nowadays. Due to the diverse applications of such characterizations in many applied branches such as control engineering, computer science, Flocks theory, fuzzy coding theory, fuzzy finite state machines, and fuzzy automata, efforts were made by mathematicians to investigate some new types of fuzzy ideals that can fill out the gap in the latest studies of ideal theory. Mordeson et al. [28] presented an up-to-date account of fuzzy sub-semigroups and fuzzy ideals of a semigroup. Kuroki [23] introduced the notion of fuzzy bi-ideals in semigroups. Kehayopulu and Tsingelis applied the fuzzy concept in ordered semigroups and studied some properties of fuzzy left (right) ideals and fuzzy filters in ordered semigroups [15]. Fuzzy implicative and Boolean filters of R0-algebra were initiated by Liu and Li [24].

The concept of a quasi-coincidence of a fuzzy point with a fuzzy set, which is mentioned in Refs. [1, 2], played a significant role in generating some different types of fuzzy subgroups. The notion of (α, β)-fuzzy subgroups by using the “belongs to” relation (∈) and “quasi-coincident with” relation (q) between a fuzzy point and a fuzzy subgroup was introduced by Bhakat and Das [1]. In particular, the (∈, ∈∨q)-fuzzy subgroup is an important and useful generalization of the Rosenfeld fuzzy subgroup [33]. This concept opened a new dimension for researchers to investigate similar types of generalizations of the existing fuzzy subsystems of other algebraic structures. In algebra, the concept of (α, β)-fuzzy sets was introduced by Davvaz in Ref. [3], where (∈, ∈∨q)-fuzzy subnearrings (ideals) of a nearring were initiated and studied. With this objective in view, Ma et al. in Ref. [25] introduced the interval-valued (∈, ∈∨q)-fuzzy ideals of pseudo-MV algebras and gave some important results of pseudo-MV algebras. Jun and Song [11] discussed general forms of fuzzy interior ideals in semigroups; for further details, the readers are referred to Ref. [12]. Kazanci and Yamak introduced the concept of a generalized fuzzy bi-ideal in semigroups [13] and gave some properties of fuzzy bi-ideals in terms of (∈, ∈∨q)-fuzzy bi-ideals. Jun et al. [12] gave the concept of a generalized fuzzy bi-ideal in ordered semigroups and characterized regular-ordered semigroups in terms of this notion. Davvaz [3] used the idea of generalized fuzzy sets in hyperstructures and introduced different generalized fuzzy subsystems of hyperstructures. In Ref. [26], Ma et al. introduced the concept of a generalized fuzzy filter of R0-algebra and provided some properties in terms of this notion. Many other researchers used the idea of generalized fuzzy sets and gave several characterization results in different branches of algebra [1, 3, 11–13, 16, 18–21, 25–27, 34, 35]. The concept of (α, β)-fuzzy interior ideals in ordered semigroups was first introduced by Khan and Shabir in Ref. [16], where some basic properties of (α, β)-fuzzy interior ideals were discussed. Khan et al. [21, 22] characterized ordered semigroups in terms of some new types of fuzzy bi-ideals and fuzzy generalized bi-ideals.

Besides this, the concept of a left almost semigroup (LA-semigroup) [14] was first introduced by Kazim and Naseeruddin in 1972. In Ref. [10], the same structure was called a left invertive groupoid. Protic and Stevanovic [32] called it Abel-Grassmann’s groupoid, abbreviated as AG-groupoid, a groupoid whose elements satisfy the left invertive law: (ab)c=(cb)a for all a, b, cG. An AG-groupoid is the midway structure between a commutative semigroup and a groupoid [30]. It is a useful non-associative structure with a wide range of applications in the theory of flocks [31]. In an AG-groupoid, the medial law, (ab)(cd)=(ac)(bd) for all a, b, c, dG [14], holds. If there exists an element e in an AG-groupoid G such that ex=x for all xG, then G is called an AG-groupoid with left identity e. If an AG-groupoid G has right identity, then G is a commutative monoid. If an AG-groupoid G contains left identity, then (ab)(cd)=(dc)(ba) holds for all a, b, c, dG. Also, a(bc)=b(ac) holds for all a, b, cG.

Recently, Yin and Zhan [36] introduced more general forms of (∈, ∈∨q)-fuzzy (implicative, positive implicative and fantastic) filters and (⋶, ⋶∨q̄)-fuzzy (implicative, positive implicative and fantastic) filters of BL-algebras and defined (∈γ, ∈γqδ)-fuzzy (implicative, positive implicative, and fantastic) filters and (⋶γ, ⋶γq̄δ)-fuzzy (implicative, positive implicative, and fantastic) filters of BL-algebras, and gave some interesting results in terms of these notions.

In this paper, we generalize the concept of (∈, ∈∨q)-fuzzy bi-ideals given in Ref. [18], (∈, ∈∨q)-fuzzy left (right) ideals and (∈, ∈∨q)-fuzzy interior ideals given in Ref. [19], and define (α, β)-fuzzy bi-ideals, (α, β)-fuzzy interior ideals, (β̄, ᾱ)-fuzzy bi-ideals, and (β̄, ᾱ)-fuzzy interior ideals in AG-groupoids, where α, β∈{∈γ, qδ, ∈γqδ, ∈γqδ} and ᾱ, β̄∈{⋶γ, q̄δ, ⋶γq̄δ, ⋶γq̄δ} with α≠∈γqδ and β̄≠⋶γq̄δ . Special attention is given to (∈γ, ∈γqδ)-fuzzy bi-ideals, (⋶γ, ⋶γq̄δ)-fuzzy bi-ideals, (∈γ, ∈γqδ)-fuzzy interior ideals, and (⋶γ, ⋶γq̄δ)-fuzzy bi-ideals. Some interesting results in terms of these new types of notions are also obtained.

2 Preliminaries

The present section contains some fundamental concepts on AG-groupoids that are essential for this paper.

Throughout the paper, G denotes an AG-groupoid unless otherwise stated.

For subsets A, B of an AG-groupoid G, we denote by AB={abG|aA, bB}. A non-empty subset A of G is called a left (right) ideal [29] of G if GAA(AGA). A non-empty subset A of an AG-groupoid G is called an AG-subgroupoid of G if A2A. An AG-subgroupoid A of G is called a bi-ideal [29] of G if (AG)AA. An AG-subgroupoid A of G is called an interior ideal [29] of G if (GA)GA.

Now, we give some fuzzy logic concepts.

Let G be an AG-groupoid. By a fuzzy subset μ of an AG-groupoid G, we mean a mapping, μ:G→[0, 1]. We denote by μ(G) the set of all fuzzy subsets of G. The order relation “⊆” on μ(G) is defined as follows:

μ1μ2 if and only if μ1(x)μ2(x) for all xG and for all μ1,μ2μ(G).

A fuzzy subset μ of G is called a fuzzy AG-subgroupoid [17] if μ(xy)≥μ(x)∧μ(y) for all x, yG. μ is called a fuzzy left (right) ideal of G if μ(xy)≥μ(y) (μ(xy)≥μ(x)) for all x, yG. μ is called a fuzzy ideal of G if it is both a fuzzy left and right ideal of G.

Let G be an AG-groupoid and μ a fuzzy subset of G. Then, μ is called a fuzzy bi-ideal [17] of G if it satisfies the following conditions:

  1. (∀x, yG) (μ(xy)≥μ(x)∧μ(y)).

  2. (∀x, y, zG) (μ(xy)z)≥μ(x)∧μ(z)).

A fuzzy subset μ of G is called a fuzzy interior ideal [17] of G if it satisfies the following conditions:

  1. (∀x, yG) (μ(xy)≥μ(x)∧μ(y)).

  2. (∀x, a, yG) ((μ(xa)y)≥μ(a)).

Let μ be a fuzzy subset of G and ∅≠AG, then the characteristic function μA of A is defined as

μA:G[0,1],aμA(a):={1 if aA,0 if aA.

Let μ and λ be the two fuzzy subsets of AG-groupoid G. Then, the product μ o λ is defined by

(μλ)(x)={.x=yz(μ(y)λ(z)) if x=yz,0otherwise

for all y, zG.

For an AG-groupoid G, the fuzzy subsets “0” and “1” of G are defined as follows:

0:G[0,1]|x0(x)=0,1:G[0,1]|x1(x)=1.

Clearly, the fuzzy subset 0 (resp. 1) of G is the least (resp. the greatest) element of the AG-groupoid (μ(G), o) [i.e. 0≤μ and μ≤1 for every μμ(G)]. The fuzzy subset 0 is the zero element of (μ(G), o) [i.e. μ o 0=0 o μ=0 and 0≤μ for every μμ(G)]. Moreover, μS=1 and μ∅=0.

2.1 Lemma [18]

Let G be an AG-groupoid and μ a fuzzy subset of G. Then, μ is a fuzzy bi-ideal of G if and only if μA is a fuzzy bi-ideal of G.

Let G be an AG-groupoid and μ a fuzzy subset of G. Then, for every t∈(0, 1], the set

U(μ;t):={x|xG and μ(x)t}

is called a level set of μ with support x and value t.

2.2 Theorem [18]

Let G be an AG-groupoid and μ a fuzzy subset of G. Then, μ is a fuzzy bi-ideal of G if and only if U(μ; t)(≠∅) is a bi-ideal of G for every t∈(0, 1].

2.3 Theorem [19]

Let G be an AG-groupoid and μ a fuzzy subset of G. Then, μ is a fuzzy interior ideal of G if and only if U(μ; t)(≠∅) is an interior ideal of G for every t∈(0, 1].

Let μ be a fuzzy subset of G, then the set of the form

μ(y):={t(0)if y=x,0otherwise,

is called a fuzzy point with support x and value t and is denoted by [x; t]. A fuzzy point [x; t] is said to belong to (resp. quasi-coincidence) with a fuzzy set μ, written as [x; t]∈μ (resp. [x; t]) if μ(x)≥λ [resp. μ(x)+λ>1]. If [x; t]∈μ or [x; t]qμ, then we write [x; t]∈∨qμ. The symbol q¯ means ∈∨q does not hold.

2.4 Definition

A fuzzy subset μ of G is called an (⋶, ⋶∧q̄)-fuzzy bi-ideal of G if it satisfies the following conditions:

  1. (x,yG)(s,t(0,1])([xy;st]¯μ[x;s]¯q¯μ or [y;t]¯q¯μ),

  2. (x,a,yG)(s,t(0,1])([(xa)y;st]¯μ[x;s]¯q¯μ or [y;t]¯q¯μ).

2.5 Example

Consider G={a, b, c, d, e} with the following multiplication table:

·abcde
aaaaaa
baaaaa
caaecd
daadec
eaacde

Then (G, ·) is an AG-groupoid. Define a fuzzy subset μ:G→[0, 1] as follows:

μ(x)={0.8if x=a,0.6if x{b,c,d,e}.

Then, by Definition 2.4, μ is an (⋶, ⋶∨q̄)-fuzzy bi-ideal of G.

2.6 Theorem

If μ is a fuzzy subset of G, then μ is an (⋶, ⋶∨q̄)-fuzzy bi-ideal of G if and only if

  • (3) (x,yG)(μ(xy)0.5μ(x)μ(y)),

  • (4) (x,a, yG)(μ((xa)y)0.5μ(x)μ(y)).

Proof. (1)⇒(3). If there exist x, yG such that μ(xy)∨0.5<t=μ(x)∧μ(y), then 0.5<t≤1, [xy; t]μ but [x; t]∈μ and [y; t]∈μ. By (1), we have [x; t]q̄μ or [y; t]q̄μ. Then, (μ(x)≥t and t+μ(x)≤1) or (μ(y)≥t and t+μ(y)≤1), which implies that t≤0.5, a contradiction.

(3)⇒(1). Let x, yG and s, t∈(0, 1] be such that [xy; st]μ, then μ(xy)<st.

(a) If μ(xy)≥μ(x)∧μ(y), then μ(x)∧μ(y)<s∧t, and consequently, μ(x)<s or μ(y)<t. It follows that [x; s] ⋶μ or [y; t]⋶μ. Thus, [x; s]⋶∨q̄μ or [y; t]⋶∨q̄μ.

(b) If μ(xy)<μ(x)∧μ(y), then by (3), we have 0.5≥μ(x)∧μ(y). Let [x; s]⋶μ or [y; t]⋶μ then s≤μ(x)≤0.5 or t≤μ(y)≤0.5. It follows that [x; s]q̄μ or [y; t]q̄μ, and [x; s]⋶∨q̄μ or [y; t]⋶∨q̄μ.

(2)⇒(4). If there exist x, a, yG such that μ((xa)y)∨0.5<t=μ(x) ∧ μ(y), then 0.5<t≤1, [(xa)y; t]⋶μ but [x; t] ∈μ and [y; t]∈μ. By (2), we have [x; t]q̄μ or [y; t]q̄μ. Then, (μ(x)≥t and t+μ(x)≤1) or (μ(y)≥t and t+μ(y)≤1), which implies that t≤0.5, a contradiction.

(4)⇒(2). Let x, a, yG and r, t∈(0, 1] be such that [(xa)y; rt]⋶μ, then μ((xa)y)<rt.

(a) If μ((xa)y)≥μ(x)∧μ(y), then μ(x)∧μ(y)<rt, and consequently, μ(x)<r or μ(y)<t. It follows that [x; r] ⋶μ or [y; t]⋶μ. Thus, [x; r]⋶∨q̄μ or [y; t]⋶∨q̄μ.

(b) If μ((xa)y)<μ(x)∧μ(y), then by (4), we have 0.5≥μ(x)∧μ(y). Let [x; r]⋶μ or [y; t]⋶μ, then r≤μ(x)0.5 or t≤μ(y)≤0.5. It follows that [x; r]q̄μ or [y; t]q̄μ, and [x; r]⋶∨q̄μ or [y; t]⋶∨q̄μ.□

2.7 Definition

A fuzzy subset μ of G is called an (⋶, ⋶∨q̄)-fuzzy interior ideal of G if it satisfies the following conditions:

  1. (x,yG)(s,t(0,1])([xy;st]¯μ[x;s]¯q¯μ or [y;t]¯q¯μ),

  2. (x,a,yG)(s(0,1])([(xa)y;s]¯μ[a;s]¯q¯μ.

2.8 Theorem

If μ is a fuzzy subset of G, then μ is an (⋶, ⋶∨q̄)-fuzzy interior ideal of G if and only if

  • (3) (x,yG)(μ(xy)0.5μ(x)μ(y)),

  • (4) (x,a, yG)(μ((xa)y)0.5μ(a)).

Proof. (2)⇒(4). If there exist x, a, yG such that μ((xa)y)∨0.5<t=μ(a), then 0.5<t≤1, [(xa)y; t]⋶μ but [a; t]∈μ. By (2), we have [a; t]q̄μ. Then, (μ(a)≥t and t+μ(a)≤1), which implies that t≤0.5, a contradiction.

(4)⇒(2). Let x, a, yG and r∈(0, 1] be such that [(xa)y; r]μ, then μ((xa)y)<r.

(a) If μ((xa)y)<μ(a), then μ(a)<r, and consequently, μ(a)<r. It follows that [a; r]⋶μ. Thus, [a; r]⋶∨q̄μ.

(b) If μ((xa)y)<μ(a), then by (4), we have 0.5≥μ(a). Let [a; r]⋶μ, then r≤μ(a)0.5. It follows that [a; r]q̄μ, so [a; r]⋶∨q̄μ. The remaining proof follows from Theorem 2.6. □

2.9 Definition

A fuzzy subset μ of G is called an (⋶, ⋶∨q̄)-fuzzy left (resp. right) ideal of G if it satisfies the following conditions:

(x,yG)(s(0,1])([xy;s]¯μ[y;s]¯q¯μ(resp. [x;s]¯q¯μ).

2.10 Theorem

If μ is a fuzzy subset of G, then μ is an (⋶, ⋶∨q̄)-fuzzy left (resp. right) ideal of G if and only if

(x,yG)(μ((xy)0.5μ(y)(resp. μ(x))).

Proof. Suppose that μ is an (⋶, ⋶∨q̄)-fuzzy left ideal. If there exist x, yG such that μ(xy)∨0.5<t=μ(y), then 0.5<t≤1, [xy; t]⋶μ but [y; t]∈μ. By Definition 2.9, we have [a; t]q̄μ. Then, (μ(a)≥t and t+μ(a)≤1), which implies that t≤0.5, a contradiction. Let x, yG and s∈(0, 1] be such that [xy; s]⋶μ, then μ(xy)<s.

(a) If μ(xy)≥μ(y), then μ(y)<s. It follows that [y; s]μ. Thus, [y; s]⋶∨q̄μ.

(b) If μ(xy)<μ(y), then by hypothesis, we have 0.5≥μ(y). Let [y; s]⋶μ, then s≤μ(y)≤0.5. It follows that [y; s]q̄μ, so [y; a]⋶∨q̄μ. In a similar way, the case for right ideal can be proved.□

2.11 Corollary

If μ is a fuzzy subset of G, then μ is an (⋶, ⋶∨q̄)-fuzzy bi-ideal of G if and only if

(x,yG)(μ((xy)0.5μ(y)μ(x)).

Proof. The proof follows from Theorem 2.10.□

3 (∈γ , ∈γqδ)-Fuzzy Bi-ideals of AG-Groupoids

Ma et al. [27] investigated new types of fuzzy ideals called (∈γ, ∈γqδ)-fuzzy (positive implicative, implicative, and commutative) ideals and (⋶γ, ⋶γq̄δ)-fuzzy (positive implicative, implicative, and commutative) ideals of BCI-algebras, and provided the classification of BCI-algebras in terms of these types of fuzzy ideals. The concept of general forms of a fuzzy interior ideal in an AG-groupoid was studied in Ref. [19]. Generalizing the concepts of Refs. [18, 19], here we extend our studies to more general forms of fuzzy bi-deals, fuzzy left (right) ideals, and fuzzy interior ideals in AG-groupoids. In this section, some new types of fuzzy bi-ideals called (α, β)-fuzzy bi-ideals of G are introduced and some new types of characterization of AG-groupoids are investigated.

In what follows, let γ, δ∈[0, 1] be such that γ<δ. For a fuzzy point [x; s] and a fuzzy subset μ of X, we say that

  1. [x; r]∈γμ if μ(x)≥r>γ.

  2. [x; r]qδμ if μ(x)+r>2δ.

  3. [x; r]∈γqδμ if [x; r]∈γμ or [x; r]qδμ.

  4. [x; r]∈γqδμ if [x; r]∈γμ and [x; r]qδμ.

  5. [x; r]ᾱμ if [x; r]αμ does not hold for α∈{∈γ, qδ, ∈γqδ, ∈γqδ}.

3.1 Definition

A fuzzy subset μ of G is called an (α, β)-fuzzy AG-subgroupoid of G if it satisfies the condition

(x,yG)(s,t(γ,1])([x;s]αμ,[x;t]αμ[xy;st]βμ).

Note that α, β∈{∈γ, qδ, ∈γqδ, ∈γqδ} and α ≠ ∈γqδ. The case α=∈γqδ is omitted. Because for a fuzzy subset μ such that μ(x)<δ for any xG. In the case [x; t]∈γqδμ, we have μ(x)≥t and μ(x)+t>2δ. Therefore, μ(x)+μ(x)>μ(x)+t>2δ, which implies that 2μ(x)>2δ. Thus, μ(x)>δ, a contradiction. This means that {[x; t]|[x; t]∈γqδμ}=∅.

3.2 Theorem

A fuzzy subset μ of G is an (γ, ∈γqδ)-fuzzy AG-subgroupoid of G if and only if

(x,yG)(γ,δ[0,1])(μ(xy)γμ(x)μ(y)δ).

Proof. Assume that μ is an (∈γ, ∈γqδ)-fuzzy AG-subgroupoid of G. If there exist x, yG such that μ(xy)∨γ<μ(x)∧μ(y)∧δ. Choose t∈(γ, 1] such that μ(xy)∨γ<t≤μ(x)∧μ(y)∧δ. Then, [x; t]∈γμ and [y; t]∈γμ but μ(xy)<t and μ(xy)+t<2t<2δ, so [xy;t]γqδ¯μ, a contradiction. Hence, μ(xy)∨γ≥μ(x)∧μ(y)∧δ for all x, yG and γ, δ∈[0, 1].

Conversely, assume that μ(xy)∨γ≥μ(x)∧μ(y)∧δ for all x, yG and γ, δ[0, 1]. Let [x; s]∈γμ and [y; t]∈γμ for some s, t∈(γ, 1], then μ(x)≥s>γ and μ(y)≥t>γ and by hypothesis,

μ(xy)γμ(x)μ(y)δstδ={stif stδδif δ<st.

That is, μ(xy)∨γ≥st but st>γ, therefore μ(xy)≥st>γ and hence [xy; st]∈γμ or μ(xy)∨γ≥δ but γ<δ, therefore μ(xy)≥δ, thus μ(xy)+st≥δ+st>2δ, that is [xy; st]qδμ and hence [xy; st]∈γqδμ. Consequently, μ is an (∈γ, ∈γqδ)-fuzzy AG-subgroupoid of G. □

3.3 Definition

A fuzzy subset μ of G is called an (α, β)-fuzzy bi-ideal of G if it satisfies the following conditions:

  1. (∀x, yG)(∀s, t∈(γ, 1])([x; s]αμ, [x; t]αμ→[xy; st]βμ),

  2. (∀x, a, yG)(∀s, t∈(γ, 1])([x; s]αμ, [y; t]αμ→[(xa)y; st]βμ).

3.4 Example

Let G be an AG-groupoid as shown in Example 2.5. Then {a}, {a, c, d, e} and G are bi-ideals of G. Define a fuzzy subset μ:S→[0, 1] as follows:

μ(x)={0.8if x=a,0.6if x=b,0.2if x=c,0.3if x=d,0.4if x=e.

Then, μ is an (∈0.1, ∈0.1q0.2)-fuzzy bi-ideal of G.

3.5 Theorem

Let μ be a fuzzy subset of G. Then, the following conditions are equivalent:

  1. μ is an (γ, ∈γqδ)-fuzzy bi-ideal of G.

  2. μ satisfies the following conditions:

    • (2.1) (∀x, y∈G)(∀γ, δ∈[0, 1])(μ(xy)∨γ≥μ(x)∧μ(y)∧δ),

    • (2.2) (∀x, a, y∈G)(∀γ, δ∈[0, 1))(μ((xa)y)∨γ≥μ(x)∧μ(y)∧δ).

Proof. Let μ be an (∈γ, ∈γqδ)-fuzzy bi-ideal of G and consider (μ(xy)∨γ<μ(x)∧μ(y)∧δ) for some x, yG and γ, δ∈[0, 1], then (μ(xy)∨γ<t≤μ(x)∧μ(y)∧δ) for some t∈(γ, 1]. From this, we observe that [x; t]∈γμ and [y; t]∈γμ but μ(xy)<t and μ(xy)+t<2t<2δ, so [xy;t]γqδ¯μ, a contradiction. Hence, μ(xy)∨γ≥μ(x)∧μ(y)∧δ for all x, yG and γ, δ∈[0, 1]. Next, μ((xa)y)∨γ<μ(x)∧μ(y)∧δ for some x, a, yG and γ, δ∈[0, 1]; then there exist some t∈(γ, 1] such that μ((xa)y)∨γ<t≤μ(x)∧μ(y)∧δ. This shows that [x; t]∈γμ and [y; t]∈γμ but μ((xa)y)<t and μ((xa)y)+t<2t<2δ, so [(xa)y;λ]γqδ¯μ, a contradiction. Therefore, μ((xa)y)∨γ≥μ(x)∧μ(y)∧δ for all x, a, yG and γ, δ∈[0, 1].

Conversely, let μ satisfy conditions (2.1) and (2.2) and consider [x; s]∈γμ, [y; t]∈γμ for some x, yG and s, t∈(γ, 1]. Then, by (2.1):

μ(xy)γμ(x)μ(y)δstδ={stif stδδif δ<st.

This shows that [xy; st]∈γqδμ, and by (2.2),

μ((xa)y)γμ(x)μ(y)δstδ={stif stδδif δ<st.

It follows from Theorem 3.2 that [(xa)y; st]∈γqδμ. Consequently, μ is an (∈γ, ∈γqδ)-fuzzy bi-ideal of G.□

3.6 Proposition

Let 2δ=1+γ and A be a non-empty subset of G. Then, A is an AG-subgroupoid of G if and only if the fuzzy subset μ of G defined as

μ(x)={δif xA,γif xG\A,

is an (α,γqδ)-fuzzy AG-subgroupoid of G.

Proof. The proof follows from Ref. [20].□

3.7 Theorem

Let μ be a fuzzy subset of G. Then, the following conditions are equivalent:

  1. μ is an (∈γ, ∈γqδ)-fuzzy AG-subgroupoid of G.

  2. U(μ; t)(≠∅) is an AG-subgroupoid of G for all t∈(γ, δ].

Proof. Suppose that μ is an (∈γ, ∈γqδ)-fuzzy AG-subgroupoid of G and x, yU(μ; t) for some t∈(γ, δ]. Then, μ(x)≥t and μ(y)≥t and by hypothesis

μ(xy)γμ(x)μ(y)δttδ=t(as t(γ,δ]).

Hence, μ(xy)≥t>γ; therefore, μ(xy)∈U(μ; t). Thus, U(μ; t) is an AG-subgroupoid of G.

Conversely, assume that U(μ; t)(≠∅) is an AG-subgroupoid of G for all t∈(γ, δ]. If there exist x, yG such that μ(xy)∨γ<μ(x)∧μ(y)∧δ, then μ(xy)∨γ<t≤μ(x)∧μ(y)∧δ for some t∈(γ, 1]. From this, we see that x, yU(μ; t) but xyU(μ; t), a contradiction. Hence, μ(xy)∨γ≥μ(x)∧μ(y)∧δ for all x, yG and γ, δ∈[0, 1].□

The proof of Proposition 3.8 is straightforward and is omitted.

3.8 Proposition

Let 2δ=1+γ and A be a non-empty subset of G. Then, A is a bi-ideal of G if and only if the fuzzy subset μ of G defined as

μ(x)={δif xA,γif xG\A,

is an (α, ∈γqδ)-fuzzy bi-ideal of G.

Proof. The proof follows from Ref. [20].□

3.9 Theorem

Let μ be a fuzzy subset of G. Then, the following conditions are equivalent:

  1. μ is an (∈γ, ∈γqδ)-fuzzy bi-ideal of G.

  2. U(μ; t)(≠∅) is a bi-ideal of G for all t∈(γ, δ].

Proof. Suppose that μ is an (∈γ, ∈γqδ)-fuzzy bi-ideal of G and let x, a, yG be such that x, yU(μ; t) for some t∈(γ, δ]. Then, μ(x)≥t and μ(y)≥t and by hypothesis

μ((xa)y)γμ(x)μ(y)δ)ttδ=t (as t(γ,δ]).

Hence, μ((xa)y)≥t>γ. This shows that (xa)yU(μ; t) and hence U(μ; t)(≠∅) is a bi-ideal of G for all x, a, yG and t∈(γ, δ].

Conversely, assume that U(μ; t)(≠∅) is a bi-ideal of G for all t∈(γ, δ]. If there exist x, a, yG such that μ((xa)y)∨γ<μ(x)∧μ(y)∧δ, then choose t∈(γ, δ] such that μ((xa)y)∨γ<t≤μ(x)∧μ(y)∧δ. From here, we have x, yU(μ; t) but (xa)yU(μ; t), a contradiction. Hence, μ((xa)y)∨γ≥μ(x)∧μ(y)∧δ for all x, a, yG and t∈(γ, δ]. The remaining proof is a consequence of Theorem 3.7. Therefore, μ is an (∈γ, ∈γqδ)-fuzzy bi-ideal of G.□

3.10 Lemma

A non-empty subset A of G is a bi-ideal if and only if the characteristic function μA of A is an (∈γ, ∈γqδ)-fuzzy bi-ideal of G.

Proof. The proof is straightforward.□

3.11 Definition

A fuzzy subset μ of G is called an (∈γ, ∈γqδ)-fuzzy left (resp. right) ideal of G if the following condition holds:

(x,yS)(γ,δ[0,1])([y;t]γμ[xy;t]γqδμ(resp. [yx;t]γqδμ).

3.12 Theorem

Let 2δ=1+γ and A be a non-empty subset of G. Then, A is a left (resp. right) ideal of G if and only if the fuzzy subset μ of G defined as

μ(x)={δif xA,γif xG\A,

is an (α, ∈γqδ)-fuzzy left (resp. right) ideal of G.

Proof. To prove this, we consider the following three cases:

Case 1. Consider A is a left ideal of G. Let x, yG and t∈(γ, 1] be such that [y; t]∈γμ, then yA. As A is a left ideal of G, therefore xyA, that is μ(xy)≥δ. If t≤δ, then μ(xy)≥t>γ and so [xy; t]∈γμ. If t>δ, then μ(xy)+t>δ+t>2δ and hence [xy; t]qδμ. Thus, [xy; t]∈γqδμ. This shows that μ is an (∈γ, ∈γqδ)-fuzzy left ideal of G.

Case 2. Let x, yG and t∈(γ, 1] be such that [y; t]qδμ, then yA. Therefore, xyA, as A is a left ideal of G, that is μ(xy)≥δ. If t≤δ, then μ(xy)≥t>γ and so [xy; t]∈γμ. If t>δ, then μ(xy)+t>δ+t>2δ, and hence [xy; t]qδμ. Thus, [xy; t]∈γqδμ. This shows that μ is a (qδ, ∈γqδ)-fuzzy left ideal of G.

Case 3. Let x, yG and t∈(γ, 1] be such that [y; t]∈γqδμ, follows from case 1 and case 2.□

3.13 Proposition

Every (∈γ, ∈γ)-fuzzy bi-ideal of G is an (∈γ, ∈γqδ)-fuzzy bi-ideal of G.

Proof. It is straightforward, as for [x; t]∈γμ, we have [x; t]∈γqδμ for all xG and t∈(γ, 1].□

The converse of Proposition 3.13 is not true in general, as shown in the following example.

3.14 Example

Consider an AG-groupoid G and a fuzzy subset μ as defined in Example 2.5. Then, μ is an (∈0.1, ∈0.1q0.2)-fuzzy bi-ideal of G but μ is not an (∈0.1, ∈0.1)-fuzzy bi-ideal of G, as [d; 0.28]∈0.1μ [e; 0.38]∈0.1μ and but [(dc)e;0.280.38]=[c;0.28]¯0.1μ.

3.15 Remark

A fuzzy subset μ of an AG-groupoid G is an (∈γ, ∈γqδ)-fuzzy bi-ideal of G if and only if it satisfies conditions (2.1), and (2.2) of Theorem 3.5.

3.16 Remark

Every fuzzy bi-ideal of an AG-groupoid G is an (∈γ, ∈γqδ)-fuzzy bi-ideal of G. However, the converse is not true in general.

3.17 Example

Consider the AG-groupoid as given in Example 2.5 and define a fuzzy subset μ as follows:

μ(a)=0.8,μ(b)=0.6,μ(c)=0.2,μ(d)=0.3,μ(e)=0.4.

Then, μ is an (∈0.1, ∈0.1q0.2)-fuzzy bi-ideal of G. However,

  1. μ is not an (∈0.1, q0.2)-fuzzy bi-ideal of G, as [d; 0.18]∈0.1μ and [e; 0.20]∈0.1μ but

    [(dc)e;0.180.20]=[c;0.18]q¯0.2μ.

  2. μ is not an (q0.2, ∈0.1)-fuzzy bi-ideal of G, as [c; 0.28]∈0.1μ and [d; 0.38]∈0.1μ but

    [(cd);0.280.38]=[c;0.28]¯0.1μ.

  3. μ is not an (∈0.1q0.2, q0.2)-fuzzy bi-ideal of G, as [e; 0.18]∈0.1q0.2μ and [d; 0.28]∈0.1q0.2μ but

    [(ec);0.180.20]=[c;0.18]q¯0.2μ.

Thus, μ is not an (α, β)-fuzzy bi-ideal of G, for every α, β∈{∈0.1, q0.2, ∈0.1q0.2}.

3.18 Proposition

If {μi}i∈I is a family of (γ, ∈γqδ)-fuzzy bi-ideals of an AG-groupoid G, then iIμi is an (γ, ∈γqδ)-fuzzy bi-ideal of G.

Proof. Let {μi}iI be a family of (∈γ, ∈γqδ)-fuzzy bi-ideals of G. Let x, yG. Then

(iIμi)(xy)γ=limiIμi(xy)γlimiI(μi(x)μi(y)δ)=(limiI(μi(x)δ)limiI(μi(y)δ))=(limiIμi)(x)(limiIμi)(y)δ.

Let x, a, yG. Then

(limiIμi)((xa)y)γ=limiIμi((xa)y)γlimiI(μi(x)μi(y)δ)=(limiI(μi(x)δ)limiI(μi(y)δ))=(limiIμi)(x)(limiIμi)(y)δ.

Thus limiIμi is an (∈γ, ∈γqδ)-fuzzy bi-ideal of G.□

3.19 Lemma

The intersection of any family (γ, ∈γqδ)-fuzzy left (resp. right) ideals of an AG-groupoid G is an (γ, ∈γqδ)-fuzzy left (resp. right) ideal of G.

Proof. We consider the case for a left ideal. The case for a right ideal can be proved similarly. Let {μi}iI be a family of (∈γ, ∈γqδ)-fuzzy left ideals of G and x, yG. Then, (limiIμi)(xy)=limiI (μi(xy)). As each μi is an (∈γ, ∈γqδ)-fuzzy left ideal of G, we have μi(xy)∨γ≥μi(y)∧δ for all iI. Thus

(limiIμi)(xy)γ=limiI(μi(xy)γ)limiI(μi(y)δ)=(limiIμi(y))δ=(limiIμi)(y)δ.

Hence, limiIμi is an (∈γ, ∈γqδ)-fuzzy left ideal of G.□

3.20 Lemma

The union of any family (∈γ, ∈γqδ)-fuzzy left (resp. right) ideals of an AG-groupoid G is an (∈γ, ∈γqδ)-fuzzy left (resp. right) ideal of G.

For a detailed study of (α, β)-fuzzy ideals, the readers are referred to Refs. [4, 5, 6, 7, 8, 9, 34, 35] to properly understand the characteristics and properties of this type of ideal theory.

4 (∈γ , ∈γqδ)-Fuzzy Interior Ideals

In this section, some new types of fuzzy interior ideals of AG-groupoids are introduced. An important milestone achieved by this section is providing a connection between ordinary interior ideals and fuzzy interior ideals of type (∈γ, ∈γqδ) of AG-groupoids.

4.1 Definition

A fuzzy subset μ of an AG-groupoid G is called an (∈γ, ∈γqδ)-fuzzy interior ideal of G if it satisfies the following conditions:

  1. (∀x, yG)(∀s, t∈(γ, 1])([x; s]∈γμ, [y; t]∈γμ→[xy; st]∈γqδμ),

  2. (∀x, a, yG)(∀s∈(γ, 1])([a; s]∈γμ→[(xa)y; s]∈γqδμ).

4.2 Theorem

Let 2δ=1+γ and A be a non-empty subset of G. Then, A is an interior ideal of G if and only if the fuzzy subset μ of G defined as

μ(x)={δif xA,γif xG\A,

is an (α, ∈γqδ)-fuzzy interior ideal of G.

Proof. We consider the following three cases:

  • Case 1: Consider A is an interior ideal of G. Let x, a, yG and [a; t]∈γμ for some t∈(γ, 1], then aA. As A is an interior ideal of G, therefore xayA, that is μ(xay)≥δ. If t≤δ, then μ(xay)≥t and so [xay; t]∈γμ. If t>δ, then μ(xay)+t>δ+t>2δ and hence [xay; t]qδμ. Thus, [xay; t]∈γqδμ. This shows that μ is an (∈γ, ∈γqδ)-fuzzy interior ideal of G.

  • Case 2: Let x, a, yG and t∈(γ, 1] such that [a; t]qδμ, then aA. As A is an interior ideal of G, therefore xayA and hence μ(xay)≥δ. If t≤δ, then μ(xay)≥t and so [xay; t]∈γμ. If t>δ, then μ(xay)+t>δ+t>2δ and hence [xay; t]qδμ. Thus, [xay; t]∈γqδμ. This shows that μ is an (∈γ, ∈γqδ)-fuzzy left ideal of G.

  • Case 3: Let x, a, yG and t∈(γ, 1] be such that [a; t]∈γqδμ follows from case 1 and case 2. The remaining proof follows directly from Proposition 3.8.□

4.3 Lemma

A non-empty subset A of G is an interior ideal if and only if the characteristic function μA of A is an (γ, ∈γqδ)-fuzzy interior ideal of G.

Proof. The proof follows from Lemma 3.10.□

4.4 Theorem

Suppose that μ is a fuzzy subset of G. Then, the following conditions are equivalent:

  1. μ is an (γ, ∈γqδ)-fuzzy interior ideal of G.

  2. μ satisfies the following conditions:

    • (2.1) (∀x, y∈G)(∀γ, δ∈[0, 1])(μ(xy)∨γ≥μ(x)∧μ(y)∧δ),

    • (2.2) (∀x, a, y∈G)(∀γ, δ∈[0, 1))(μ((xa)y)∨γ≥μ(a)∧δ).

Proof. Let μ be an (∈γ, ∈γqδ)-fuzzy interior ideal of G. Suppose that (μ(xy)∨γ<μ(x)∧μ(y)∧δ) for some x, yG and γ, δ∈[0, 1], then (μ(xy)∨γ<t≤μ(x)∧μ(y)∧δ) for some t∈(γ, 1]. From this, we observe that [x; t]∈γμ and [y; t]∈γμ but μ(xy)<t and μ(xy)+t<2t≤2δ, so [xy;t]γqδ¯μ, a contradiction. Hence, μ(xy)∨γ≥μ(x)∧μ(y)∧δ for all x, yG and γ, δ∈[0, 1]. Next, μ((xa)y)∨γ<μ(a)∧δ for some x, a, yG and γ, δ∈[0, 1], then there exist some t∈(γ, 1] such that μ((xa)y)∨γ<t≤μ(a)∧δ. This shows that [a; t]∈γμ but μ((xa)y)≥t and μ((xa)y)+t<2t≤2δ, so [(xa)y;t]γqδ¯μ, a contradiction. This implies μ((xa)y)∨γ≥μ(a)∧δ for all x, a, yG and γ, δ∈[0, 1].

Conversely, let μ satisfy conditions (2.1) and (2.2) and consider [x; s]∈γμ, [y; t]∈γμ for some x, yG and s, t∈(γ, 1]. Then, by (2.1)

μ(xy)γμ(x)μ(y)δstδ={stif stδδif δ<st.

This shows that [xy; st]∈γqδμ. Next, we let x, a, yG such that [a; s]∈γμ and by (2.2)

μ((xa)y)γμ(a)δsδ={s if sδδ if δ<s.

From this, we can say that [xy; st]∈γqδμ. Consequently, μ is an (∈γ, ∈γqδ)-fuzzy interior ideal of G.□

4.5 Theorem

Let μ be a fuzzy subset of G. Then, the following conditions are equivalent:

  1. μ is an (γ, ∈γqδ)-fuzzy interior ideal of G.

  2. U(μ; t)(≠∅) is an interior ideal of G for all t∈(γ, δ].

Proof. Suppose that μ is an (∈γ, ∈γqδ)-fuzzy interior ideal of G and let x, a, yG be such that aU(μ; t) for some t∈(γ, δ]. Then, μ(a)≥t and by hypothesis

μ((xa)y)γμ(a)δ)tδ=t(as t(γ,δ]).

Hence, μ((xa)y)≥t>γ. This shows that (xa)yU(μ; t), and hence U(μ; t)(≠∅) is an interior of G for all x, a, yG and t∈(γ, δ].

Conversely, assume that U(μ; t)(≠∅) is an interior of G for all t∈(γ, δ]. If there exist x, a, yG such that μ((xa)y)∨γ<μ(a)∧δ, then choose t∈(γ, δ] such that μ((xa)y)∨γ<t≤μ(a)∧δ. From here, we have aU(μ; t) but (xa)yU(μ; t), a contradiction. Hence, μ((xa)y)∨γ≥μ(a)∧δ for all x, a, yG and t∈(γ, δ]. The remaining proof is a consequence of Theorem 3.9. Therefore, μ is an (∈γ, ∈γqδ)-fuzzy interior ideal of G.□

4.6 Proposition

Every (γ, ∈γ)-fuzzy interior ideal of G is an (∈γ, ∈γqδ)-fuzzy interior ideal of G.

Proof. The proof follows from Proposition 3.13.□

4.7 Remark

A fuzzy subset μ of an AG-groupoid G is an (∈γ, ∈γqδ)-fuzzy interior ideal of G if and only if it satisfies conditions (2.1) and (2.2) of Theorem 4.4.

4.8 Proposition

Every (∈γqδ, ∈γqδ)-fuzzy interior ideal of G is an (∈γ, ∈γqδ)-fuzzy interior ideal of G.

Proof. Let μ be an (∈γqδ, ∈γqδ)-fuzzy interior ideal of G, then consider x, yG and s, t∈(γ, 1] such that [x; s]∈γqδμ, [y; t]∈γqδμ. Therefore, [x; s]∈γqδμ, [y; t]∈γqδμ implies [x; s]∈γμ or [x; s]qδμ and [y; t]∈γμ or [y; t]qδμ, which leads to [x; s]∈γμ, [y; t]∈γμ. Hence, by Definition 4.1, it implies that [xy; st]∈γqδμ). Also, suppose x, a, yG and s∈(γ, 1] such that [a; s]∈γqδμ. Therefore, [a; s]∈γqδμ, implies [a; s]∈γμ or [a; s]qδμ, which leads to [x; s]∈γμ. Therefore, Definition 4.1 implies that [xay; s]∈γqδμ). Thus, μ is an (∈γ, ∈γqδ)-fuzzy interior ideal of G.

Note that, every (∈γ, ∈γqδ)-fuzzy ideal of G is an (∈γ, ∈γqδ)-fuzzy interior ideal. Similarly, every (∈γ, ∈γqδ)-fuzzy bi-ideal is an (∈γ, ∈γqδ)-fuzzy generalized bi-ideal of G. In the following propositions, we provide the conditions under which the converses of the above statements are true.□

4.9 Proposition

If G is an intra-regular AG-groupoid, then every (∈γ, ∈γqδ)-fuzzy interior ideal is an (∈γ, ∈γqδ)-fuzzy ideal of G.

Proof. Let μ be an (∈γ, ∈γqδ)-fuzzy interior ideal of G. Let a, bG. As G is intra-regular, there exists x, yG such that a=(xa2)y. Thus,

μ(ab)γ=μ(((xa2)y)b)γ=μ((by)(xa2))γ=μ((by)(x(aa)))γ=μ((by)(a(xa))γ=μ((by)a(xa)))γμ(a)δ.

Similarly, we can show that μ(ab)∨γ≥μ(b)∧δ, and hence μ is an (∈γ, ∈γqδ)-fuzzy ideal of G.□

4.10 Proposition

If G is an intra-regular AG-groupoid, then every (∈γ, ∈γqδ)-fuzzy generalized bi-ideal is an (∈γ, ∈γqδ)-fuzzy bi-ideal of G.

Proof. Let μ be an (∈γ, ∈γqδ)-fuzzy generalized bi-ideal of G. Let a, bG. As G is intra-regular, there exists x, yG such that a=(xa2)y. Thus,

μ(ab)γ=μ(((xa2)y)b)γ=μ(((xa2)(ey))b)γ=μ(((ye)(a2x)b)γ=μ((a2((ye)x))b)γ=μ(((aa)((ye)x))b)γ=μ(((x(ye))(aa))b)γ=μ((a((x(ye)a))b)γμ(a)μ(b)δ.

Thus, μ is an (∈γ, ∈γqδ)-fuzzy AG-subgroupoid of G and consequently, μ is an (∈γ, ∈γqδ)-fuzzy bi-ideal of G.

In Propositions 4.9 and 4.10, if we take G as regular, then the concepts of (∈γ, ∈γqδ)-fuzzy ideals, (∈γ, ∈γqδ)-fuzzy interior ideals, (∈γ, ∈γqδ)-fuzzy generalized bi-ideals, and (∈γ, ∈γqδ)-fuzzy bi-ideals coincide.□

5 (⋶γ , ⋶γq̄δ )-Fuzzy Bi-(interior) Ideals

In this section, we define (⋶γ, ⋶γq̄δ)-fuzzy bi-ideals, (⋶γ, ⋶γq̄δ)-fuzzy interior ideals of AG-groupoids, and investigate some important properties of AG-groupoids based on these new types of fuzzy bi-ideals and fuzzy interior ideals. It is important to note that level subsets are used to link ordinary ideals and fuzzy ideals of type (⋶γ, ⋶γq̄δ). If μ is a fuzzy subset of G and J={t|t∈(0, 1] and U(μ; t) is a level subset of μ, then μ will be a fuzzy bi-ideal (resp. an interior ideal) depending on the level subset, whether it is empty or bi-ideal (resp. interior ideal). Further, if μ is a fuzzy subset and J={t|t∈(0, 1] and U(μ; t) is an empty set or a bi-ideal (resp. interior ideal) of G}, then we consider the following questions:

  1. If J=(δ, 1], what type of fuzzy bi-ideal (fuzzy interior ideal) of G will μ be?

  2. If J=(γ, δ], (γ, δ∈(0, 1]), will μ be a kind of fuzzy bi-ideal (resp. fuzzy interior ideal) of G or not?

In the following, we give the answers to these questions.

5.1 Definition

A fuzzy subset μ of G is called an (β̄, ᾱ)-fuzzy bi-ideal of G if it satisfies the following conditions:

  1. (x,yG)(s,t(γ,1])([xy;st]β¯μ[x;s]α¯μ or [y;t]α¯μ),

  2. (x,a,yG)(s,t(γ,1])([(xa)y;st]β¯μ[x;s]α¯μ or [y;t]α¯μ).

5.2 Theorem

If μ is a fuzzy subset μ of G, then the following conditions are equivalent:

  1. μ is an (⋶γ, ⋶γq̄δ)-fuzzy bi-ideal of G.

  2. μ satisfies the following conditions:

    1. (∀x, y∈G)(μ(xy)∨δ≥μ(x)∧μ(y)),

    2. (∀x, a, z∈G)(μ((xa)z)∨δ≥μ(x)∧μ(z)).

Proof. Let μ be an (⋶γ, ⋶γq̄δ)-fuzzy bi-ideal of G. If there exists x, yG such that μ(xy)∨δ<μ(x)∧μ(y), then μ(xy)∨δ<t≤μ(x)∧μ(y) for some t∈(γ, 1], we see that [xy; t]⋶γμ but [x; t]∈γμ and [y; t]∈γμ, a contradiction, and hence μ(xy)∨δ≥μ(x)∧μ(y) for all x, yG. Next, we suppose that there exist a, b, cG such that μ((ab)c)∨δ<μ(a)∧μ(c), then μ((ab)c)∨δ<s≤μ(a)∧μ(c) for some s∈(γ, 1] shows that [(ab)c; t]⋶γμ but [a; t]∈γμ and [c; t]∈γμ, a contradiction; therefore, μ((xa)z)∨δ≥μ(x)∧μ(z) for all x, a, zG.

Conversely, suppose μ satisfies conditions (i) and (ii). On the contrary, assume that for x, yG, [xy; st]⋶γμ such that [x;s]¯γq¯δ¯μ and [y;t]¯γq¯δ¯μ. Hence, μ(xy)<st, μ(x)≥s, μ(x)+s>2δ, μ(y)≥t, and μ(y)+t>2δ. We claim that μ(x)>δ and μ(y)>δ. This is because if μ(x)>δ and μ(y)>δ, then s≤μ(x)<δ implies that s<δ, and similarly t<δ. Thus, μ(x)+s≤δ+s≤δ+δ=2δ, which leads to [x; s]q̄δμ. Hence, [x; s]⋶γq̄δμ, a contradiction to our assumption. Therefore, μ(x)>δ and μ(y)>δ. Hence

μ(x)μ(y)>(st)δ>μ(xy)δ.

Thus, a contradiction to (i). This is due to our wrong supposition. Therefore, for x, yG such that [xy; st]⋶γμ, then it implies that [x; s]⋶γq̄δμ or [y; t]⋶γq̄δμ. Similarly, for x, a, yG, [(xa)y; s∧t]⋶γμ such that [x;s]¯γq¯δ¯μ and [y;t]¯γq¯δ¯μ. Therefore, μ((xa)y)<st, μ(x)≥s, μ(x)+s>2δ, μ(y)≥t and μ(y)+t>2δ. We claim that μ(x)>δ and μ(y)>δ. This is because if μ(x)>δ and μ(x)>δ, then s≤μ(x)<δ implies that s<δ, and similarly t<δ. Hence, μ(x)+s≤δ+s≤δ+δ=2δ implies that [x; s]q̄δμ. Hence, [x; s]⋶γq̄δμ, a contradiction. Therefore, μ(x)>δ and μ(y)>δ. Hence

μ(x)μ(y)>(st)δ>μ((xa)y)δ.

Thus, a contradiction to (ii). Therefore, for x, yG such that [(xa)y; st]γμ, then it implies that [x; s]⋶γq̄δμ or [y; t]⋶γq̄δμ. Hence, μ is an (⋶γ, ⋶γq̄δ)-fuzzy bi-ideal of G.□

5.3 Definition

A fuzzy subset μ of G is called an (β̄, ᾱ)-fuzzy interior ideal of G if it satisfies the following conditions:

(x,yG)(s,t(γ,1])([xy;st]β¯μ[x;s]α¯μ or [y;t]α¯μ),

(x,a,yG)(s(γ,1])([(xa)y;s]β¯μ[a;s]α¯μ).

5.4 Theorem

If μ is a fuzzy subset μ of G, then the following conditions are equivalent:

  1. μ is an (⋶γ, ⋶γq̄δ)-fuzzy interior ideal of G.

  2. μ satisfies the following conditions:

    1. (∀x, y∈G)(μ(xy)∨δ≥μ(x)∧μ(y)),

    2. (∀x, a, z∈G)(μ((xa)z)∨δ≥μ(a)).

Proof. It is an immediate consequence of Theorem 5.2.□

5.5 Lemma

If μ is a fuzzy subset of G, then the following are equivalent:

  1. U(μ; t) is a bi-ideal of G for all t∈( δ, 1].

  2. μ is an (⋶γ, ⋶γq̄δ)-fuzzy bi-ideal.

Proof. Assume that U(μ; t) is a bi-ideal of G for all t∈(δ, 1]. If there exist x, yG such that μ(xy)∨δ<μ(x)∧μ(y)=t1, then t1∈(δ, 1], x, yU(μ; t1). However, μ(xy)<t1 implies xyU(μ; t1), a contradiction. Hence, μ(xy)∨δ≥μ(x)∧μ(y) for all x, yG.

If there exist x, y, zG such that μ((xy)z)∨δ<μ(x)∧μ(z)=t2, then t2∈(δ, 1], x, zU(μ; t2). However, μ((xy)z)<t2 implies (xy)zU(μ; t2), a contradiction. Hence, μ((xy)z)∨δ≥μ(x)∧μ(z) for all x, y, zG.

Conversely, suppose that for x, yU(μ; t). By Theorem 5.2, we get

μ(xy)δμ(x)μ(y)t,

and so μ(xy)≥t. It follows that xyU(μ; t). Let x, zU(μ; t), then μ(x)≥t and μ(z)≥t. By Theorem 5.2, we get

μ((xy)z)δμ(x)μ(z)t,

and so μ((xy)z)≥t. It follows that (xy)zU(μ; t). Thus, U(μ; t) is a bi-ideal of G for all t∈(δ, 1].□

5.6 Lemma

If μ is a fuzzy subset of G, then the following are equivalent:

  1. U(μ, t) is an interior ideal of G for all t∈(δ, 1].

  2. μ is an (⋶γ, ⋶γq̄δ)-fuzzy interior ideal.

Proof. This follows directly from Lemma 5.5.□

Next, we discuss fuzzy bi-ideals with thresholds and fuzzy interior ideals with thresholds.

5.7 Definition

Let γ, δ∈[0, 1] and γ<δ, then a fuzzy subset μ of G is called a fuzzy bi-ideal with thresholds (γ, δ] of G if it satisfies the following conditions:

  1. (∀x, yG)(μ(xy)∨γ≥μ(x)∧μ(y)∧δ),

  2. (∀x, y, zG)(μ((xy)z)∨γ≥μ(x)∧μ(z)∧δ).

5.8 Theorem

A fuzzy subset μ of G is a fuzzy bi-ideal with thresholds (γ, δ] of G if and only if U(μ; t)(≠∅) is a bi-ideal of G for all γ<tδ.

5.9 Definition

Let γ, δ∈(0, 1] and γ<δ, then a fuzzy subset μ of G is called a fuzzy interior ideal with thresholds (γ, δ] of G if it satisfies the following conditions:

  1. (∀x, yG)(μ(xy)∨γ≥μ(x)∧μ(y)∧δ),

  2. (∀x, y, zG)(μ((xy)z)∨γ≥μ(a)∧δ).

5.10 Theorem

A fuzzy subset μ of G is a fuzzy interior ideal with thresholds (γ, δ] of G if and only if U(μ; t)(≠∅) is an interior ideal of G for all γ<tδ.

6 Concluding Remarks

In science and technology, the use of algebraic structures plays an unavoidable role. For instance, semigroups are basic structures in computer science, control engineering, etc. Moreover, ordered semigroups are used in fuzzy automata, formal languages, coding theory, etc. Also, AG-groupoids are used in flocks (physics, biology) theory. Due to these diverse applications, algebraic structures, especially AG-groupoids, and related structures are presently a central focus for researchers. In this paper, we studied generalized fuzzy bi-ideals (resp. ideals and interior ideals) and provided different characterization theorems of AG-groupoids in terms of (∈γ, ∈γqδ)-fuzzy bi-(interior) ideals and (⋶γ, ⋶γq̄δ)-fuzzy bi-(interior) ideals. The characteristic function and level subset of μ are used to show the connection between ordinary bi-ideals (resp. interior ideals) and fuzzy bi-ideals (resp. fuzzy interior ideals) of type (∈γ, ∈γqδ). In particular, if J={t|t∈(0, 1] and U(μ; t) is an empty set or a bi-ideal (resp. an ideal or an interior ideal) of G, we discussed what kind of fuzzy bi-ideals (resp. fuzzy ideals or fuzzy interior ideals) of G will μ be.

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Received: 2017-06-01
Published Online: 2017-09-23
Published in Print: 2019-09-25

©2019 Walter de Gruyter GmbH, Berlin/Boston

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