Entropy measures for interval-valued intuitionistic fuzzy sets and their application in group decision-making
type: Item
instance of: scholarly article
title: Entropy measures for interval-valued intuitionistic fuzzy sets and their application in group decision-making
zbMATH Open document ID: 1393.03043
DOI: 10.1155/2015/563745
published in: Mathematical Problems in Engineering
publication date: 2018-08-27T00:00:00Z
review text: Summary: Entropy measure is an important topic in the fuzzy set theory and has been investigated by many researchers from different points of view. In this paper, two new entropy measures based on the cosine function are proposed for intuitionistic fuzzy sets and interval-valued intuitionistic fuzzy sets. According to the features of the cosine function, the general forms of these two kinds of entropy measures are presented. Compared with the existing ones, the proposed entropy measures can overcome some shortcomings and be used to measure both fuzziness and intuitionism of these two fuzzy sets; as a result, the uncertain information of which can be described more sufficiently. These entropy measures have been applied to assess the experts' weights and to solve multicriteria fuzzy group decision-making problems.
Mathematics Subject Classification ID: 03E72
Mathematics Subject Classification ID: 91B06
zbMATH DE Number: 6926654
Wikidata QID: Q59119340
author: Cui-Ping Wei
author: Yuzhong Zhang
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/563745
OpenAlex ID: W2085419029
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description: scientific article; zbMATH DE number 6926654