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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.

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Journal ArticleDOI

On some correlation coefficients in Pythagorean fuzzy environment with applications

TL;DR: This communication introduces some novel correlation coefficients in the PF‐environment satisfying the condition that the correlation coefficient of two PFSs is one if and only if the two sets are equal.
Journal ArticleDOI

Soft set theory and topology

TL;DR: In this paper, the soft set theory is studied and discussed, giving new definitions, examples, new classes of soft sets, and properties for mappings between different classes of sets.
Journal ArticleDOI

Soft ws-algebras

TL;DR: In this article, the concept of soft sets was applied to the theory of subtraction algebras, and the notion of soft WS-algebra, soft subalgebra and soft deductive systems were derived.
Journal ArticleDOI

Unified Granular-number-based AHP-VIKOR multi-criteria decision framework

TL;DR: In this paper, a flexible multi-criteria decision-making (MCDM) framework integrating the Analytic Hierarchy Process and the VIKOR compromise-ranking method in a granular domain is presented.
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