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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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Book ChapterDOI

Generalization of Soft Set Theory: From Crisp to Fuzzy Case

TL;DR: The traditional soft set theory is expanded to be a fuzzy one, the fuzzy membership is used to describe parameter-approximate elements of fuzzy soft set and the DeMorgan’s laws are proved.
Journal ArticleDOI

q‐Rung orthopair fuzzy soft average aggregation operators and their application in multicriteria decision‐making

TL;DR: This manuscript investigates the notion of q‐rung orthopair fuzzy soft set (q‐ROFSfS), which provide a lay of foundation for those difficulties and complexities which the contemporary theories face during the study of uncertainty.
Journal ArticleDOI

An approach to fuzzy soft sets in decision making based on grey relational analysis and Dempster-Shafer theory of evidence

TL;DR: An approach to fuzzy soft sets in decision making by combining grey relational analysis with Dempster-Shafer theory of evidence is introduced and a practical application to medical diagnosis problems is given.
Journal ArticleDOI

Generalized intuitionistic fuzzy soft power aggregation operator based on t-norm and their application in multicriteria decision-making

TL;DR: This paper utilized some new power aggregation operators for intuitionistic fuzzy (IF) soft numbers to develop an approach to solve the decision‐making problem under IF soft set environment and demonstrated with an illustrative example.
Journal ArticleDOI

Dual Hesitant Fuzzy Soft Aggregation Operators and Their Application in Decision-Making

TL;DR: From the study, it is concluded that the proposed approach provides a more practical nature to the decision-maker during the aggregation process and hence demonstrate that they place an alternative way for solvingThe decision-making problems.
References
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