Imprecise Shannon's entropy and multi attribute decision making
type: Item
instance of: scholarly article
title: Imprecise Shannon's entropy and multi attribute decision making
zbMATH Open document ID: 1179.68165
author: Farhad Hosseinzadeh Lotfi
author: R. Fallahnejad
published in: Entropy
publication date: 2010-01-29T00:00:00Z
review text: Summary: Finding the appropriate weight for each criterion is one of the main points in Multi Attribute Decision Making (MADM) problems. Shannon's entropy method is one of the various methods for finding weights discussed in the literature. However, in many real life problems, the data for the decision making processes cannot be measured precisely and there may be some other types of data, for instance, interval data and fuzzy data. The goal of this paper is the extension of the Shannon entropy method for the imprecise data, especially interval and fuzzy data cases.
Mathematics Subject Classification ID: 68T37
Mathematics Subject Classification ID: 94A17
Mathematics Subject Classification ID: 90B50
Mathematics Subject Classification ID: 90C70
zbMATH DE Number: 5664188
zbMATH Keywords: multi attribute decision making
zbMATH Keywords: entropy
zbMATH Keywords: imprecise data
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.3390/e12010053
OpenAlex ID: W2113800507
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DOI: 10.3390/E12010053
description: scientific article; zbMATH DE number 5664188