Operation Submaximal (Extremally Disconnected) Spaces

Introduction Soft set theory [11] was firstly introduced by Molodtsov in 1999 as a general mathematical tool for dealing with uncertain, fuzzy, not clearly defined objects. [12] presented some new definitions on soft sets such as a subset, the complement of a soft set and discussed in detail the app...

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Bibliographic Details
Published in:	Annals of the Romanian society for cell biology Vol. 25; no. 4; pp. 1405 - 1416
Main Author:	Sudha, P
Format:	Journal Article
Language:	English
Published:	Arad "Vasile Goldis" Western University Arad, Romania 01.01.2021
Subjects:	Decision making Set theory Universe
ISSN:	2067-3019, 2067-8282
Online Access:	Get full text
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Summary:	Introduction Soft set theory [11] was firstly introduced by Molodtsov in 1999 as a general mathematical tool for dealing with uncertain, fuzzy, not clearly defined objects. [12] presented some new definitions on soft sets such as a subset, the complement of a soft set and discussed in detail the application of soft set theory in decision making problems [13]. Preliminaries Let U be an initial universe set and EU be a collection of all possible parameters with respect to U, where parameters are the characteristics or properties of objects in U. We will call Eu the universe set of parameters with respect to U. Definition 2.1. Henceforth, let X be an initial universe set and E be the fixed nonempty set of parameter with respect to X unless otherwise specified.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ISSN:	2067-3019 2067-8282