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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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Journal ArticleDOI

Intuitionistic fuzzy soft graphs with applications

TL;DR: Different types of new concepts, including intuitionistic fuzzy soft graphs, complete intuitionism fuzzy soft graph, strong intuitionistic soft soft graph and self complement of intuitionistic fuzziness soft graph are presented.
Journal ArticleDOI

A rough set-based interval-valued intuitionistic fuzzy conceptual design decision approach with considering diverse customer preference distribution

TL;DR: A conceptual scheme decision model with considering diverse customer preference distribution based on interval-valued intuitionistic fuzzy set (IVIFS) is proposed, and the optimal scheme is decided.
Journal ArticleDOI

Generalized Interval Neutrosophic Soft Set and its Decision Making Problem

TL;DR: In this paper, the authors introduced the concept of generalized interval neutrosophic soft set and studied their operations. And then they presented an application of GIS in decision making problem.
Journal ArticleDOI

Comparative State-of-the-Art Survey of Classical Fuzzy Set and Intuitionistic Fuzzy Sets in Multi-Criteria Decision Making

TL;DR: A literature survey is conducted to compare the trend of publications of ‘classical fuzzy’ set theory and its generalized form, the intuitionistic fuzzy set (IFS) as used in MCDM methods from 2000 to 2015 and presents trends and directions.
Journal Article

Similarity measures of intuitionistic fuzzy soft sets and their application in medical diagnosis

TL;DR: In this paper, three types of similarity measures of two intuitionistic fuzzy soft sets are introduced by matching function, distance measure and set theoretic approach and a decision method is constructed which is applied to medical diagnosis problem that is based on similarity measure of intuitionistic soft soft sets.
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