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Combination of the Single-Valued Neutrosophic Fuzzy Set and the Soft Set with Applications in Decision-Making [PDF]

open access: yesSymmetry, 2020
In this article, we propose a novel concept of the single-valued neutrosophic fuzzy soft set by combining the single-valued neutrosophic fuzzy set and the soft set. For possible applications, five kinds of operations (e.g., subset, equal, union, intersection, and complement) on single-valued neutrosophic fuzzy soft sets are presented.
Ahmed Mostafa Khalil   +2 more
exaly   +4 more sources
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A hybrid model of single valued neutrosophic sets and rough sets: single valued neutrosophic rough set model

Soft Computing, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hai-Long Yang   +2 more
exaly   +2 more sources

A Novel Single-Valued Neutrosophic Set Similarity Measure and Its Application in Multicriteria Decision-Making

open access: yesSymmetry, 2017
The single-valued neutrosophic set is a subclass of neutrosophic set, and has been proposed in recent years. An important application for single-valued neutrosophic sets is to solve multicriteria decision-making problems.
Wen Jiang
exaly   +2 more sources

Subsethood measure for single valued neutrosophic sets

Journal of Intelligent & Fuzzy Systems, 2015
Abstract The main aim of this paper is to introduce a neurosophic subsethood measure for single valued neutrosophic sets. For this purpose, we first introduce a system of axioms for subsethood measure of single valued neutrosophic sets. Then we give a simple subsethood measure based to distance measure.
Sahin, Ridvan, KÜÇÜK, Ahmet
openaire   +3 more sources

Further research of single valued neutrosophic rough sets

Journal of Intelligent & Fuzzy Systems, 2017
Smarandache (1998) initiated neutrosophic sets (NSs) as a new mathematical tool for dealing with problems involving incomplete, indeterminant and inconsistent knowledge. By simplifying NSs, Smarandache (1998) and Wang et al. (2010) proposed the concept of single valued neutrosophic sets (SVNSs) and studied some properties of SVNSs.
Yan-Ling Liu, Hai-Long Yang 0003
openaire   +1 more source

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