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Generalized intuitionistic fuzzy soft sets with applications in decision-making

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TLDR
The effectiveness of the proposed GIFSS in decision making is demonstrated on four case studies and the properties of GIFSS are investigated and the associated relations called generalized intuitionistic fuzzy soft relations (GIFSR).
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This article is published in Applied Soft Computing.The article was published on 2013-08-01. It has received 136 citations till now. The article focuses on the topics: Fuzzy number & Fuzzy set operations.

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Citations
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Another View on Generalized Intuitionistic Fuzzy Soft Sets and Related Multiattribute Decision Making Methods

TL;DR: An algorithm is designed for coping with multiattribute decision making (MADM) problems with a combined use of the GIFSS, the extended intersection operation, the intuitionistic fuzzy weighted averaging operator, and other related notions.
Journal ArticleDOI

Intuitionistic fuzzy parameterized soft set theory and its decision making

TL;DR: This work first defines intuitionistic fuzzy parameterized soft sets (intuitionistic FP-soft sets) and study some of their properties, and introduces an adjustable approaches to intuitionistic FP -soft sets based decision making.
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Generalized and group-based generalized intuitionistic fuzzy soft sets with applications in decision-making

TL;DR: An attempt has been made to describe the concept of generalized IFSS (GIFSS), as well as the group-based generalized intuitionistic fuzzy soft set (GGIFSS) in which the evaluation of the object is done by the group of experts rather than a single expert.
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A robust correlation coefficient measure of dual hesitant fuzzy soft sets and their application in decision making

TL;DR: This work develops correlation coefficient and weighted correlation coefficients under the DHFSS environment in which pairs of membership, non-membership are to be considered as vector representation during the formulation and to investigate their properties.
References
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Journal ArticleDOI

Intuitionistic fuzzy sets

TL;DR: Various properties are proved, which are connected to the operations and relations over sets, and with modal and topological operators, defined over the set of IFS's.
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The concept of a linguistic variable and its application to approximate reasoning—II☆

TL;DR: Much of what constitutes the core of scientific knowledge may be regarded as a reservoir of concepts and techniques which can be drawn upon to construct mathematical models of various types of systems and thereby yield quantitative information concerning their behavior.
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Soft set theory—First results

TL;DR: 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.
Book

Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions

TL;DR: This chapter discusses Type-2 Fuzzy Sets, a New Direction for FLSs, and Relations and Compositions on different Product Spaces on Different Product Spaces, as well as operations on and Properties of Type-1 Non-Singleton Type- 2 FuzzY Sets.
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Intuitionistic Fuzzy Aggregation Operators

TL;DR: Based on score function and accuracy function, a method is introduced for the comparison between two intuitionistic fuzzy values and some aggregation operators are developed, such as the intuitionism fuzzy weighted averaging operator, intuitionists fuzzy ordered weighted averaging operators, and intuitionistic fuzziness hybrid aggregation operator, for aggregating intuitionist fuzzy values.