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A Variance-Based Consensus Degree in Group Decision Making Problems

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Title:A Variance-Based Consensus Degree in Group Decision Making Problems
Authors:del Moral Avila, Maria Jose
Chiclana, Francisco
Tapia Garcia, Juan Miguel
Herrera-Viedma, Enrique
Keywords:Intelligent Decision Systems Based on Soft Computing
Decision Analytics, Mobile Services, and Service Science
Comparative study, consensus, group decision making problems, fuzzy preference relations, variance
Date Issued:08 Jan 2019
Abstract:The variance is a well-known statistical measure and is frequently used for the calculation of variability. This concept can be used to obtain the degree of agreement in groups that have to make decisions. In this study, we propose the use of a variance derivative as an alternative for the calculation of the degree of consensus for Group Decision Making problems with fuzzy preference relations. As revealed by a subsequent comparative study, the values obtained by this new method are comparable to the values obtained by means of frequently used methods that employ distance functions and aggregation operators, while it turns out to be a simpler application method.
Pages/Duration:7 pages
URI/DOI:http://hdl.handle.net/10125/59609
ISBN:978-0-9981331-2-6
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Intelligent Decision Systems Based on Soft Computing


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