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Open AccessJournal ArticleDOI

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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A New Multi-Attribute Decision-Making Method Based on m-Polar Fuzzy Soft Rough Sets

TL;DR: This work introduces notions of soft rough m-polar fuzzy sets and m- polar fuzzy soft rough sets as novel hybrid models for soft computing, and investigates some of their fundamental properties.
Journal ArticleDOI

Soft separation axioms in soft topological spaces

TL;DR: In this paper, the authors defined and explored several properties of soft Ti, i = 0; 1; 2, soft regular, softT3, soft normal and softT4 axioms using soft points defined by I. Zorlutuna.
Journal ArticleDOI

Distance and Similarity Measures for Soft Sets

TL;DR: In this paper, the authors used matrix representation based distance of soft sets to introduce matching function and distance based similarity measures, which have been applied to the problem of financial diagnosis of firms.
Journal ArticleDOI

Introduction to neutrosophic soft topological space

TL;DR: In this paper, the concept of separation axioms on neutrosophic soft topological space has been introduced along with investigation of several structural characteristics, and some related properties have been developed, too.
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