International Journal of Fuzzy Logic and Intelligent Systems 2022; 22(1): 100-105
Published online March 25, 2022
https://doi.org/10.5391/IJFIS.2022.22.1.100
© The Korean Institute of Intelligent Systems
Veeraiyan Suganya1, Pitchayan Gomathi Sundari2, and Neelamegarajan Rajesh2
1Department of Mathematics, Vivekanandha College of Arts and Science for Women, Tamilnadu, India
2Department of Mathematics, Rajah Serfoji Government College (affliated to Bharathdasan University), Tamilnadu, India
Correspondence to :
Neelamegarajan Rajesh (nrajesh_topology@yahoo.co.in)
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 study, we introduce and investigate the concepts of double fuzzy upper and fuzzy lower α-irresolute multifunctions. Several characterizations and properties of these multifunctions are established in double fuzzy topological spaces.
Keywords: Double fuzzy topological space, (r, s)-fuzzy α-open set, Double fuzzy α-irresolute multifunctions
The fuzzy concept has penetrated nearly all branches of mathematics since the concept has been defined by Zadeh [1]. Fuzzy sets have applications in several fields, such as information [2] and control [3]. The theory of fuzzy topological spaces was first defined and developed by Chang [2], and since then various notions of general topology have been generalized to the fuzzy topological spaces defined by Chang. Šostak [4] and Kubiak [5] developed fuzzy topology as an extension of the fuzzy topology introduced by Chang [2]. It has since been developed in several ways. Šostak [6] published a survey article on the areas of development of fuzzy topological spaces. Topologists often refer to the concept of fuzzy topology developed by Chang as “”and the concept of fuzzy topology proposed by Kubiak-Šostak as “”, where
Throughout this paper, let
Let
Let
(1) normalized if and only if for each
(2) crisp if and only if
Let
(1) the lower inverse of
(2) the upper inverse of
Let
(1)
(2)
(3)
(4)
(5)
(6)
Let
Let
(1)
(2) (
(3) (
Let
(1)
(2)
(3)
A fuzzy point
A double fuzzy topology on
(1)
(2)
(3)
The triplet (
A fuzzy set
Let (
Let (
(1)
(2)
(3)
(4)
Let
(1) double fuzzy upper
(2) double fuzzy lower
(3) double fuzzy upper (lower)
Let
(1) double fuzzy upper
(2) double fuzzy lower
(3) double fuzzy upper (lower)
If
For a fuzzy multifunction
(1)
(2)
(3)
(4)
(5)
(1) ⇒ (2): Let
(2) ⇒ (3): Let
(3) ⇒ (4): Let
(4) ⇒ (5): Let
(5) ⇒ (3): Let
(3) ⇒ (2): Let
(2) ⇒ (1): Let
We state the following result without proof in view of the above theorem.
For a fuzzy multifunction
(1)
(2)
(3)
(4)
(5)
Let
(1)
(2)
For a fuzzy multifunction
(1) Every double fuzzy upper
(2) Every double fuzzy lower
The following example demonstrates that the converses of the above propositions are not true.
Let
Then,
Let
(1) If
(2) If
Follows from the respective definitions.
Let {
Let
A fuzzy multifunction
Let
Let
There is no potential conflict of interest relevant to this study.
E-mail: nrajesh topology@yahoo.co.in
E-mail: suganjo115sai@gmail.com
E-mail: gomathi.rsg@gmail.com
International Journal of Fuzzy Logic and Intelligent Systems 2022; 22(1): 100-105
Published online March 25, 2022 https://doi.org/10.5391/IJFIS.2022.22.1.100
Copyright © The Korean Institute of Intelligent Systems.
Veeraiyan Suganya1, Pitchayan Gomathi Sundari2, and Neelamegarajan Rajesh2
1Department of Mathematics, Vivekanandha College of Arts and Science for Women, Tamilnadu, India
2Department of Mathematics, Rajah Serfoji Government College (affliated to Bharathdasan University), Tamilnadu, India
Correspondence to:Neelamegarajan Rajesh (nrajesh_topology@yahoo.co.in)
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 study, we introduce and investigate the concepts of double fuzzy upper and fuzzy lower α-irresolute multifunctions. Several characterizations and properties of these multifunctions are established in double fuzzy topological spaces.
Keywords: Double fuzzy topological space, (r, s)-fuzzy &alpha,-open set, Double fuzzy &alpha,-irresolute multifunctions
The fuzzy concept has penetrated nearly all branches of mathematics since the concept has been defined by Zadeh [1]. Fuzzy sets have applications in several fields, such as information [2] and control [3]. The theory of fuzzy topological spaces was first defined and developed by Chang [2], and since then various notions of general topology have been generalized to the fuzzy topological spaces defined by Chang. Šostak [4] and Kubiak [5] developed fuzzy topology as an extension of the fuzzy topology introduced by Chang [2]. It has since been developed in several ways. Šostak [6] published a survey article on the areas of development of fuzzy topological spaces. Topologists often refer to the concept of fuzzy topology developed by Chang as “”and the concept of fuzzy topology proposed by Kubiak-Šostak as “”, where
Throughout this paper, let
Let
Let
(1) normalized if and only if for each
(2) crisp if and only if
Let
(1) the lower inverse of
(2) the upper inverse of
Let
(1)
(2)
(3)
(4)
(5)
(6)
Let
Let
(1)
(2) (
(3) (
Let
(1)
(2)
(3)
A fuzzy point
A double fuzzy topology on
(1)
(2)
(3)
The triplet (
A fuzzy set
Let (
Let (
(1)
(2)
(3)
(4)
Let
(1) double fuzzy upper
(2) double fuzzy lower
(3) double fuzzy upper (lower)
Let
(1) double fuzzy upper
(2) double fuzzy lower
(3) double fuzzy upper (lower)
If
For a fuzzy multifunction
(1)
(2)
(3)
(4)
(5)
(1) ⇒ (2): Let
(2) ⇒ (3): Let
(3) ⇒ (4): Let
(4) ⇒ (5): Let
(5) ⇒ (3): Let
(3) ⇒ (2): Let
(2) ⇒ (1): Let
We state the following result without proof in view of the above theorem.
For a fuzzy multifunction
(1)
(2)
(3)
(4)
(5)
Let
(1)
(2)
For a fuzzy multifunction
(1) Every double fuzzy upper
(2) Every double fuzzy lower
The following example demonstrates that the converses of the above propositions are not true.
Let
Then,
Let
(1) If
(2) If
Follows from the respective definitions.
Let {
Let
A fuzzy multifunction
Let
Let