Soft set theory—First results
TLDR
The main purpose of this paper is to introduce the basic notions of the theory of soft sets, to present the first results of the the theory, and to discuss some problems of the future.Abstract:
The soft set theory offers a general mathematical tool for dealing with uncertain, fuzzy, not clearly defined objects. The main purpose of this paper is to introduce the basic notions of the theory of soft sets, to present the first results of the theory, and to discuss some problems of the future.read more
Citations
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Journal ArticleDOI
Distance and distance induced intuitionistic entropy of generalized intuitionistic fuzzy soft sets
TL;DR: The axiomatic definitions of the distance measure is introduced and subsequently used to define the similarity measure and intuitionistic entropy induced by this distance measure and some of the algebraic properties of these measures are verified.
Journal ArticleDOI
Generalized vague soft expert set
TL;DR: The basic operations of generalized vague soft expert set theory "AND" and "OR" operations are defined along with illustrative examples.
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On some generated soft topological spaces and soft homogeneity.
Samer Al Ghour,Awatef Bin-Saadon +1 more
TL;DR: It is introduced soft homogeneity as an extension of homogeneity in ordinary topological spaces and soft minimal open set and homogeneity relation between the generated soft topology and the given indexed family of topologies.
Theory of Fuzzy Soft Sets from a New Perspective
TL;DR: The notion of union and intersection offuzzy sets proposed by Baruah is improved and the concept of complement of a fuzzy set when the fuzzyreference function is not zero is generalized.
Journal ArticleDOI
Linguistic value soft set-based approach to multiple criteria group decision-making
TL;DR: A new generalization of Molodtsov's soft set concept, named linguistic value soft set, is considered by introducing a linguistic variable to the definition of soft set theory, establishing a new approach to multiple criteria group decision-making problems with linguistic value information.
References
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