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Journal ArticleDOI

Bipolar fuzzy soft expert set and its application in decision making

TLDR
This paper defines its basic theoretic operation, namely complement, union, intersection, AND and OR on bipolar fuzzy soft expert sets along with illustrative examples, and constructs an algorithm based on this concept.
Abstract
In this paper, we extend the two concepts of bipolar fuzzy sets and soft expert sets to bipolar fuzzy soft expert sets. We will define its basic theoretic operation, namely complement, union, intersection, AND and OR on bipolar fuzzy soft expert sets along with illustrative examples, and study some related properties with supporting proofs. The basic properties and relevant laws pertaining to this concept are proven. We then construct an algorithm based on this concept. Finally, we apply it to a decision-making problem to demonstrate the applicability of the proposed method. It is shown that this concept is effective in solving decision-making problems using an illustrative example.

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Citations
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Journal ArticleDOI

Evaluation of Investment Policy Based on Multi-Attribute Decision-Making Using Interval Valued T-Spherical Fuzzy Aggregation Operators

TL;DR: The goal of this article is to enhance the T-spherical fuzzy set (TSFS) by introducing the interval-valued IVTSFS, which describes the uncertainty measure in terms of the membership, abstinence, non-membership, and the refusal degree.
Journal ArticleDOI

Bipolar N-soft set theory with applications

TL;DR: In this article, the notion of bipolar N-soft set is introduced, which is the bipolar extension of Nsoft set, and its fundamental properties are illustrated with real-life examples.
Journal ArticleDOI

Decision-Making Method Based on Fuzzy N-Soft Expert Sets

TL;DR: This paper develops two novel hybrid models, namely N-Soft expert set model and fuzzy N-soft expert set models, which are the combination of N- soft sets with soft expert sets and studies the fuzziness of N.soft expert sets.
Journal ArticleDOI

Q-Neutrosophic Soft Relation and Its Application in Decision Making

TL;DR: In this article, a generalization of fuzzy soft relations, called neutrosophic soft relations (Q-neutrosophics), is proposed, which can be applied to two-dimensional imprecise, indeterminate and inconsistent data which appear in most real life problems.
Journal ArticleDOI

Multi-attribute decision-making based on soft set theory: a systematic review

TL;DR: A review of methodologies and applications of 71 research papers published in 30 academic journals between January 2000 and December 2017 shows that “SSAW” method which has been employed by various authors is the most common technique and the number of research publications by academics was highest in 2017.