International Journal of Fuzzy Logic and Intelligent Systems 2020; 20(2): 119-123
Published online June 25, 2020
https://doi.org/10.5391/IJFIS.2020.20.2.119
© The Korean Institute of Intelligent Systems
Department of Mathematics, Kangwon National University, Chuncheon, Korea
Correspondence to :
Won Keun Min (wkmin@kangwon.ac.kr)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
In this work, we introduce the notion of soft
Keywords: Soft set, Soft topology, Soft ω-structure, Soft ω-T0 (ω-T1, ω-T2).
In 1999, Molodtsov [1] initiated the notion of soft set theory as a new mathematical tool which is free from the complex problems. Later on Maji et al. [2] proposed several operations on soft sets and some basic properties and then Pei and Miao [3] investigated the relationships between soft sets and information systems.
In 2011, Shabir and Naz [4] introduced the notion of soft topological spaces and the author [5] corrected some their results. Zorlutuna et al. [6] continued to study the properties of soft topological spaces by defining the concepts of interior and soft neighborhoods in soft topological spaces. In 2011, Cagman et al. [7] defined soft topological spaces by modifying the soft set. Also, Roy and Samanta [8] strengthen the definition of the soft topological spaces presented in [7].
In 2017, with the aim of generalizing the notion of soft topology, Zakari et al. [9] introduced a soft weak structure. Recently, Al-Saadi and Min [10] investigated the notion of soft generalized closed sets in a soft weak structure.
Meanwhile, Min and Kim [11] introduced a new notion called weak structures as the following: Let
In this work, by applying the notion of weak structure in [11], we want to introduce the new notion of soft
For
A soft set (
A null soft set denoted by ̃ if
An absolute soft set denoted by
For any two soft sets (
(
(
(
for all
(
For a soft set (
Let
̃,
The union of any number of soft sets in
The intersection of any two soft sets in
The triple (
Let
̃,
The intersection of any two soft sets in
The triple (
Let
Let
Then
Let
Let
It is obvious.
As in Example 2.3, consider the soft
Then (
Let
Let
Let
Then
Since (
Let
If (
If (
From the definitions of soft
But the converses in Theorem 2.9 are not always true as shown the next example.
Let
Then
Let
If (
(1) and (2) are obvious.
(3) It is obvious that
(4) From (1), it follows
Let
(
If (
It is similar to the proof of Theorem 2.11.
Now, we introduce the separation axioms in soft
Let
We have the following diagram:
Let
Then
Let
Then
Let
Let
Let
Let
Let
Let
Let
The author introduced the notion of soft
No potential conflict of interest relevant to this article was reported.
E-mail: wkmin@kangwon.ac.kr
International Journal of Fuzzy Logic and Intelligent Systems 2020; 20(2): 119-123
Published online June 25, 2020 https://doi.org/10.5391/IJFIS.2020.20.2.119
Copyright © The Korean Institute of Intelligent Systems.
Department of Mathematics, Kangwon National University, Chuncheon, Korea
Correspondence to:Won Keun Min (wkmin@kangwon.ac.kr)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
In this work, we introduce the notion of soft
Keywords: Soft set, Soft topology, Soft ω-structure, Soft ω-T0 (ω-T1, ω-T2).
In 1999, Molodtsov [1] initiated the notion of soft set theory as a new mathematical tool which is free from the complex problems. Later on Maji et al. [2] proposed several operations on soft sets and some basic properties and then Pei and Miao [3] investigated the relationships between soft sets and information systems.
In 2011, Shabir and Naz [4] introduced the notion of soft topological spaces and the author [5] corrected some their results. Zorlutuna et al. [6] continued to study the properties of soft topological spaces by defining the concepts of interior and soft neighborhoods in soft topological spaces. In 2011, Cagman et al. [7] defined soft topological spaces by modifying the soft set. Also, Roy and Samanta [8] strengthen the definition of the soft topological spaces presented in [7].
In 2017, with the aim of generalizing the notion of soft topology, Zakari et al. [9] introduced a soft weak structure. Recently, Al-Saadi and Min [10] investigated the notion of soft generalized closed sets in a soft weak structure.
Meanwhile, Min and Kim [11] introduced a new notion called weak structures as the following: Let
In this work, by applying the notion of weak structure in [11], we want to introduce the new notion of soft
For
A soft set (
A null soft set denoted by ̃ if
An absolute soft set denoted by
For any two soft sets (
(
(
(
for all
(
For a soft set (
Let
̃,
The union of any number of soft sets in
The intersection of any two soft sets in
The triple (
Let
̃,
The intersection of any two soft sets in
The triple (
Let
Let
Then
Let
Let
It is obvious.
As in Example 2.3, consider the soft
Then (
Let
Let
Let
Then
Since (
Let
If (
If (
From the definitions of soft
But the converses in Theorem 2.9 are not always true as shown the next example.
Let
Then
Let
If (
(1) and (2) are obvious.
(3) It is obvious that
(4) From (1), it follows
Let
(
If (
It is similar to the proof of Theorem 2.11.
Now, we introduce the separation axioms in soft
Let
We have the following diagram:
Let
Then
Let
Then
Let
Let
Let
Let
Let
Let
Let
The author introduced the notion of soft
Hanan S. Al-Saadi, and Won Keun Min
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