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Journal ArticleDOI

Information measures for hesitant fuzzy sets and interval-valued hesitant fuzzy sets

Bahram Farhadinia
- 01 Aug 2013 - 
- Vol. 240, Iss: 240, pp 129-144
TLDR
The primary goal of the study is to suggest the systematic transformation of the entropy into the similarity measure for HFSs and vice versa, and two clustering algorithms are developed under a hesitant fuzzy environment.
About
This article is published in Information Sciences.The article was published on 2013-08-01. It has received 328 citations till now. The article focuses on the topics: Similarity measure & Fuzzy set.

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Citations
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Journal ArticleDOI

Hesitant Fuzzy Sets: State of the Art and Future Directions

TL;DR: An overview on hesitant fuzzy sets is presented with the aim of providing a clear perspective on the different concepts, tools and trends related to this extension of fuzzy sets.
Journal ArticleDOI

Interval-valued hesitant fuzzy linguistic sets and their applications in multi-criteria decision-making problems

TL;DR: This work focuses on multi-criteria decision-making (MCDM) problems in which the criteria are in different priority levels and the criteria values take the form of interval-valued hesitant fuzzy linguistic numbers (IVHFLNs).
Journal ArticleDOI

Interval-valued intuitionistic hesitant fuzzy Choquet integral based TOPSIS method for multi-criteria group decision making

TL;DR: The main purpose of this paper is to define the Choquet integral operator for interval-valued intuitionistic hesitant fuzzy sets (IVIHFS) and to extend the technique for order preference by similarity to ideal solution (TOPSIS) method using Choquet Integral operator in interval- valued intuitionists hesitant fuzzy environment.
Journal ArticleDOI

The TODIM analysis approach based on novel measured functions under hesitant fuzzy environment

TL;DR: The TODIM (an acronym in Portuguese of interactive and multi-criteria decision making) method is extended, which is based on prospect theory and can effectively capture the decision maker's psychological behavior, to solve this type of problems under hesitant fuzzy environment.
References
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Book

Fuzzy sets

TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Journal ArticleDOI

Hesitant fuzzy sets

TL;DR: It is proved that the envelope of the hesitant fuzzy sets is an intuitionistic fuzzy set, and it is proved also that the operations proposed are consistent with the ones of intuitionist fuzzy sets when applied to the envelope.
Journal ArticleDOI

A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory

TL;DR: A functional defined on the class of generalized characteristic functions (fuzzy sets), called “entropy≓, is introduced using no probabilistic concepts in order to obtain a global measure of the indefiniteness connected with the situations described by fuzzy sets.
Journal ArticleDOI

Hesitant Fuzzy Linguistic Term Sets for Decision Making

TL;DR: The concept of a hesitant fuzzy linguistic term set is introduced to provide a linguistic and computational basis to increase the richness of linguistic elicitation based on the fuzzy linguistic approach and the use of context-free grammars by using comparative terms.
Book

Intuitionistic Fuzzy Sets: Theory and Applications

TL;DR: The basic definitions and properties of the Intuitionistic Fuzzy Sets (IFSs) are introduced in the book and readers will find discussions on some of the IFS extensions (for example, interval-values IFSs, temporal I FSs and others) and applications.