General Type-2 Fuzzy Topological Spaces

Abstract

In this paper, a presented definition of type-2 fuzzy sets and type-2 fuzzy set operation on it was given. The aim of this work was to introduce the concept of general topological spaces were extended in type-2 fuzzy sets with the structural properties such as open sets, closed sets, interior, closure and neighborhoods in topological spaces were extended to general type-2 fuzzy topological spaces and many related theorems are proved.

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AL-Khafaji, M. and Hussan, M. (2018) General Type-2 Fuzzy Topological Spaces. Advances in Pure Mathematics, 8, 771-781. doi: 10.4236/apm.2018.89047.

1. Introduction

The fuzzy set theory proposed by Zadeh [1] extended the classical notion of sets and permitted the gradual assessment of membership of elements in a set [2] . After introducing the notion of fuzzy sets and fuzzy set operations, several attempts have been made to develop mathematical structures using fuzzy set theory. In 1968, chang [3] introduced fuzzy topology which provides a natural framework for generalizing many of the concepts of general topology to fuzzy topological spaces and its development can be found in [3] . The concept of a type-2 fuzzy set as extension of the concept of an ordinary fuzzy set (henceforth called a type-1 fuzzy set) in which the membership function falls into a fuzzy set in the interval [0,1], [2] [4] . Many scholars have conducted research on type-2 fuzzy set and their properties, including Mizumoto and Tanaka [5] , Mendel [6] , Karnik and Mendel [4] and Mendel and John [7] . Type-2 fuzzy sets are called “fuzzy”, so, it could be called fuzzy set [6] . In [6] Mendel was introduced the concept of an interval type-2 fuzzy set. Type-2 fuzzy sets have also been widely applied to many fields with two parts general type-2 fuzzy set and interval type-2 fuzzy sets. The interval type-2 fuzzy topological space introduced by [2] . Because the interval type-2 fuzzy set, as a special case of general type-2 fuzzy sets, and general type-2 fuzzy sets may be better that the interval type-2 fuzzy sets to deal with uncertainties and because general type-2 fuzzy sets can obtain more degrees of freedom [8] , we introduce general type-2 fuzzy topological spaces. The paper is organized as follows. Section 2 is the preliminary section which recalls definitions and operations to gather with some properties type-2 fuzzy sets. In Section 3, we introduce the definition of general type-2 fuzzy topology and some of its structural properties such as type-2 fuzzy open sets, type-2 fuzzy closed sets, type-2 fuzzy interior, type-2 fuzzy closure and neighborhood of a type-2 fuzzy set are studied.

2. Preliminaries

In this section, we recall the preliminaries of type-2 fuzzy sets, define type-2 fuzzy and some important associated concepts from [7] [9] and throughout this paper, let X be anon empty set and I be closed unit interval, i.e., I = [ 0 , 1 ] .

Definition 1 [7] [9] . Let X be a finite and non empty set, which is referred to as the universe a type-2 fuzzy set, denoted by A ˜ ˜ is characterized by a type-2 memberships function μ A ˜ ˜ ( x , u ) , as

μ A ˜ ˜ : X × [ 0 , 1 ] → [ 0 , 1 ] J x ( J x ⊆ [ 0 , 1 ] ) , where x ∈ X and u ∈ J x , that is

A ˜ ˜ = { ( ( x , u ) , μ A ˜ ˜ ( x , u ) ) : where   x ∈ X     and   u ∈ J x ⊆ [ 0 , 1 ] , where   0 ≤ μ A ˜ ˜ ( x , u ) ≤ 1 } (1)

A ˜ ˜ can also be expressed as

A ˜ ˜ = ∑ x ∈ X ∑ u ∈ J x μ A ˜ ˜ ( x , u ) / ( x , u ) = ∑ x ∈ X ∑ u ∈ J x f x ( u ) / u / x ,   J x ⊆ [ 0 , 1 ] (2)

where f x ( u ) = μ A ˜ ˜ ( x , u ) an ∑ ​ ∑ ​ denotes union over all admissible x and u for continuous universes of discourse, ∑ ​ is replaced by ∫ ​ . The class of all type-2 fuzzy sets of the universe X denoted by F ˜ ˜ T 2 ( X ) .

Definition 2 [2] [7] . A vertical slice, denoted μ A ˜ ˜ ( x ′ ) , of A ˜ ˜ , is the intersection between the two-dimensional plane whose axes are u and μ A ˜ ˜ ( x ′ , u ) and the three-dimensional type-2membership function A ˜ ˜ , i.e.,

μ A ˜ ˜ ( x ′ ) = μ A ˜ ˜ ( x = x ′ , u ) = ∑ u ∈ J x ′ f x ′ ( u ) / u ,   J x ′ ⊆ I in which 0 ≤ f x ′ ( u ) ≤ 1 . A ˜ ˜ can also be expressed as follows: A ˜ ˜ = { ( x , μ A ˜ ˜ ( x ) ) : ∀ x ∈ X } or as following

A ˜ ˜ = ∑ x ∈ X ∑ u ∈ J x μ A ˜ ˜ ( x ) / ( x ) = ∑ x ∈ X ∑ u ∈ J x f x ( u ) / u / x ,     J x ⊆ [ 0 , 1 ] (3)

The vertical slice, μ A ˜ ˜ ( x ′ ) is also called the secondary membership function, and its domain is called the primary membership of x, which is denoted by J X where J X ⊆ I for any x ∈ X . The amplitude of a secondary membership function is called the secondary grade.

When configuring any type-2 fuzzy topological structures we must present some special types of type-2 fuzzy sets.

Definition 3 [5] [8] . (Type-2 fuzzy universe set).

A type-2 fuzzy universe set, denoted X ˜ ˜ , such that

X ˜ ˜ = ∑ x ∈ X ∑ u ∈ [ 1 , 1 ] 1 / u / x (4)

Definition 4 [5] [8] . (Type-2 fuzzy empty set)

A type-2 fuzzy empty set, denoted ∅ ˜ ˜ , such that

∅ ˜ ˜ = ∑ x ∈ X ∑ u ∈ [ 0 , 0 ] 1 / u / x (5)

Definition 5 [6] . (Interval type-2 fuzzy set).

When all the secondary grades of types A ˜ ˜ are equal to 1, that is μ A ˜ ˜ ( x , u ) = 1 for all x ∈ X and for all u ∈ J x ⊆ [ 0 , 1 ] , A ˜ ˜ is as an Interval type-2 fuzzy set.

Operation of Types-2 fuzzy sets 6. Consider two type-2 fuzzy sets, A ˜ ˜ and B ˜ ˜ , in a universe X. Let μ A ˜ ˜ ( x ) and μ B ˜ ˜ ( x ) be the membership grades of these two sets, which are represented for each x ∈ X , μ A ˜ ˜ ( x ) = ∑ u ∈ J x u f x ( u ) / u and μ B ˜ ˜ ( x ) = ∑ w ∈ J x w g x ( w ) / w , respective, where u ∈ J x u , w ∈ J x w indicate the primary memberships of x and f x ( u ) , g x ( w ) ∈ [ 0 , 1 ] indicate the secondary memberships (grades) of x. The membership grades for the union, intersection and complement of the type-2 fuzzy sets A ˜ ˜ and B ˜ ˜ have been defined as follows [5] .

Containment:

A ˜ ˜ is a subtype-2 fuzzy set of B ˜ ˜ denoted A ˜ ˜ ⊆ B ˜ ˜ if u ≤ w and f x ( u ) ≤ g x ( w ) for every x ∈ X .

Equality:

A ˜ ˜ and B ˜ ˜ are type-2 fuzzy sets are equal, denoted A ˜ ˜ = B ˜ ˜ if u = w and f x ( u ) = μ A ˜ ˜ ( x , u ) = g x ( w ) = μ B ˜ ˜ ( x , w ) for every x ∈ X .

Union of two type-2 fuzzy sets:

A ˜ ˜ ∪ B ˜ ˜ ⇔ μ A ˜ ˜ ∪ B ˜ ˜ ( x ) = ∑ u ∈ J x u ∑ w ∈ J x w f x ( u ) ⋆ g x ( w ) / ( u ∨ w )                                                                                   ≡ μ A ˜ ˜ ( x ) ⊔ μ B ˜ ˜ ( x ) ,         x ∈ X (6)

Intersection of two type-2 fuzzy sets:

A ˜ ˜ ∩ B ˜ ˜ ⇔ μ A ˜ ˜ ∩ B ˜ ˜ ( x ) = ∑ u ∈ J x u ∑ w ∈ J x w f x ( u ) ⋆ g x ( w ) / ( u ∨ w )                                                                                   ≡ μ A ˜ ˜ ( x ) ⊓ μ B ˜ ˜ ( x ) ,         x ∈ X (7)

Complement of a type-2 fuzzy set:

∼ A ˜ ˜ = μ ∼ A ˜ ˜ ( x ) = ∑ u ∈ J x u f x ( u ) / ( 1 − u ) ≡ ¬ μ A ˜ ˜ ( x ) ,       x ∈ X (8)

Where ∨ represent the max t-conorm and ⋆ represent a t-norm. The summation indicate logical unions. We refer to the operations ⊔ , ⊓ and ¬ as join, meet and negation respectively and μ A ˜ ˜ ∪ B ˜ ˜ ( x ) , μ A ˜ ˜ ∩ B ˜ ˜ ( x ) , μ A ˜ ˜ ( x ) and μ B ˜ ˜ ( x ) are the secondary membership functions and all are type-1 fuzzy sets. If μ A ˜ ˜ ( x ) and μ B ˜ ˜ ( x ) have continuous domains, then the summations in 3, 4 and 5 are replaced by integrals.

Example 7: Let X = { x 1 , x 2 , x 3 } be anon empty set, and let A ˜ ˜ and B ˜ ˜ are type-2 fuzzy sets over the same universe X.

A ˜ ˜ = { ( ( x 1 , 0.1 ) , 0.3 ) , ( ( x 1 , 0.5 ) , 1 ) , ( ( x 2 , 0.5 ) , 1 ) , ( ( x 2 , 0.6 ) , 0.3 ) , ( ( x 3 , 0.8 ) , 1 ) }

B ˜ ˜ = { ( ( x 1 , 0.1 ) , 0.7 ) , ( ( x 1 , 0.2 ) , 1 ) , ( ( x 2 , 0.6 ) , 1 ) , ( ( x 3 , 0.5 ) , 0.6 ) , ( ( x 3 , 0.9 ) , 1 ) }

A ˜ ˜ ∪ B ˜ ˜     for   x = x 1   to   get μ A ˜ ˜ ∪ B ˜ ˜ ( x 1 ) = 0.3 ∧ 0.7 0.1 ∨ 0.1 + 0.3 ∧ 1 0.1 ∨ 0.2 + 1 ∧ 0.7 0.5 ∨ 0.1 + 1 ∧ 1 0.5 ∨ 0.2                                           = 0.3 0.1 + 0.3 0.2 + 0.7 0.5 + 1 0.5 = { ( 0.1 , 0.3 ) , ( 0.2 , 0.3 ) , ( 0.5 , max { 0.7 , 1 } ) } A ˜ ˜ ∪ B ˜ ˜     for   x = x 1 ,   { ( ( x 1 , 0.1 ) , 0.3 ) , ( ( x 1 , 0.2 ) , 0.3 ) , ( ( x 1 , 0.5 ) , 1 ) }

A ˜ ˜ ∪ B ˜ ˜     for   x = x 2   to   get μ A ˜ ˜ ∪ B ˜ ˜ ( x 2 ) = 1 ∧ 1 0.5 ∨ 0.6 + 0.3 ∧ 1 0.6 ∨ 0.6 = 1 0.6 + 0.3 0.6 ⇒ { ( 0.6 , max { 1 , 0.3 } ) } A ˜ ˜ ∪ B ˜ ˜     for   x = x 2 ⇒ { ( ( x 2 , 0.6 ) , 1 ) }

A ˜ ˜ ∪ B ˜ ˜     for   x = x 3   to   get   μ A ˜ ˜ ∪ B ˜ ˜ ( x 3 ) = 1 ∧ 0.6 0.8 ∨ 0.5 + 1 ∧ 1 0.8 ∨ 0.9 = 0.6 0.8 + 1 0.9 = { ( 0.8 , 0.6 ) , ( 0.9 , 1 ) } A ˜ ˜ ∪ B ˜ ˜     for   x = x 3 , { ( ( x 3 , 0.8 ) , 0.6 ) , ( ( x 3 , 0.9 ) , 1 ) }

A ˜ ˜ ∪ B ˜ ˜ = { ( ( x 1 , 0.1 ) , 0.3 ) , ( ( x 1 , 0.2 ) , 0.3 ) , ( ( x 1 , 0.5 ) , 1 ) , ( ( x 2 , 0.6 ) , 1 ) ,                             ( ( x 3 , 0.8 ) , 0.6 ) , ( ( x 3 , 0.9 ) , 1 ) }

A ˜ ˜ ∩ B ˜ ˜     for   x = x 1   to   get μ A ˜ ˜ ∩ B ˜ ˜ ( x 1 ) = 0.3 ∧ 0.7 0.1 ∧ 0.1 + 0.3 ∧ 1 0.1 ∧ 0.2 + 1 ∧ 0.7 0.5 ∧ 0.1 + 1 ∧ 1 0.5 ∧ 0.2                                           = 0.3 0.1 + 0.3 0.1 + 0.7 0.1 + 1 0.2 = { ( 0.1 , max { 0.3 , 0.3 , 0.7 } ) , ( 0.2 , 1 ) } A ˜ ˜ ∩ B ˜ ˜     for   x = x 1 , { ( ( x 1 , 0.1 ) , 0.7 ) , ( ( x 1 , 0.2 ) , 1 ) }

A ˜ ˜ ∩ B ˜ ˜     for   x = x 2   to   get μ A ˜ ˜ ∩ B ˜ ˜ ( x 2 ) = 1 ∧ 1 0.5 ∧ 0.6 + 0.3 ∧ 1 0.6 ∧ 0.6 = 1 0.5 + 0.3 0.6 ⇒ { ( 0.5 , 1 ) , ( 0.6 , 0.3 ) } A ˜ ˜ ∩ B ˜ ˜     for   x = x 2 , { ( ( x 2 , 0.5 ) , 1 ) , ( ( x 2 , 0.6 ) , 0.3 ) }

A ˜ ˜ ∩ B ˜ ˜     for   x = x 3   to   get μ A ˜ ˜ ∩ B ˜ ˜ ( x 3 ) = 1 ∧ 0.6 0.8 ∧ 0.5 + 1 ∧ 1 0.8 ∧ 0.9 = 0.6 0.5 + 1 0.8 ⇒ { ( 0.5 , 0.6 ) , ( 0.8 , 1 ) } A ˜ ˜ ∩ B ˜ ˜     for   x = x 3 , { ( ( x 3 , 0.5 ) , 0.6 ) , ( ( x 3 , 0.8 ) , 1 ) }

A ˜ ˜ ∩ B ˜ ˜ = { ( ( x 1 , 0.1 ) , 0.7 ) , ( ( x 1 , 0.2 ) , 1 ) , ( ( x 2 , 0.5 ) , 1 ) , ( ( x 2 , 0.6 ) , 0.3 ) ,                                       ( ( x 3 , 0.5 ) , 0.6 ) , ( ( x 3 , 0.8 ) , 1 ) }

The complement of a type-2 fuzzy set A ˜ ˜ is

∼ A ˜ ˜ = μ ∼ A ˜ ˜ ( x ) = ∑ u ∈ J x u f x ( u ) / ( 1 − u ) ≡ ¬ μ A ˜ ˜ ( x ) ,       x ∈ X = { ( ( x 1 , 0.9 ) , 0.3 ) , ( ( x 1 , 0.5 ) , 1 ) , ( ( x 2 , 0.5 ) , 1 ) , ( ( x 2 , 0.4 ) , 0.3 ) , ( ( x 3 , 0.2 ) , 1 ) } .

Operations under collection of type-2 fuzzy sets 8: Let { A ˜ ˜ i : i ∈ ℕ } be an

arbitrary collection of type-2 fuzzy sets subset of X such that ℕ is countable set, operation are possible under an arbitrary collection of type-2 fuzzy sets.

1) The union ∪ i ∈ ℕ A ˜ ˜ i is defined as

[ ∪ i ∈ N A ˜ ˜ i ] ( x ) = ∑ x ∈ X ∑ u ∈ J x u ∧ i ∈ N ( f x ( u ) ) i ∨ i ∈ N ( u ) i (9)

2) The intersection ∩ i ∈ ℕ A ˜ ˜ i is defined as

[ ∩ i ∈ ℕ A ˜ ˜ i ] ( x ) = ∑ x ∈ X ∑ u ∈ J x u ∧ i ∈ N ( f x ( u ) ) i ∧ i ∈ N ( u ) i (10)

Proposition 9: Let { A ˜ ˜ i : i ∈ ℕ } be an arbitrary collection of type-2 fuzzy sets

subset of X such that ℕ is countable set and B ˜ ˜ be another type-2 fuzzy set of X, then

1) B ˜ ˜ ∩ [ ∪ i ∈ ℕ A ˜ ˜ i ] = ∪ i ∈ ℕ ( B ˜ ˜ ∩ A ˜ ˜ i ) .

2) B ˜ ˜ ∪ [ ∩ i ∈ ℕ A ˜ ˜ i ] = ∩ i ∈ ℕ ( B ˜ ˜ ∪ A ˜ ˜ i ) .

3) 1 − [ ∪ i ∈ ℕ A ˜ ˜ i ] = ∩ i ∈ ℕ ( 1 − A ˜ ˜ i ) .

4) 1 − [ ∩ i ∈ ℕ A ˜ ˜ i ] = ∪ i ∈ ℕ ( 1 − A ˜ ˜ i ) .

3. General Type-2 Fuzzy Topological Space

In this section we introduced the concept general type-2 fuzzy topology.

Definition 1: Let F ˜ ˜ be the collection of type-2 fuzzy set over X; then F ˜ ˜ is said to be general type-2 fuzzy topology on X if

1) ∅ ˜ ˜ , X ˜ ˜ ∈ F ˜ ˜

2) A ˜ ˜ ∩ B ˜ ˜ ∈ F ˜ ˜ for any A ˜ ˜ , B ˜ ˜ ∈ F ˜ ˜ .

3) ∪ i ∈ ℕ A ˜ ˜ i ∈ F ˜ ˜ for any A ˜ ˜ i ∈ F ˜ ˜ , ℕ countable set.

The pair ( X , F ˜ ˜ ) is called general type-2 fuzzy topological space over X.

Remark 2: Let ( X , F ˜ ˜ ) be general type-2 fuzzy topological space over X; then the members of F ˜ ˜ are said to be type-2 fuzzy open set in X and a type-2 fuzzy set A ˜ ˜ is said to be a type-2 fuzzy closed set in X, if its complement ~ A ˜ ˜ ∈ F ˜ ˜ .

Proposition 3: Let ( X , F ˜ ˜ ) be general type-2 fuzzy topological space over X then the following conditions hold:

1) ∅ ˜ ˜ , X ˜ ˜ are type-2 fuzzy closed sets.

2) Arbitrary intersection of type-2 fuzzy closed sets is closed sets.

3) Finite union of type-2 fuzzy closed sets is closed sets.

Proof:

1) ∅ ˜ ˜ , X ˜ ˜ are type-2 fuzzy closed sets because they are the complements of the type-2 fuzzy open sets ∅ ˜ ˜ , X ˜ ˜ is respectively.

2) Let { A ˜ ˜ i : i ∈ ℕ } be an arbitrary collection of type-2 fuzzy closed sets, then

[ ∩ i ∈ ℕ A ˜ ˜ i ] ( x ) = ∑ x ∈ X ∑ u ∈ J x u ∧ i ∈ N ( f x ( u ) ) i ∧ i ∈ N ( u ) i = ∑ x ∈ X ∑ u ∈ J x u ∧ i ∈ N ( f x ( u ) ) i 1 − ( ∨ i ∈ N ( 1 − u ) ) i ( proposition   2 .7   part   3 ) = [ ∪ i ∈ ℕ ~ A ˜ ˜ i ] (x)

since arbitrary union of type-2 fuzzy open sets are open [ ∪ i ∈ ℕ ~ A ˜ ˜ i ] ( x ) is an open and [ ∩ i ∈ ℕ A ˜ ˜ i ] ( x ) is a type-2 fuzzy closed sets.

3) If A ˜ ˜ i ( i ∈ ℕ ) is type-2 fuzzy closed sets, then ∪ i ∈ ℕ A ˜ ˜ i is a type-2 fuzzy closed set, [finite intersection of type-2 fuzzy open sets are open].

Example 4: Let X = { x 1 , x 2 } and let A ˜ ˜ , ∅ ˜ ˜ and X ˜ ˜ be three type-2 fuzzy sets in X which are

∅ ˜ ˜ = ( ( x 1 , 0 ) , 1 ) , ( ( x 2 , 0 ) , 1 ) , X ˜ ˜ = { ( ( x 1 , 1 ) , 1 ) , ( ( x 2 , 1 ) , 1 ) }

A ˜ ˜ = { ( ( x 1 , 0.8 ) , 1 ) , ( ( x 1 , 0.6 ) , 0.7 ) , ( ( x 1 , 0.3 ) , 0.6 ) ,                       ( ( x 2 , 0.8 ) , 0.9 ) , ( ( x 2 , 0.5 ) , 1 ) , ( ( x 2 , 0.4 ) , 0.5 ) } . ∅ ˜ ˜ ∪ X ˜ ˜     for   x 1 : μ ∅ ˜ ˜ ∪ X ˜ ˜ ( x 1 ) = 1 ∧ 1 0 ∨ 1 ⇒   = ( 1 , 1 ) ⇒   = { ( ( x 1 , 1 ) , 1 ) } . ∅ ˜ ˜ ∪ X ˜ ˜     for   x 2 : μ ∅ ˜ ˜ ∪ X ˜ ˜ ( x 2 ) = 1 ∧ 1 0 ∨ 1 ⇒   = ( 1 , 1 ) ⇒   = { ( ( x 2 , 1 ) , 1 ) } . ∅ ˜ ˜ ∪ X ˜ ˜ = { ( ( x 1 , 1 ) , 1 ) , ( ( x 2 , 1 ) , 1 ) } = X ˜ ˜

∅ ˜ ˜ ∩ X ˜ ˜     for   x 1 : μ ∅ ˜ ˜ ∩ X ˜ ˜ ( x 1 ) = 1 ∧ 1 0 ∧ 1 ⇒   = ( 0 , 1 ) ⇒   = { ( ( x 1 , 0 ) , 1 ) } .

∅ ˜ ˜ ∩ X ˜ ˜     for   x 2 : μ ∅ ˜ ˜ ∩ X ˜ ˜ ( x 2 ) = 1 ∧ 1 0 ∧ 1 ⇒   = ( 0 , 1 ) ⇒   = { ( ( x 2 , 0 ) , 1 ) } .

∅ ˜ ˜ ∩ X ˜ ˜ = { ( ( x 1 , 0 ) , 1 ) , ( ( x 2 , 0 ) , 1 ) } = ∅ ˜ ˜

∅ ˜ ˜ ∪ A ˜ ˜     for   x 1 : μ ∅ ˜ ˜ ∪ A ˜ ˜ ( x 1 ) = 1 ∧ 1 0 ∨ 0.8 + 1 ∧ 0.7 0 ∨ 0.6 + 1 ∧ 0.6 0 ∨ 0.3                               = { ( ( x 1 , 0. 8 ) , 1 ) , ( ( x 1 , 0. 6 ) , 0. 7 ) , ( ( x 1 , 0. 3 ) , 0. 6 ) }

∅ ˜ ˜ ∪ A ˜ ˜     for   x 2 : μ ∅ ˜ ˜ ∪ A ˜ ˜ ( x 2 ) = 1 ∧ 0.9 0 ∨ 0.8 + 1 ∧ 1 0 ∨ 0.5 + 1 ∧ 0.5 0 ∨ 0.4                               = { ( ( x 2 , 0. 8 ) , 0.9 ) , ( ( x 2 , 0.5 ) , 1 ) , ( ( x 2 , 0.4 ) , 0.5 ) }

∅ ˜ ˜ ∪ A ˜ ˜ = { ( ( x 1 , 0.8 ) , 1 ) , ( ( x 1 , 0.6 ) , 0.7 ) , ( ( x 1 , 0.3 ) , 0.6 ) ,                                           ( ( x 2 , 0.8 ) , 0.9 ) , ( ( x 2 , 0.5 ) , 1 ) , ( ( x 2 , 0.4 ) , 0.5 ) } = A ˜ ˜

∅ ˜ ˜ ∩ A ˜ ˜     for   x 1 : μ ∅ ˜ ˜ ∩ A ˜ ˜ ( x 1 ) = 1 ∧ 1 0 ∧ 0.8 + 1 ∧ 0.7 0 ∧ 0.6 + 1 ∧ 0.6 0 ∧ 0.3 = 1 0 + 0.7 0 + 0.6 0                               = ( 0 , max { 1 , 0.7 , 0.6 } ) ⇒ { ( ( x 1 , 0 ) , 1 ) } ,

∅ ˜ ˜ ∩ A ˜ ˜     for   x 2 : μ ∅ ˜ ˜ ∩ A ˜ ˜ ( x 2 ) = 1 ∧ 0.9 0 ∧ 0.8 + 1 ∧ 1 0 ∧ 0.5 + 1 ∧ 0.5 0 ∧ 0.4 = 0.9 0 + 1 0 + 0.5 0                               = ( 0 , max { 0.9 , 1 , 0.5 } ) ⇒ { ( ( x 2 , 0 ) , 1 ) } ,

∅ ˜ ˜ ∩ A ˜ ˜ = { ( ( x 1 , 0 ) , 1 ) , ( ( x 2 , 0 ) , 1 ) } = ∅ ˜ ˜

A ˜ ˜ ∪ X ˜ ˜     for   x 1 : μ A ˜ ˜ ∪ X ˜ ˜ ( x 1 ) = 1 ∧ 1 1 ∨ 0.8 + 1 ∧ 0.7 1 ∨ 0.6 + 1 ∧ 0.6 1 ∨ 0.3 = 1 1 + 0.7 1 + 0.6 1                               = ( 1 , max { 1 , 0.7 , 0.6 } ) ⇒ { ( ( x 1 , 1 ) , 1 ) } ,

A ˜ ˜ ∪ X ˜ ˜     for   x 2 : μ A ˜ ˜ ∪ X ˜ ˜ ( x 2 ) = 1 ∧ 0.9 1 ∨ 0.8 + 1 ∧ 1 1 ∨ 0.5 + 1 ∧ 0.5 1 ∨ 0.4 = 0.9 1 + 1 1 + 0.5 1                               = ( 1 , max { 1 , 0.9 , 0.5 } ) ⇒ { ( ( x 2 , 1 ) , 1 ) }

A ˜ ˜ ∪ X ˜ ˜ = X ˜ ˜

A ˜ ˜ ∩ X ˜ ˜     for   x 1 : μ A ˜ ˜ ∩ X ˜ ˜ ( x 1 ) = 1 ∧ 1 1 ∧ 0.8 + 1 ∧ 0.7 1 ∧ 0.6 + 1 ∧ 0.6 1 ∧ 0.3 = 1 0.8 + 0.7 0.6 + 0.6 0.3                               = { ( ( x 1 , 0.8 ) , 1 ) , ( ( x 1 , 0.6 ) , 0.7 ) , ( ( x 1 , 0.3 ) , 0.6 ) }

A ˜ ˜ ∩ X ˜ ˜ = { ( ( x 1 , 0.8 ) , 1 ) , ( ( x 1 , 0.6 ) , 0.7 ) , ( ( x 1 , 0.3 ) , 0.6 ) ,                                           ( ( x 2 , 0.8 ) , 0.9 ) , ( ( x 2 , 0.5 ) , 1 ) , ( ( x 2 , 0.4 ) , 0.5 ) } = A ˜ ˜

Then F ˜ ˜ = { X ˜ ˜ , ∅ ˜ ˜ , A ˜ ˜ } is general type-2 fuzzy topologies defined on X and the pair ( X , F ˜ ˜ ) is called general type-2 fuzzy topological space over X, every member of F ˜ ˜ is called type-2 fuzzy open sets.

Theorem 5: Let { F ˜ ˜ r : r ∈ ℝ } be a family of all general type-2 fuzzy topologies on X ; then ∩ r ∈ ℝ F ˜ ˜ r is general type-2 fuzzy topologies on X.

proof: we must prove three conditions of topologies,

1) ∅ ˜ ˜ , X ˜ ˜ ∈ { F ˜ ˜ r : r ∈ ℝ } ⇒ ∅ ˜ ˜ , X ˜ ˜ ∈ ∩ r ∈ ℝ F ˜ ˜ r .

2) Let { A ˜ ˜ i : i ∈ ℕ } ⊆ ∩ r ∈ ℝ F ˜ ˜ r , then A ˜ ˜ i ∈ F ˜ ˜ r for all i ∈ ℕ so

thus ∪ i ∈ ℕ A ˜ ˜ i ∈ ∩ r ∈ ℝ F ˜ ˜ r .

3) Let A ˜ ˜ , B ˜ ˜ ∈ ∩ r ∈ ℝ F ˜ ˜ r , then A ˜ ˜ , B ˜ ˜ ∈ F ˜ ˜ r and because F ˜ ˜ r are all general type-2 fuzzy topologies A ˜ ˜ ∩ B ˜ ˜ ∈ F ≈ r for all r ∈ ℝ , so A ˜ ˜ ∩ B ˜ ˜ ∈ ∩ r ∈ ℝ F ˜ ˜ r .

Remark 6: Let ( X , F ˜ ˜ 1 ) and ( X , F ˜ ˜ 2 ) be two general type-2 fuzzy topological spaces over the same universe X then ( X , F ˜ ˜ 1 ∪ F ˜ ˜ 2 ) need not be general type-2 fuzzy topological space over X, we can see that in example 3.7.

Example 7: Let X = { x 1 , x 2 } and F ˜ ˜ 1 = { X ˜ ˜ , ∅ ˜ ˜ , A ˜ ˜ } , F ˜ ˜ 2 = { X ˜ ˜ , ∅ ˜ ˜ , B ˜ ˜ } be two general type-2fuzzy topologies defined on X where A ˜ ˜ , B ˜ ˜ , ∅ ˜ ˜ and X ˜ ˜ defined as follows: ∅ ˜ ˜ = { ( ( x 1 , 0 ) , 1 ) , ( ( x 2 , 0 ) , 1 ) } ,

X ˜ ˜ = { ( ( x 1 , 1 ) , 1 ) , ( ( x 2 , 1 ) , 1 ) }

A ˜ ˜ = { ( ( x 1 , 0.8 ) , 1 ) , ( ( x 1 , 0.6 ) , 0.7 ) , ( ( x 1 , 0.3 ) , 0.6 ) ,                     ( ( x 2 , 0.8 ) , 0.9 ) , ( ( x 2 , 0.5 ) , 1 ) , ( ( x 2 , 0.4 ) , 0.5 ) } .

B ˜ ˜ = { ( ( x 1 , 0.5 ) , 1 ) , ( ( x 1 , 0.6 ) , 0.2 ) , ( ( x 2 , 0.3 ) , 0.7 ) , ( ( x 2 , 0.9 ) , 1 ) } .

Let F ˜ ˜ 1 ∪ F ˜ ˜ 2 = { ∅ ˜ ˜ , X ˜ ˜ , A ˜ ˜ , B ˜ ˜ } so ( X , F ˜ ˜ 1 ∪ F ˜ ˜ 2 ) is not general type-2 fuzzy topological space over X since A ˜ ˜ ∩ B ˜ ˜ ∉ F ˜ ˜ 1 ∪ F ˜ ˜ 2 .

Definition 8: Let ( X , F ˜ ˜ ) be general type-2 fuzzy topological space over X and let A ˜ ˜ be type-2 fuzzy set over X. Then the type-2 fuzzy interior of A ˜ ˜ , denoted by int ( A ˜ ˜ ) , is defined as the union of all type-2 fuzzy open sets contained in A ˜ ˜ . That is,

int ( A ˜ ˜ ) = ∪ { G ˜ ˜ i : G ˜ ˜ i   type-2   fuzzy   open   sets   in   X , G ˜ ˜ i ⊆ A ˜ ˜ , i ∈ ℕ } , int ( A ˜ ˜ ) is the largest type-2 fuzzy open set contained in A ˜ ˜ .

Theorem 9: Let ( X , F ˜ ˜ ) be general type-2 fuzzy topological space over X, and let A ˜ ˜ , B ˜ ˜ be two type-2 fuzzy sets in X. Then

1) int ( ∅ ˜ ˜ ) = ∅ ˜ ˜ and int ( X ˜ ˜ ) = X ˜ ˜ .

2) int ( A ˜ ˜ ) ⊆ A ˜ ˜ .

3) A ˜ ˜ is type-2 fuzzy open set if and only if int ( A ˜ ˜ ) = A ˜ ˜ .

4) int ( int ( A ˜ ˜ ) ) = int ( A ˜ ˜ ) .

5) A ˜ ˜ ⊆ B ˜ ˜ → int ( A ˜ ˜ ) ⊆ int ( B ˜ ˜ ) .

6) int ( A ˜ ˜ ∩ B ˜ ˜ ) = int ( A ˜ ˜ ) ∩ int ( B ˜ ˜ ) .

Proof:

1) int ( A ˜ ˜ ) = ∪ { G ˜ ˜ i : G ˜ ˜ i   type-2   fuzzy   open   sets   in   X , G ˜ ˜ i ⊆ A ˜ ˜ , i ∈ ℕ } , ∅ ˜ ˜ is type-2 fuzzy open set in F ˜ ˜ and ∅ ˜ ˜ ⊆ ∅ ˜ ˜ ⇒ int ( ∅ ˜ ˜ ) = ∅ ˜ ˜ .

Now to prove int ( X ˜ ˜ ) = X ˜ ˜ ,

int ( X ˜ ˜ ) = ∪ { G ˜ ˜ i : G ˜ ˜ i   type-2   fuzzy   open   sets   in   X , G ˜ ˜ i ⊆ X ˜ ˜ , i ∈ ℕ } , X ˜ ˜ is type-2 fuzzy open set in F ˜ ˜ and X ˜ ˜ ⊆ X ˜ ˜ ⇒ int ( X ˜ ˜ ) = X ˜ ˜ .

2) To prove int ( A ˜ ˜ ) ⊆ A ˜ ˜ , since int ( A ˜ ˜ ) = ∪ { G ˜ ˜ i : G ˜ ˜ i   type-2   fuzzy   open   sets   in   X , G ˜ ˜ i ⊆ A ˜ ˜ , i ∈ ℕ } , such that G ˜ ˜ i ⊆ A ˜ ˜ that is A ˜ ˜ is type-2 membership function μ A ˜ ˜ ( x , u ) where x ∈ X and u ∈ J X ⊆ [ 0 , 1 ] less than a type-2 membership function μ G ˜ ˜ i ( x , u ) where x ∈ X and w ∈ J X ⊆ [ 0 , 1 ] such that w ≤ u and μ G ˜ ˜ i ( x , u ) ≤ μ A ˜ ˜ ( x , u ) , sup { μ G ˜ ˜ i ( x , u ) ≤ μ A ˜ ˜ ( x , u ) , w ≤ u } hence ∪ G ˜ ˜ i ⊆ A ˜ ˜ ⇒ ∪ G ˜ ˜ i ⊆ int ( A ˜ ˜ ) , therefore int ( A ˜ ˜ ) ⊆ A ˜ ˜ .

3) If A ˜ ˜ is type-2 fuzzy open set, then A ˜ ˜ ⊆ int ( A ˜ ˜ ) , but int ( A ˜ ˜ ) ⊆ A ˜ ˜ from part (2), hence int ( A ˜ ˜ ) = A ˜ ˜ .

4) int ( A ˜ ˜ ) is a type-2 fuzzy open set and from part (3) we have int ( int ( A ˜ ˜ ) ) = int ( A ˜ ˜ )

5) If A ˜ ˜ ⊆ B ˜ ˜ and from part(2) int ( A ˜ ˜ ) ⊆ A ˜ ˜ , int ( B ˜ ˜ ) ⊆ B ˜ ˜ , then int ( A ˜ ˜ ) ⊆ A ˜ ˜ ⊆ B ˜ ˜ . Therefore int ( A ˜ ˜ ) ⊆ B ˜ ˜ and int ( A ˜ ˜ ) is a type-2 fuzzy open set contained in B ˜ ˜ , so int ( A ˜ ˜ ) ⊆ int ( B ˜ ˜ ) .

6) Because ( A ˜ ˜ ∩ B ˜ ˜ ) ⊆ A ˜ ˜ and ( A ˜ ˜ ∩ B ˜ ˜ ) ⊆ B ˜ ˜ , from part (5) int ( A ˜ ˜ ∩ B ˜ ˜ ) ⊆ int ( A ˜ ˜ ) and int ( A ˜ ˜ ∩ B ˜ ˜ ) ⊆ int ( B ˜ ˜ ) , thus int ( A ˜ ˜ ∩ B ˜ ˜ ) ⊆ int ( A ˜ ˜ ) ∩ int ( B ˜ ˜ ) , since int ( A ˜ ˜ ∩ B ˜ ˜ ) ⊆ A ˜ ˜ ∩ B ˜ ˜ , so int ( int ( A ˜ ˜ ) ) ∩ int ( B ˜ ˜ ) ⊆ ( A ˜ ˜ ∩ B ˜ ˜ ) from part(5) but int ( A ˜ ˜ ) ∩ int ( B ˜ ˜ ) is a type-2 fuzzy open sets then int ( int ( A ˜ ˜ ) ) ∩ int ( B ˜ ˜ ) ⊆ int ( A ˜ ˜ ∩ B ˜ ˜ ) from part(3).Hence int ( A ˜ ˜ ∩ B ˜ ˜ ) = int ( A ˜ ˜ ) ∩ int ( B ˜ ˜ ) .

Definition 10: Let ( X , F ˜ ˜ ) be general type-2 fuzzy topological space over X ˜ ˜ and let A ˜ ˜ be type-2 fuzzy set over X. Then the type-2 fuzzy closure of A ˜ ˜ , denoted by c l ( A ˜ ˜ ) , is defined as the intersection of all type-2 fuzzy closed sets containing A ˜ ˜ . That is

c l ( A ˜ ˜ ) = ∩ { M ˜ ˜ i : M ˜ ˜ i   type-2   fuzzy   closed   sets   in   X , A ˜ ˜ ⊆ M ˜ ˜ i , i ∈ ℕ } ,

c l ( A ˜ ˜ ) is the smallest type-2 fuzzy closed set containing A ˜ ˜ .

Theorem 11: Let ( X , F ˜ ˜ ) be general type-2 fuzzy topological space over X, and let A ˜ ˜ , B ˜ ˜ be two type-2 fuzzy sets in X. Then

1) c l ( ∅ ˜ ˜ ) = ∅ ˜ ˜ and c l ( X ˜ ˜ ) = X ˜ ˜ .

2) A ˜ ˜ ⊆ c l ( A ˜ ˜ ) .

3) A ˜ ˜ is type-2 fuzzy closed set if and only if c l ( A ˜ ˜ ) = A ˜ ˜ .

4) c l ( c l ( A ˜ ˜ ) ) = c l ( A ˜ ˜ ) .

5) A ˜ ˜ ⊆ B ˜ ˜ → c l ( A ˜ ˜ ) ⊆ c l ( B ˜ ˜ ) .

6) c l ( A ˜ ˜ ∩ B ˜ ˜ ) = c l ( A ˜ ˜ ) ∩ c l ( B ˜ ˜ ) .

Proof: The proof this theorem similar to the proof of theorem 3.7.

Definition 12: Let ( X , F ˜ ˜ ) be a general type-2 fuzzy topological space over X and N ˜ ˜ ⊆ F ˜ ˜ . Then is said to be a neighborhood or nbhd for short, of a type-2 fuzzy set A ˜ ˜ if there exist a type-2 fuzzy open set W ˜ ˜ such that A ˜ ˜ ⊆ W ˜ ˜ ⊆ N ˜ ˜ .

Proposition 13: A type-2 fuzzy set A ˜ ˜ is open if and only if for each type-2 fuzzy set B ˜ ˜ contained in A ˜ ˜ , A ˜ ˜ is a neighborhood of B ˜ ˜ .

Proof: If A ˜ ˜ is open and B ˜ ˜ ⊆ A ˜ ˜ then A ˜ ˜ is a neighborhood of B ˜ ˜ . Conversely, since A ˜ ˜ ⊆ A ˜ ˜ , there exists a type-2 fuzzy open set W ˜ ˜ such that A ˜ ˜ ⊆ W ˜ ˜ ⊆ A ˜ ˜ . Hence A ˜ ˜ = W ˜ ˜ and A ˜ ˜ is open.

Definition 14: Let ( X , F ˜ ˜ ) be a general type-2 fuzzy topological space over X

and B ˜ ˜ be a subfamily of F ˜ ˜ . If every member of F ˜ ˜ can be written as the type-2 fuzzy union of some members of B ˜ ˜ , then B ˜ ˜ is called a type-2 fuzzy base for the general type-2 fuzzy topology F ˜ ˜ . We can see that if B ˜ ˜ be type-2 fuzzy base for F ˜ ˜ then F ˜ ˜ equals the collection of type-2 fuzzy unions of elements of B ˜ ˜ .

Definition 15: Let ( X , F ˜ ˜ ) and ( Y , S ˜ ˜ ) be two general type-2 fuzzy topological space.The general type-2 fuzzy topological space Y is called a subspace of the general type-2 fuzzy topological space X if Y ⊆ X and the open subsets of Y are precisely of the form F ˜ ˜ Y ˜ ˜ = { Y ˜ ˜ = Y ˜ ˜ ∩ X ˜ ˜ : X ˜ ˜ ∈ F ˜ ˜ } . Here we may say that each open subset Y ˜ ˜ of Y is the restriction to Y ˜ ˜ of an open subset X ˜ ˜ of X. That is, ( Y , S ˜ ˜ ) is called a subspace of ( X , F ˜ ˜ ) if the type-2 fuzzy open sets of Y are the type-2 fuzzy intersection of open sets of X with Y ˜ ˜ .

4. Conclusion

The main purpose of this paper is to introduce a new concept in fuzzy set theory, namely that of general type-2 fuzzy topological space. On the other hand, type-2 fuzzy set is a kind of abstract theory of mathematics. First, we present definition and properties of this set before introducing definition of general type-2 fuzzy topological space with the structural properties such as open sets, closed sets, interior, closure and neighborhoods in general type-2 fuzzy set topological spaces and some definitions of a type-2 fuzzy base and subspace of general type-2 fuzzy sets.

Acknowledgements

Great thanks to all those who helped us in accomplishing this research especially Prof. Dr. Kamal El-saady and Prof. Dr. Sherif Abuelenin from Egypt for us as well as all the workers in the magazine.

Conflicts of Interest

The authors declare no conflicts of interest.

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