Distance based entropy measure of interval-valued intuitionistic fuzzy sets and its application in multicriteria decision making
type: Item
instance of: scholarly article
title: Distance based entropy measure of interval-valued intuitionistic fuzzy sets and its application in multicriteria decision making
zbMATH Open document ID: 1409.94839
DOI: 10.1155/2018/3637897
author: Tabasam Rashid
author: Shahzad Faizi
author: Sohail Zafar
published in: Advances in Fuzzy Systems
publication date: 2019-03-14T00:00:00Z
review text: Summary: Fuzzy entropy means the measurement of fuzziness in a fuzzy set and therefore plays a vital role in solving the fuzzy multicriteria decision making (MCDM) and multicriteria group decision making (MCGDM) problems. In this study, the notion of the measure of distance based entropy for uncertain information in the context of interval-valued intuitionistic fuzzy set (IVIFS) is introduced. The arithmetic and geometric average operators are firstly used to aggregate the interval-valued intuitionistic fuzzy information provided by the decision makers (DMs) or experts corresponding to each alternative, and then the fuzzy entropy of each alternative is calculated based on proposed distance measure. Several numerical examples are solved to demonstrate the application to MCDM and MCGDM problems to show the effectiveness of the proposed approach.
Mathematics Subject Classification ID: 94A17
Mathematics Subject Classification ID: 94D05
Mathematics Subject Classification ID: 91B06
zbMATH DE Number: 7036009
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2018/3637897
OpenAlex ID: W2883052649
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Wikidata QID: Q129489888
description: scientific article; zbMATH DE number 7036009