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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Separation axioms on neutrosophic soft topological spaces
TL;DR: In the present paper, some basic notions of neutrosophic soft sets have been redefined and the neutrosophile soft point concept has been introduced.
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Integrating the 2-tuple linguistic representation and soft set to solve supplier selection problems with incomplete information
TL;DR: This paper integrates the 2-tuple linguistic representation and soft set to solve supplier selection problems with incomplete information and compares the results of this simulation with those of the arithmetic average, fuzzy VIKOR, and interval 2-Tuple linguisticVIKOR methods.
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An algorithm for generating permutation algebras using soft spaces
TL;DR: In this paper, the authors introduced an algorithm to find permutation algebras using soft topological space, which can be used to find rational and logical solutions to various real-life problems, which involve uncertainty, impreciseness and vagueness.
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An adjustable weighted soft discernibility matrix based on generalized picture fuzzy soft set and its applications in decision making
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Similarity in soft set theory
TL;DR: The concept of similarity between soft sets is introduced and the concept of conjunction parameter and disjunction parameter of ordered pair parameter are introduced for soft set theory.
References
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