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1. Introduction
The concept of fuzzy sets is an important concept in many fields. The concept was introduced by in 1965 [1]. The idea was welcomed because it addresses the uncertainty, something classical Cantor set theory could not address. Despite of some criticism expressed in the beginning by some specialists of mathematical logic, it has become an important subject in various fields and sciences. Zadeh writes in [1], “The notion of a fuzzy set provides a convenient point of departure for the construction of a conceptual framework which parallels in many respects the framework used in the case of ordinary sets, but is more general than the latter and potentially, may prove to have a much wider scope of applicability particularly in the fields of pattern classification and information processing.”
Fuzzy set theory provides a natural way to deal with inaccuracy and a strict mathematical framework for the study of uncertain phenomena and concepts. It can also be considered as a modeling language, well suited for situations in which fuzzy relations criteria and phenomena exist. Despite the slow growth and progress of fuzzy set theory before the mid-1970s, the theory developed greatly afterward. This was caused by the first successful application of the theory to technological processes, in particular to systems based on ambiguous control rules called fuzzy control and boosted the interest in this area considerably.
The concept of general topology is one of the most important mathematical topics and has wide applications in many applied sciences and mathematical subjects. The notion of fuzzy sets naturally plays a very significant role in the study of fuzzy topology introduced by Chang in 1968 [2]. Pu and Liu in 1980 [3] introduced the concept of quasi-coincidence and q-neighbourhoods by which the extensions of functions in fuzzy setting can very interestingly and effectively be carried out. The concept of an ideal in a topological space was first introduced by Kuratowski in 1966 [4] and Vaidyanathswamy in 1945 [5]. They also defined local functions in an ideal topological space. Furthermore, Jankovic and Hamlet in 1990 [6] studied the properties of ideal topological spaces and introduced another operator called the
The concept of supra topology was introduced by Mashhour et al. in 1983 [7]. It is fundamental with respect to the investigation of general topological spaces. In 2016, Al-shami [8] discussed the concepts of compactness and separation axioms on supra topological spaces. Then, Al-Shami [9, 10] and Al-shami et al. [11] presented new types of supra compact spaces using supra
Abd El-Monsef and Ramadan in 1987 [18] introduced the concept of fuzzy supra topological as a natural generalization of the notion of supra topology spaces. In addition to that, some properties of the concept of ideal supra topological spaces are obtained by Modak and Mistry in 2012 [19]. In 2015 [20], further properties of ideal supra topological spaces are investigated.
In this paper, we introduce the notion of fuzzy ideals in fuzzy supra topological spaces.
Section-wise description of the work carried out in this paper is given. Beginning with an introduction, necessary notation and preliminaries have been given.
In Section 3, the concept of a fuzzy s-local function is also introduced here by utilizing.
In Section 4, we give the s-neighbourhood structure for a fuzzy supra topological space. These concepts are discussed with a view to find new fuzzy supra topologies from the original one. The basic structure, especially a basis for such generated fuzzy supra topologies, and several relations between different fuzzy ideals and fuzzy supra topologies are also studied here.
In Section 5, we introduce a fuzzy set operator
In Section 6, we introduce some sets of fuzzy ideal supra topological spaces (fuzzy
2. Preliminaries
Definition 1.
(see [1]). Let X be a nonempty set. A fuzzy set A in X is characterized by its membership function
Definition 2.
(see [1]). Let A and B be fuzzy sets of the form
(1)
(2)
(3)
(4)
(5)
(6)
Definition 3.
(see [1]). For any family
(1)
(2)
Definition 4.
(see [21]). A fuzzy set in X is called a fuzzy point if and only if it takes the value 0 for all
Definition 5.
(see [18]). A subclass
Definition 6.
(see [18]). Let (X, S) be a fuzzy supra topological space and let A be a fuzzy set in X. Then, the fuzzy supra interior and the fuzzy supra closure of A in (X, S) are defined as
Corollary 1.
From Definition 6,
Definition 7.
(see [22]). Let (X, S) be a fuzzy supra topological space. A fuzzy set A in X is said to be quasi-coincident with a fuzzy set B if there exists
Definition 8.
(see [22]). A fuzzy set A in a fuzzy supra topological space (X, S) is an s-neighbourhood of a fuzzy point
Definition 9.
(see [18]). Let
Definition 10.
(see [18]). Let (X, S) be a fuzzy supra topological space and
Definition 11.
(see [18]). A mapping
(1)
(2)
(3)
(4)
Theorem 1.
(see [18]). Let X be a nonempty set, and let the mapping
Definition 12.
(see [23]). A nonempty collection of fuzzy sets I of a set X is called a fuzzy ideal on X if and only if
(1)
(2)
3. Fuzzy S-Local Function
Definition 13.
A fuzzy supra topological space (X, S) with a fuzzy ideal I on X is called a fuzzy ideal supra topological space and denoted as (X, S, I).
Definition 14.
Let (X, S, I) be a fuzzy ideal supra topology and let A be any fuzzy set in X. Then, the fuzzy s-local function
In other words, we say that a fuzzy set A is fuzzy s-local in I at
Example 1.
The simplest fuzzy ideals on X are
Theorem 2.
Let (X, S, I) be a fuzzy ideal supra topological space, and let A and B be fuzzy sets in X. Then,
(1)
(2) If
(3) If
(4)
(5)
(6)
(7)
(8)
(9) If
(10) If
(11) If
(12) If
Proof.
(1) This is obvious from the definition of fuzzy s-local function
(2) Let
(3) Let
(4) For any fuzzy ideal on X,
(5) From (4),
(6) Let
(7) We have
(8) We have
(9) We have
(10) We have
(11) This is obvious from the definition of fuzzy s-local function
(12) This is obvious from (9)
Theorem 3.
Let (X, S, I) be a fuzzy ideal supra topological space, and let A be any fuzzy set in X. Then,
Proof.
Let
Theorem 4.
Let (X, S, I) be a fuzzy ideal supra topological space. Then, the operator
Proof.
(1) By (1) in Theorem 2,
(2) Clear that
(3) Let A and B be any two fuzzy sets. Then,
(4) Let A be any fuzzy set. Since, by (2),
Proposition 1.
For any fuzzy ideal on X, if
Theorem 5.
For any fuzzy ideal supra topological space (X, S, I), the class
Proof.
Since
Example 2.
Let T be the fuzzy indiscrete supra topology on X, i.e.,
Theorem 6.
Proof.
Follows from the fact that
Theorem 7.
Let
(1)
(2)
Proof.
(1) Since every
(2) Clearly,
Theorem 8.
Let (X, S, I) be a fuzzy supra topological space. Then,
(1) If
(2)
Proof.
(1) For every
(2) From (5) in Theorem 2, we have
4. S-Compatible of Fuzzy Ideals with Fuzzy Supra Topology
Definition 15.
Let (X, S, I) be a fuzzy supra topological space. S is said to be fuzzy S-compatible with I, denoted by
Definition 16.
(see [20]). Let
Definition 17.
Let
Theorem 9.
Let (X, S, I) be a fuzzy ideal supra topological space. Then, the following conditions are equivalent:
(1)
(2) If for every fuzzy set A in X has a fuzzy quasi-supra open cover
(3) For every fuzzy set A in X,
(4) For every fuzzy set A in X,
Proof.
(1)
(2)
(2)
(3)
(3)
(4)
Theorem 10.
Let (X, S, I) be a fuzzy ideal supra topological space. Then, the following are equivalent and implied by
(1) For every fuzzy set A in X,
(2) For every fuzzy set A in X,
(3) For every fuzzy set A in X,
Proof.
Clear from Theorem 9.
Theorem 11.
Let (X, S, I) be a fuzzy ideal supra topological space, let
Proof.
Let A be a fuzzy set in X such that it is fuzzy
Corollary 2.
The fuzzy supra topology S is S-compatible with fuzzy ideal I on X implies
Proof.
Clear.
5. Fuzzy Set Operator
In this section, we introduce the fuzzy set operator
Definition 18.
Let (X, S, I) be a fuzzy ideal supra topological space. An operator
Theorem 12.
Let (X, S, I) be a fuzzy ideal supra topological space. Let A and B be two fuzzy sets in X. Then,
(1)
(2)
(3) If
(4)
(5)
(6) If
(7)
(8)
(9) If
(10) If
(11) If
(12) If
Proof.
(1) Since
(2) From definition of the
(3) Let
(4) We have
(5) We have
(6) Let
(7) From (2),
(8) Let
(9) Let
(10) By (9) in Theorem 2, we obtain if
(11) This follows from (9) in Theorem 2, and
(12) This follows from (9) in Theorem 2, and
Theorem 13.
Let (X, S, I) be a fuzzy ideal supra topological space. If
Proof.
Let
Definition 19.
A fuzzy ideal I in a space (X, S, I) is called S-codense fuzzy ideal if
Theorem 14.
Let (X, S, I) be a fuzzy ideal supra topological space, and let I be S-codense with S. Then,
Proof.
It is obvious that
Definition 20.
Let (X, S, I) be a fuzzy ideal supra topological space. A fuzzy set A in X is called the
Theorem 15.
Let (X, S, I) be a fuzzy ideal supra topological space. If
Proof.
From (6) in Theorem 12, it follows that
Theorem 16.
Let
Proof.
For each
6. Some Sets of a Fuzzy Ideal Supra Topological Space
Definition 21.
Let (X, S, I) be a fuzzy ideal supra topological space and let A be any fuzzy set in X. Then, A is said to be
(1) Fuzzy
(2) Fuzzy
(3) Fuzzy
(4) Fuzzy regular-I-supra closedset if
Theorem 17.
Let (X, S, I) be a fuzzy ideal supra topological space, and let A be any fuzzy set in X. Then, the following statements hold:
(1) Every fuzzy regular-I-supra closedset is a fuzzy
(2) Every fuzzy
(3) Every fuzzy
Proof.
(1) Let A be a fuzzy regular-I-supra closedset. Then, we have
(2) Let A be a fuzzy
(3) Let A be a fuzzy
Remark 1.
The converses of Theorem 17 need not be true as the following examples show.
Example 3.
Let
We put
Example 4.
Let
We put
Example 5.
In Example 3, A is a fuzzy
Definition 22.
Let (X, S, I) be a fuzzy ideal supra topological space, and let A be any fuzzy set in X. Then, A is said to be
(1) Fuzzy-I-supra openset if
(2) Fuzzy semi-I-supra openset if
(3) Fuzzy pre-I-supra openset if
(4) Fuzzy
(5) Fuzzy
A fuzzy set A of a fuzzy ideal supra topological space (X, S, I) is said to be fuzzy-I-closedset (resp. fuzzy semi-I-supra closedset, fuzzy pre-I-supra closedset, fuzzy
Theorem 18.
Let (X, S, I) be a fuzzy ideal supra topological space. Then, the following statements hold:
(1) Every fuzzy supra openset is a fuzzy
(2) Every fuzzy-I-supra openset is a fuzzy pre-I-supra openset
(3) Every fuzzy
(4) Every fuzzy
(5) Every fuzzy semi-I-supra openset is a fuzzy
(6) Every fuzzy pre-I-supra openset is a fuzzy
Proof.
(1) Let A be a fuzzy supra openset. Then, we have
(2) Let A be a fuzzy-I-supra openset. Then, we have
(3) Let A be a fuzzy
(4) Let A be a fuzzy
(5) Let A be a fuzzy semi-I-supra openset. Then, we have
(6) Let A be a fuzzy pre-I-supra openset. Then, we have
Remark 2.
The converses of Theorem 18 need not be true as the following examples show.
Example 6.
In Example 4, B is a fuzzy
Example 7.
In Example 4, A is a fuzzy pre-I-supra openset, but not a fuzzy-I-supra openset.
Example 8.
Let
We put
Example 9.
In Example 8, if we put
Example 10.
In Example 3, B is a fuzzy
Example 11.
Let
We put
Theorem 19.
Let (X, S, I) be a fuzzy ideal supra topological space, and let A be any fuzzy set in X. If A is a fuzzy regular-I-supra closedset, then A is a fuzzy semi-I-supra openset.
Proof.
Let A be a fuzzy regular-I-supra closedset. Then, we have
Remark 3.
The converses of Theorem 19 need not be true as the following example shows.
Example 12.
In Example 11, A is a fuzzy semi-I-supra openset, but not a fuzzy regular-I-supra closedset.
7. Some Fuzzy Ideal Supra Continuous Functions
Definition 23.
A function
Theorem 20.
For a function
(1) Every fuzzy regular-I-supra closed continuous is fuzzy
(2) Every fuzzy
Proof.
This follows from Theorem 17 and Definition 23.
Remark 4.
The converses of Theorem 20 need not be true as shown in the following examples.
Example 13.
Let
Let
Example 14.
Let
Let
Definition 24.
A function
Theorem 21.
For a function
(1) Every fuzzy supra continuous is fuzzy
(2) Every fuzzy-I-supra continuous is fuzzy pre-I-supra continuous
(3) Every fuzzy
(4) Every fuzzy
(5) Every fuzzy semi-I-supra continuous is fuzzy
(6) Every fuzzy pre-I-supra continuous is fuzzy
Proof.
This follows from Theorem 18 and Definition 24.
Remark 5.
The converses of Theorem 21 need not be true as shown in the following examples.
Example 15.
In Example 14, f is fuzzy
Example 16.
In Example 14, if we take
Example 17.
Let
Let
Example 18.
In Example 13, f is fuzzy
Example 19.
In Example 17, if we take
Theorem 22.
Let (X, S, I) be a fuzzy ideal supra topological space and let A be any fuzzy set in X. If A is fuzzy regular-I-supra closedset, then A is a fuzzy semi-I-supra openset.
Proof.
This follows from Theorem 19 and Definitions 23 and 24.
Remark 6.
The converses of Theorem 22 need not be true as the following example shows.
Example 20.
In Example 17, A is fuzzy semi-I-supra continuous but not fuzzy regular-I-supra closed continuous.
8. Conclusion
The present paper is focused on the notion of fuzzy ideals in fuzzy supra topological spaces. The concept of a fuzzy s-local function is also introduced here by utilizing the s-neighbourhood structure for a fuzzy supra topological space. These concepts are discussed with a view to find new fuzzy supra topologies from the original one. The basic structure, especially a basis for such generated fuzzy supra topologies, and several relations between different fuzzy ideals and fuzzy supra topologies are also studied here.
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Abstract
In this paper, we introduce the notion of fuzzy ideals in fuzzy supra topological spaces. The concept of a fuzzy s-local function is also introduced here by utilizing the s-neighbourhood structure for a fuzzy supra topological space. These concepts are discussed with a view to find new fuzzy supra topologies from the original one. The basic structure, especially a basis for such generated fuzzy supra topologies, and several relations between different fuzzy ideals and fuzzy supra topologies are also studied here. Moreover, we introduce a fuzzy set operator
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer