-9095-4ea5-9aff-32ba7f331d92.jpg width=206.625 height=32.775  />

4) A general fuzzifying operation is said to be of type if; equivalently, where and are dual.

5) A general fuzzifying operation is said to be of type if for any

Example 2.1

1) From Theorem 2.4 we have , and are of type and each member of them is monotone from Theorem 2.2.

2) The fuzzifying operations, and and the fuzzifying operations, and are dual respectively (see Theorem 2.3).

3) From Theorem 2.1 (3), is of type.

4) From Theorem 2.5, one can easily deduce that:

a)

b)

c)

d)

e)

f)

g)

Note: In the rest of this paper always.

3. Fuzzifying Open Sets

In this section the concepts of fuzzifying ∆-open sets, C∆-open sets, ∆-closed sets and C∆-closed sets are introduced and some of their properties are discussed.

Definition 3.1 1) The family of all fuzzifying ∆-open sets, denoted by is defined as follows:

i.e.,

2) The family of all fuzzifying C∆-open sets, denoted by is defined as follows:

i.e.,

3) The family of all fuzzifying ∆ (resp. C∆-closed sets, denoted by (resp.) is defined as follows:

Definition 3.2 1) If (resp., , the notion of fuzzifying ∆-open sets coincides with the notion of fuzzifying open (resp. - open, semi-open, pre-open, -open, -open) sets and will be denoted by (resp.);

2) If (resp., the notion of fuzzifying C∆-open sets coincides with the notion of fuzzifying (resp. csemi, cpre, ,)- open sets and will be denoted by (resp.,);

3) If (resp., the notion of fuzzifying -closed sets coincides with the notion of fuzzifying closed (resp. -closed, semiclosed, pre-closed, -closed, -closed) sets and will be denoted by (resp.);

4) If (resp., the notion of fuzzifying C∆-closed sets coincides with the notion of fuzzifying (resp. csemi, cpre, ,)-closed sets and will be denoted by (resp.);

Theorem 3.1 1) If ∆ is of type O1, then

a)

b)

2) If ∆ is monotone, then a) for any

b) for any

Proof. 1) a)

b)

2) a) Since is monotone, then

b) For any

(see Lemma 1.1 (1) [14]). Since ∆ is monotone, then from Theorem 2.1 (3) we have

Corollary 3.1 1) a)

b) for any

2) a)

b) for any

Theorem 3.2 1) If ∆ is of type O1, then

a)

b)

2) If ∆ is monotone, then a) for any

b) for any

Proof. It is immediate from Theorem 3.1.

Corollary 3.2 1) a)

b)

2) a) for any

b) for any

Theorem 3.3 1)

2), where is the dual of

Proof.

1)

2)

Corollary 3.3

1)

2)

Theorem 3.4 Let

1) If, a) b) c) d)

2) a) b)

Proof.

1) a)

b) From a) above, we have

c)

d) From (c) above, we have

2) a)

b) From a) above, we have

Corollary 3.4 1) a) i) ii) iii) iv) (v) (vi)

b) i) ii) iii) iv) v) vi)

c) i) ii) iii) iv) v)

d) i) ii) iii) iv) v)

2) a)

b)

Corollary 3.5

1) a) b) c) d)

2) a) b) c) d)

Theorem 3.5 Let for each

1)

2)

Proof. 1) Since and then Thus

2) Since for every then one can deduce that for every Also, since one can have that From Theorem 3.3 (2) we have

Corollary 3.6 For any

1)

2)

Remark 3.1 In crisp setting, i.e., if the underlying fuzzifying topology is the ordinary topology, one can have

Of course the implication “®” in (*) is either the Łukaciewicz’s implication or the Boolean’s implication since these implications are identical in crisp setting. But in fuzzifying setting the statement (*) may not be true as illustrated by the following example.

Example 3.1 Let and be a fuzzifying topology on X defined as follows:'

;

and

From the definitions of the interior and the closure of a subset of X and the definitions of the interior and the closure of a fuzzy subset of X and some calculations we have:

and

So,

Theorem 3.6 Let for each Then

1)

2)

Proof. 1) It is obtained from Theorem 2.4 (1)(a) and (2)(a).

2)

Corollary 3.7

1)

2)

Theorem 3.7 Let for each If for every, or then

1)

2)

Proof. Using Theorem 3.6 it remains to prove the following

1) Suppose that Then for each we have So

Now, suppose that Since, then

For each we have Thus,

2) The proof is similar to 1).

Corollary 3.8 If for every or (resp. or or or or then

1)

2)

Theorem 3.8 Let be a monotone. Then

Proof.

First, we have On the other hand, Suppose that Then for any we have Since is monotone, then by Theorem 3.1 (2)(a) we have

By completely distributive law we have

Corollary 3.9

Remark 3.2 The following are valid in crisp setting:

1)

2)

3)

but in fuzzifying setting these statement may not be true by the following example.

Example 3.2 From Example 3.1 we have

1)

2)

3)

4. Fuzzifying Neighborhood Structure of a Point

In this section the concepts of ∆-neighborhood system and C∆-neighborhood system of a point are presented and a fuzzifying topology induced by C∆-neighborhood system is obtained.

Definition 4.1 The fuzzifying ∆-(resp. C∆-) neighborhood system of, denoted by (resp.), is defined as follows:

i.e.,

.

Definition 4.2 Let.

1) If (resp., the fuzzifying ∆-neighborhood system of coincides with the fuzzifying (resp. fuzzifying -, fuzzifying semi-, fuzzifying pre-, fuzzifying -, fuzzifying -) neighborhood system of and will be denoted by (resp.);

2) If (resp., the fuzzifying C∆-neighborhood system of coincides with the fuzzifying - (resp. fuzzifying csemi-, fuzzifying cpre-, fuzzifying -, fuzzifying -) neighborhood system of and will be denoted by (resp.).

Theorem 4.1 Let ∆ be a monotone.

1)

2)

Proof. Using Theorem 3.8 we have

2) From 1) the proof is immediate.

Corollary 4.1 Let be a fuzzifying topological space.

1)

1)

Theorem 4.2 The mapping, , has the following properties:

1) If is of type, then is normal for any;

2) For any

3) For any

4) If is monotone, then for any

5) If is of type, then

Proof. 1) Since is of type, then

2) If, then the results holds. Suppose. Then there exists such that. Now, we have Thus holds always.

3) If, then the result holds. Now, suppose that Then we have

.

4) Since is monotone, then from Theorem 4.1 a) we have

5)

Corollary 4.2 The mapping N

has the following properties:

1) For any, is normal;

2) For any

3) For any

4) For any

5) For any

Theorem 4.3 The mapping , has the following properties:

1) If is of type, then is normal for any;

2) For any

3) For any

4) If is monotone, then or any

Conversely, if a mapping satisfies 1), 3) and 4), then it assigns a fuzzifying topology on X, denoted by, is defined as follows:

Proof. Since is normal and satisfies properties (2) and (3) in Theorem 4.2, then is a fuzzifying topology on. The rest of the proof is similar to the proof of Theorem 4.2.

Corollary 4.3 The mapping

has the following properties:

1) is normal for any;

2) For any

3) For any

4) If is monotone, then or any

5) The mapping assigns a fuzzifying topology on X, denoted by , is defined as follows:

Theorem 4.4 If ∆ is of type and monotone, then

Proof. Let Then

Corollary 4.4 1) 2) 3) 4) (5)

5. Closure and Interior Operations in Fuzzifying Topology

The purpose of this section is to establish the concepts of fuzzifying ∆- and C∆-derived sets, fuzzifying ∆- and C∆-closure operation and fuzzifying ∆- and C∆-interior operation and study some of their properties.

Definition 5.1 The fuzzifying ∆- (resp. C∆-) derived set (resp.) of is defined as follows:

i.e.,

.

Definition 5.2 For

1) If (resp., the notion of fuzzifying ∆-derived set of coincides with the notion of fuzzifying derived (resp. - derived, semi-derived, pre-derived, -derived, -derived) set and will be denoted by

;

2) If (resp., the notion of fuzzifying c∆-derived set of coincides with the notion of fuzzifying derived (resp. -derived, csemi-derived, cpre-derived, -derived, -derived) set and will be denoted by

.

Theorem 5.1 For every we have

1)

2)

Proof. 1) Using Theorem 4.3 3) we have

2) It is similar to the proof. of 1).

Corollary 5.1

1) a)

b)

c)

d)

e)

f)

2) a)

b)

c)

d)

e)

Theorem 5.2 For every we have

1) If ∆ is monotone, then

2) If ∆ is of type and monotone, then

.

Proof. Using Theorem 4.1 (2) we have 1)

2) It is similar to 1).

Corollary 5.2

1) a)

b)

c)

d)

e)

f)

2) a)

b)

c)

d)

e)

Definition 5.3 The fuzzifying ∆-(resp. C∆-) closure (resp.) of is defined as follows:

i.e.,

.

Definition 5.4 1) If (resp., the notion of fuzzifying ∆-closure of coincides with the notion of fuzzifying closure (resp. -closure, semi-closure, pre-closure, -closure, -closure) operation and will be denoted by

;

2) If (resp., the notion of fuzzifying C∆-closure of coincides with the notion of fuzzifying (resp. csemi, cpre, ,)-closure operation and will be denoted by

.

Theorem 5.3 For every we have

1)

2)

Proof.

1)

2) It is similar to the proof of (1).

Corollary 5.3

1) a)

b)

c)

d)

e)

f)

2) a)

b)

c)

d)

e)

Theorem 5.4 For every and we have

1) If ∆ is of type O1, then a)

b)

2) a)

b)

3) a)

b)

4) a)

b)

5) a)

b) If ∆ is of type O1 and monotone, then

Proof. We prove only a) of each statements since b) is similar.

1) a)

2) a) It is clear that for any and in case of Now, suppose that Then Therefore

3) a) Using Theorem 5.1 (1) and (2) above, we have

4) a)

5) a) Since then from Theorem 5.2 (1) and (3) (a) above we have

because for any

Corollary 5.4

1) a); b); c); d); e); f); g); h); i); j); k);

2) for any, a); b); c); d); e); f); g); h); i); j); k).

3) for any, a); b) ; c); d); e); f); g); h); i); j); k).

4) for any anda);

b)A Unified Theory (I) for Neighborhood Systems and Basic Concepts on Fuzzifying Topological Spaces

Applied Mathematics
Vol.3 No.9(2012), Article ID:22998,14 pages DOI:10.4236/am.2012.39146

A Unified Theory (I) for Neighborhood Systems and Basic Concepts on Fuzzifying Topological Spaces

Osama Rashed Sayed

Department of Mathematics, Faculty of Science, Assiut University, Assiut, Egypt

Email: o_r_sayed@yahoo.com

Received September 10, 2011; revised August 7, 2012; accepted August 14, 2012

Keywords: Łukasiewicz Logic; Semantics; Fuzzifying Topology

ABSTRACT

This paper considers fuzzifying topologies, a special case of I-fuzzy topologies (bifuzzy topologies), introduced by Ying [25]. It investigates topological notions defined by means of -open sets when these are planted into the framework of Ying’s fuzzifying topological spaces (by Łukasiewicz logic in [0, 1]). In this paper we introduce some sorts of operations, called general fuzzifying operations from to , where is a fuzzifying topological space. By making use of them we contract neighborhood structures, derived sets, closure operations and interior operations.

1. Introduction

In the last few years fuzzy topology, as an important research field in fuzzy set theory, has been developed into a quite mature discipline [1-6]. In contrast to classical topology, fuzzy topology is endowed with richer structure, to a certain extent, which is manifested with different ways to generalize certain classical concepts. So far, according to Ref. [2], the kind of topologies defined by Chang [7] and Goguen [8] is called the topologies of fuzzy subsets, and further is naturally called L-topological spaces if a lattice L of membership values has been chosen. Loosely speaking, a topology of fuzzy subsets (resp. an L-topological space) is a family of fuzzy subsets (resp. L-fuzzy subsets) of nonempty set X, and satisfies the basic conditions of classical topologies [9]. On the other hand, Höhle in [10] proposed the terminology L-fuzzy topology to be an L-valued mapping on the traditional powerset of X. The authors in [4,5,11,12] defined an L-fuzzy topology to be an L-valued mapping on the L-powerset LX of X. In 1952, Rosser and Turquette [13] proposed emphatically the following problem: If there are many-valued theories beyond the level of predicates calculus, then what are the detail of such theories? As an attempt to give a partial answer to this problem in the case of point set topology, Ying in 1991 [14,15] used a semantical method of continuousvalued logic to develop systematically fuzzifying topology. Briefly speaking, a fuzzifying topology on a set X assigns each crisp subset of X to a certain degree of being open, other than being definitely open or not. In factfuzzifying topologies are a special case of the L-fuzzy topologies in [11,12] since all the t-norms on I are included as a special class of tensor products in these paper. Ying uses one particular tensor product, namely Łukasiewicz conjunction. Thus his fuzzifying topologies are a special class of all the I-fuzzy topologies considered in the categorical frameworks [11,12]. Roughly speaking, the semantical analysis approach transforms formal statements of interest, which are usually expressed as implication formulas in logical language, into some inequalities in the truth value set by truth valuation rules, and then these inequalities are demonstrated in an algebraic way and the semantic validity of conclusions is thus established. So far, there has been significant research on fuzzifying topologies [16-21]. In 1979, several characterizations of compactness are unified by the operation introduced by Kasahara [22]. Also, he studied the concept of -continuity (where is an operation) and defined some types of spaces by using this operation. In 1981, the concept of other type of continuity which generalizes the -continuity [22] was introduced by Jankoviĉ [23]. In 1983, Abd El-Monsef, et al. [24] introduced an operation on the family of all closed sets in the topological space which is dual to the operation . In 1991, Kerre et al. [25] introduced an extension of the concept of an operation on the class of all fuzzy sets on X endowed with Chang fuzzy topology [7]. It was shown that a lot of characterizations and properties of many concepts and stronger forms can be unified by using this notion. In 1991, Kandil et al. [26] applied the concept of the operation defined in [25] to unify and generalize several characterizations and properties of a lot of already existing weaker and stronger forms of fuzzy continuity. A basic structure of this paper is as follows: First, in Section 2 we offer some definition and results which will be needed in this paper. In Section 3 the concepts of fuzzifying ∆-open sets, C∆-open sets, ∆-closed sets and C∆-closed sets are introduced and some of their properties are discussed. In Section 4 the fuzzifying ∆- and C∆-neighborhood systems are presented and a fuzzifying topology induced by C∆- neighborhood system is introduced. In Section 5 the concepts of fuzzifying ∆- and C∆-derived sets, ∆- and C∆-closure operations and ∆- and C∆-interior operations were established and some of their properties are studied. Finally, in Section 6, we summarize the main results obtained and raise some related problems for further study. Thus we fill a gap in the existing literature on fuzzifying topology.

Note: All corollaries in this paper are results in [14- 21].

2. Preliminaries

We present the fuzzy logical and corresponding set theoretical notations [14,15] since we need them in this paper.

For any formula, the symbol means the truth value of, where the set of truth values is the unit interval [0, 1]. We write if for any interpretation. Also, is the family of all fuzzy sets in X. The truth valuation rules for primary fuzzy logical formulae and corresponding set theoretical notations are:

1) a);

b);

c).

2) If

3) If X is the universe of discourse, then

.

In addition the truth valuation rules for derived formulae are:

1);

2);

3)

4);

5);

6) If, then

a)

b);

c).

We give now the following definitions and results in fuzzifying topology [14-21] which are used in the sequel.

Definition 2.1 [14]. Let X be a universe of discourse, and satisfy the following conditions:

1);

2) for any

3) for any

Then is a fuzzifying topology and is a fuzzifying topological space.

Note: In the rest of this paper (or briefly X) is always fuzzifying topological space.

Definition 2.2 [14] The family of all fuzzifying closed sets, denoted by is defined as where is the complement of A.

Definition 2.3 [14] The neighborhood system of is defined as

Definition 2.4 [15] The interior or of is defined as

Definition 2.5 (Lemma 5.2. [14]). The closure or of A is defined as. In Theorem 5.3 [14], Ying proved that the closure

sssis a fuzzifying closure operator since its extension , where is the -cut of A and satisfies the following Kuratowski closure axioms:

1)

2) for any

3) for any

4) for any

Definition 2.6 [18] For any,

.

Theorem 2.1 [18] For any

1)

2)

3)

4)

Theorem 2.2 [18] For any, if then

1)

2)

3)

4)

5)

6)

Theorem 2.3 For any

1) [19];

2) [18];

3) [18];

4) [16].

Theorem 2.4

1)

2)

3)

4)

Theorem 2.5 For any

1) [19];

2)

3)

4)

5)

Theorem 2.6 For any

1)

2) [17];

3) [16].

Definition 2.7 Let X be a non-empty set.

1) By the symbol we denote the set of all functions from into. Each member of will be called a general fuzzifying operation.

2) Let.

a) We say that, if for each

b) We say that and are dual if

equivalently

for each

3) A general fuzzifying operation is said to be monotone if ;

c);

d);

e);

f);

g);

h);

i);

j);

k).

5) for anya);

b);

c);

d);

e);

f);

g);

h);

i);

j);

k).

Theorem 5.5 For every we have

1)

2)

Proof. 1) Suppose Then and the results holds. Now, suppose Then and So

Let Then For any , i.e., there exists such that and. Now we want to prove. If not, then there exist with Hence

and this is a contradiction. Therefore

Since t is arbitrary, it holds that

2) The proof is similar to 1).

Corollary 5.5 For any A and B.

1) a);

b);

c);

d);

e);

e);

2) a);

b);

c);

d);

e).

Definition 5.5 The fuzzifying ∆-(resp. C∆-) interior (resp.) of is defined as follows:

.

Definition 5.6 1) If (resp., the notion of fuzzifying -interior of coincides with the notion of fuzzifying interior (resp. -interior, semi-interior, pre-interior, -interior, -interior) operation and will be denoted by

;

2) If (resp., the notion of fuzzifying -interior of coincides with the notion of fuzzifying (resp. csemi, cpre, ,)-interior operation and will be denoted by

.

Theorem 5.6 For every we have

1) a)

b) if is of type O1 and monotone, then

2) a)

b) if is of type O1 and monotone, then

3) a)

b) if is of type O1 and monotone, then

4) a)

b)

5) a)

b)

Proof. We prove only a) of each statements since b) is similar.

First, we prove 2) a) If then Now, suppose that Then we have

3) a)

4) a) If

If

Thus

5) a) Follows from Theorem 5.3 (1).

Finally, we prove 1) a). From 5) a) and Theorem 5.5 1) we have

Corollary 5.6 For any

1) a);

b);

c);

d);

e);

f);

g);

h);

i);

j);

k);

2) a);

b);

c);

d);

e);

f);

g);

h);

i);

j);

k);

3) a);

b);

c);

d);

e);

f);

g);

h);

i);

j);

k);

4) a);

b);

c);

d);

e);

f);

g);

h);

i);

j);

k);

5) a);

b);

c);

d);

e);

f);

g);

h);

i);

j);

k).

6. Conclusions

The present paper investigates topological notions when these are planted into the framework of Ying’s fuzzifying topological spaces (in semantic method of continuous valued-logic). It continue various investigations into fuzzy topology in a legitimate way and extend some fundamental results in general topology to fuzzifying topology. An important virtue of our approach (in which we follow Ying) is that we define topological notions as fuzzy predicates (by formulae of Łukasiewicz fuzzy logic) and prove the validity of fuzzy implications (or equivalences). Unlike the (more wide-spread) style of defining notions in fuzzy mathematics as crisp predicates of fuzzy sets, fuzzy predicates of fuzzy sets provide a more genuine fuzzification; furthermore the theorems in the form of valid fuzzy implications are more general than the corresponding theorems on crisp predicates of fuzzy sets. The main contributions of the paper are to study some sorts of operations, called general fuzzifying operations. There are some problems for further study:

1) Apply the general fuzzifying operation to convergence theory, continuity, separation axioms etc.

2) What is the justification of these concepts in the setting of (2, L) topologies.

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