Abstract
In this paper, graded fuzzy topological spaces based on the notion of neighbourhood system of graded fuzzy neighbourhoods at ordinary points are introduced and studied. These graded fuzzy neighbourhoods at ordinary points and usual subsets played the main role in this study.
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Public Interest Statement
Separation axioms depend on the concept of neighbourhoods and so, for the fuzzy case, fuzzy neighbourhoods or valued fuzzy neighbourhoods means neighbourhoods with some degree in [0, 1] . These grades to be a fuzzy neighbourhood forced the fuzzy separation axioms to be graded. In the fuzzy case, separation axioms are not sharp concepts. For example, there is no topological space, but there are topological spaces depending on the existence of the fuzzy neighbourhood with grade at a point or the existence of the fuzzy neighbourhood with grade at the other distinct point. In this paper, I introduced these graded fuzzy separation axioms. The main section was for defining a fuzzy neighbourhood system of fuzzy graded neighbourhoods at ordinary points and usual subsets.
1. Introduction
Kubiak (Citation1985) and Sǒstak (Citation1985) introduced the fundamental concept of a fuzzy topological structure as an extension of both crisp topology and fuzzy topology Chang (Citation1968), in the sense that both objects and axioms are fuzzified and we may say they began the graded fuzzy topology. Bayoumi and Ibedou (Citation2001,Citation2002,Citation2002b,Citation2004) introduced and studied the separation axioms in the fuzzy case in Chang’s topology (Citation1968) using the notion of fuzzy filter defined by Gähler (Citation1995a,Citation1995b).
Now, we will try to investigate fuzzy topological spaces in sense of Sstak, not using fuzzy filters but starting from a neighbourhood system of graded fuzzy neighbourhoods at ordinary points and usual sets. From that neighbourhood system, we can build a fuzzy topology in sense of Sstak and moreover, this fuzzy topology is itself the fuzzy topology in sense of Chang associated with the fuzzy neighbourhoterest Satementod filter (Gähler, Citation1995b) at ordinary point defined by Gähler. Interior operator and closure operator are defined using these graded fuzzy neighbourhoods; also their associated fuzzy topologies coincide with this fuzzy topology in sense of Chang associated with the fuzzy neighbourhood filter of Gähler. Fuzzy continuous, fuzzy open and fuzzy closed mappings are defined with grades according to these graded fuzzy neighbourhoods.
Separation axioms in the fuzzy case are introduced based on these graded fuzzy neighbourhoods and thus, axioms are graded. These axioms satisfy common results and implications. These graded axioms are a good extension in sense of Lowen (Citation1978). In Fuzzy neuro systems for machine learning for large data sets (Citation2009) and DCPE Co-Training for Classification (Citation2012), there are some applications based on fuzzy sets.
2. Preliminaries
Throughout the paper, let and .
A fuzzy topology is defined by Kubiak (Citation1985) and Sǒstak (Citation1985):
(1) | , | ||||
(2) | for all , | ||||
(3) | for any family of . |
For each fuzzy set , the weak cut-off f is given by ; the strong cut-off f is the subset of X, .
If T is an ordinary topology on X, then the induced fuzzy topology on X is given by .
fuzzy filters. Let X be a non- empty set. A fuzzy filter on X (Eklund, Citation1992; Gähler, Citation1995a) is a mapping such that the following conditions are fulfilled:
(F1) | holds for all and ; | ||||
(F2) | for all . |
A non-empty subset of is called a prefilter on X (Lowen, Lowen), provided that the following conditions are fulfilled:
(1) | ; | ||||
(2) | implies ; | ||||
(3) | and imply . |
is a prefilter on X.
Proposition 2.1
(Gähler, Citation1995a) There is a one-to-one correspondence between fuzzy filters on X and the families of prefilters on X which fulfill the following conditions:
(1) | implies . | ||||
(2) | implies . | ||||
(3) | For each with , we have . |
Proposition 2.2
(Eklund, Citation1992) Let A be a set of fuzzy filters on X. Then, the following are equivalent.
(1) | The infimum of A with respect to the finer relation of fuzzy filters exists, | ||||
(2) | For each non-empty finite subset of A, we have for all , | ||||
(3) | For each and each non-empty finite subset of , we have . |
Recall that and for all .
Fuzzy neighbourhood filters. For each fuzzy topological space and each , the mapping defined by (Gähler, Gahler):
is a fuzzy filter on X, called the fuzzy neighbourhood filter of the space at the point x, and for short is called a fuzzy neighbourhood filter at x. The mapping is defined by for all . The fuzzy neighbourhood filters fulfil the following conditions:
(1) | holds for all ; | ||||
(2) | for all and . |
The fuzzy neighbourhood filter at an ordinary subset F of X is the fuzzy filter on X defined in Bayoumi and Ibedou (Citation2002b), by means of , as:
The fuzzy filter is defined by holds for all . Also, recall that the fuzzy filter and the fuzzy neighbourhood filter at a fuzzy subset of X are defined by(1) (1)
respectively. holds for all (Bayoumi & Ibedou, Citation2004).
For each fuzzy topological space the closure operator which assigns to each fuzzy filter on X, the fuzzy filter is defined by(2) (2) is called the closure of . is isotone, hull and idempotent operator, that is for all fuzzy filters and on X, we have (Gähler, Citation1995b):(3) (3) (4) (4)
3. Neighbourhood systems
Definition 3.1
A family of fuzzy sets is said to be a neighbourhood system with grade on X if it satisfies the following conditions:
(Nb1) | For all , we have , | ||||
(Nb2) | , | ||||
(Nb3) | implies that , | ||||
(Nb4) | , imply that , | ||||
(Nb5) | If , then there is , such that for all with , we have . |
Lemma 3.2
These families of prefilters at satisfy the following conditions:
(Pr1) | implies that , | ||||
(Pr2) | implies that , | ||||
(Pr3) | For every with , we have . |
Proof
Clear.
Remark 3.3
For any subset A of X, let us define by , that is iff iff . , , , , . For all in , we have .
For any , we have , and implies that , and implies that . Also, for all , we have either or .
fuzzy open sets, fuzzy open sets.
Let us define an fuzzy open set as follows:(5) (5)
An fuzzy closed set is the complement of an fuzzy open set.
A set is said to be fuzzy open if it is fuzzy open for all . In other words, if for all and for all , we have and
It is called a fuzzy closed if it is the complement of a fuzzy open set. These notations are restricted to the usual open and closed sets in fuzzy topology and usual topology.
Starting from a neighbourhood system with grade , we can define an interior operator and a closure operator as follows:(6) (6) (7) (7) For every , satisfying (Nb1) to (Nb4) is exactly a prefilter on X of all neighbourhoods of with grade . That is, is a family of prefilters with grade at every constructing after adding condition (Nb5) a neighbourhood system on X with grade . The pair is called a neighbourhood space with a grade .
From Lemma 2.1 and from the correspondence given in Proposition 2.1 between the fuzzy filters and the families satisfying the conditions (Pr1) to (Pr3), we can say this family is a representation of the fuzzy neighbourhood filter as a family of prefilters. This is given by the following two conditions (Nb) and (Pr):
(Pr) | for all . | ||||
(Nb) | . |
Clearly, both the interior operator and closure operator satisfy the common axioms of interior operator and closure operator, respectively. A fuzzy topology on X could be generated by this interior operator given by (2.2) or this closure operator given by (2.3), using the properties of stated in (Nb1)—(Nb5). That fuzzy topology is exactly the fuzzy topology associated with the fuzzy neighbourhood filters given by an interior operation as in (2.2) so that
Also, we can consider(8) (8)
and then, (2.1) for an fuzzy open set could be rewritten as(9) (9)
That is, from a neighbourhood system of graded neighbourhoods, we can deduce interior operation by which it is introduced a graded fuzzy topology and the converse is true.
From (1.2) and (1.4) for all and all , we can define by(10) (10)
and equivalently,(11) (11)
For all and all , we have .
Definition 3.4
Let and be fuzzy topological spaces, and a map. Then, for some , f is called () fuzzy continuous if for all () fuzzy open set with respect to , we have is an () fuzzy open set with respect to for all .
f is called fuzzy continuous if for all fuzzy open set with respect to , we have is a fuzzy open set with respect to for all .
Definition 3.5
Let and be fuzzy topological spaces. Then, the mapping is called () fuzzy open (() fuzzy closed) mapping if the image f(g) of the () fuzzy open (() fuzzy closed) set g with respect to is () fuzzy open (() fuzzy closed) set with respect to .
The mapping is called fuzzy open (fuzzy closed) mapping if the image f(g) of the fuzzy open (fuzzy closed) set g with respect to is fuzzy open (fuzzy closed) set with respect to .
Now, we define the continuity locally at a point between two fuzzy topological spaces using these graded neighbourhoods.
Definition 3.6
Let and be two fuzzy topological spaces. Then, the mapping is called fuzzy continuous at a point provided that for all ,
there exists such that for some . f is fuzzy continuous if it is fuzzy continuous at every . f is an fuzzy continuous if it is fuzzy continuous for all .
This is an equivalent definition with Definition 2.2 for the fuzzy continuous mapping and fuzzy continuous mapping.
4. -spaces and -spaces
This section is devoted to introduce the notions of -spaces and -spaces using the notion of -neighbourhoods at ordinary points. We will introduce different equivalent definitions,
and we show that these notions are good extensions in sense of Lowen (Citation1978]).
Definition 4.1
A fuzzy topological space is called an -space if for all in X, there exists such that ; or there exists such that ; .
Definition 4.2
A fuzzy topological space is called an -space if for all in X there exist and such that and ; .
Example 4.3
Let , and Taking , we get that there is in such that . For all , we can not find any f in such that . That is, is an -space.
Example 4.4
Let , and
Only there is which is a graded neighbourhood but for both of x, y. Hence, for all , and therefore, is not -space.
Proposition 4.5
Every -space is an -space.
Proof
Clear.
Example 3.1 is an -space but not -space.
Example 4.6
Let , and Taking and , we get that there is in and in such that and , for some . Hence, is an -space.
In the following theorems, there will be introduced some equivalent definitions for the -spaces and -spaces.
Theorem 4.7
Let be a fuzzy topological space. Then, the following statements are equivalent.
(1) | is . | ||||
(2) | For all in X and for all , . | ||||
(3) | For all in X, there exists such that ; or there exists such that ; . | ||||
(4) | For all in X, there exists such that or there exists such that . |
Proof
: From (1), there is such that ; and then, and . Hence, ; and thus, (2) holds.
: There exists such that ; and then, for , we can say ; . The other case is similar and thus, (3) is satisfied.
: From Equation 2.3, we get that whenever , then (4) holds.
: Since implies that z could not be y with for all ; , which means that there is such that ; . The other case is similar and thus, (1) holds.
Theorem 4.8
Let be a fuzzy topological space. Then, the following statements are equivalent.
(1) | is . | ||||
(2) | For all , we have . | ||||
(3) | For all in X, there exist such that and ; . | ||||
(4) | For all in X, there exist such that and . |
Proof
: Let in X. Then, , which means for all , if whenever , then . From (1), we get that z could not be x with , that is, for all . At x, it is clear that . Hence, for all , and (2) is fulfilled.
: For all in X, we have and . (2) means that , which means for all , z could not be x with , that is there is and there is such that and then, . The other case is similar and therefore, (3) is fulfilled.
: As in Theorem 4.1.
: As in Theorem 4.1.
The next proposition shows that the separation axioms and are good extensions in sense of Lowen (Citation1978).
Proposition 4.9
A topological space (X, T) is a -space (-space) if and only if the induced fuzzy topological space is an -space (-space).
Proof
Let (X, T) be () and let . Then, there is a neighbourhood such that . Taking such that for some , we get , That is, for some . Similarly, if there is a neighbourhood such that , we can find such that and for some , That is, for some . Hence, is an -space ().
Conversely, let be an -space () and . Then, there exists such that for some , which means for some , that is there is such that and . Similarly, the other case is proved. Hence, (X, T) is a -space ().
Proposition 4.10
Let be an -space () and let be a fuzzy topology on X finer than . Then, is also -space (-space).
Proof
is an -space () implying that there is such that and or (and) there is such that and , which implies that or (and). Since is finer than , then or (and), and thus, and or (and) and . Hence is an -space ().
5. -spaces
Here, we introduce and study the Hausdorff separation axiom in fuzzy topological spaces.
Definition 4.11
An fuzzy topological space is called an -space if for all in X there exist and such that ; .
Proposition 4.12
Every -space is an -space.
Proof
Let be an -space but not -space. That is, for , we get for all that for all . Since for any we have , then and thus, which contradicts the axiom . Hence, is an -space.
Example 4.13
Let , and There are and such that, for and in , we get that and such that and . That is, is an -space. But for all fuzzy sets and , we get that and thus, is not -space.
Theorem 4.14
Let be an fuzzy topological space. Then, the following statements are equivalent.
(1) | is . | ||||
(2) | For all fuzzy ultrafilter on X and for all , there is such that ; or there is such that ; . | ||||
(3) | For all fuzzy filter on X and for all , there is such that ; or there is such that ; . |
Proof
: Suppose that there is an fuzzy ultrafilter on X such that and for all and . That is, , but in common we know that for all , which means that for all and , we have and therefore, (1) implies (2) is satisfied.
: Since for any fuzzy filter on X we find a finer fuzzy ultrafilter on X, that is for all , then (2) implies that there is such that ; or there is such that ; . Thus, (3) holds.
: Suppose for all and ; that and (3) is fulfilled. Then, for all fuzzy filter on X, we have or ; . Hence, , which means a contradiction to the common result that and therefore, . Thus, (1) is satisfied.
Example 4.15
Let , and There are and such that for and in , we get that in and in such that and thus, is an -space.
Proposition 4.16
A topological space (X, T) is a -space if and only if the induced fuzzy topological space is an -space.
Proof
Let in X. Then, there are such that . Taking such that for some , then and ; , that is and ; and then, and such that , which means that there is no element such that ; , which means for all , we have ; . Hence, ; and then, ; and thus, is an -space.
Conversely, implies that there are and such that ; . That is, for , we can say and , which means that , and moreover, and thus, (X, T) is a -space. (because if there is , then which is a contradiction).
Proposition 4.17
Let be an -space, and let be an fuzzy topology on X finer than . Then, is also an -space.
Proof
Let . Then, there are and such that ; , that is , and , which means that , and ; and thus, and in such that ; . Hence, is an -space.
6. -spaces and -spaces
In this section, we use fuzzy neighbourhood filters at ordinary sets to define the notions of -spaces and -spaces.
Definition 5.1
A fuzzy topological space is called regular if for all in P(X) and , there exist and such that ; .
Definition 5.2
A fuzzy topological space is called -space if it is regular and .
Definition 5.3
A fuzzy topological space is called normal if for all with , there exist and such that ; .
Definition 5.4
A fuzzy topological space is called if it is normal and .
Proposition 5.5
Every -space is an -space.
Proof
Let in X. is an -space meaning that for each . Now, , , and is regular implying that there are such that ; . Hence, is an -space.
Theorem 5.6
For each fuzzy topological space , the following are equivalent.
(1) | is regular. | ||||
(2) | For all and , we have and for all ; . | ||||
(3) | For all and all , we have . | ||||
(4) | For all , for all fuzzy filter on X, for all , and for all , we have implies . |
Proof
: Let ; . Suppose that for some , that is, there is with , which means that . Since for all , we have for all ; , then for some for all , and for all for some ; , which contradicts (1) and therefore, for all . Thus, for all . The other case is similar and hence, (2) is satisfied.
: From (2) we deduce that for all , we have for all implies . Hence, for all , , and all , we get that , which means that , but from that for all and for all , we get that for all and for all and thus, (3) holds.
: Let be a fuzzy filter on X with for all and . From (3), for all and and then, for all and and thus, (4) is fulfilled.
: Consider in (4), we get that for all and all . Now, for and , we get for all that , which means there are and . Choose and , then we can find and such that , and thus, for all a nd , there exist and such that ; , and therefore, (1) is satisfied.
Theorem 5.7
Let be a fuzzy topological space. Then, the following are equivalent.
(1) | is normal. | ||||
(2) | For all with , we have and for all ; . | ||||
(3) | For all , and all , we have . | ||||
(4) | For all , for all fuzzy filters on X, for all , and for all , we have implies . |
Proof
Similar to the Theorem 6.1.
Proposition 5.8
Every -space is an -space.
Proof
Let in X. Since is , then it is , which means that for all , which implies that we have and with . Hence, there are and such that ; and thus, is regular and it is . Therefore, is .
Example 5.9
Let , and We notice that is a closed set and . Then, there are and such that for and in , we get that in and in such that and thus, is an regular space. Also, it is an -space. Hence, is an -space
Example 6.2
Let , and We see that and are disjoint closed subsets of X. Then, there are and such that for and in , we get that in and in such that and thus, is an normal space. Also, it is an -space. Hence, is an -space
Proposition 5.11
A topological space (X, T) is if and only if the induced fuzzy topological space is .
Proof
(X, T) is iff is is proved in Proposition 4.2.
Let and in X. Then, there are such that . Taking in , we get that . Hence, there are and of x and F respectively, such that and thus, is an -space.
Conversely, and imply there are and for all such that ; . That is, and , which means that , and moreover, , and thus, (X, T) is a -space.
Proposition 5.12
A topological space (X, T) is iff the induced fuzzy topological space is an .
Proof
Similar to Proposition 6.3.
Proposition 6.5
Let be an -space, and let be an fuzzy topology on X finer than . Then, is also an -space.
Proof
Let and F be a closed subset of X with . Then, there are and such that ; , that is , for all and , which means that , for all and ; and thus, and in such that ; . Hence, is an regular space. Proposition 4.3 states that is an -space, and thus, it is an -space.
Proposition 6.6
Let be an -space and let be a fuzzy topology on X finer than . Then, is also an -space.
Proof
Similar to the proof in Proposition 6.5.
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References
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