A Variance-Based Consensus Degree in Group Decision Making Problems

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dc.contributor.authordel Moral Avila, Maria Jose
dc.contributor.authorChiclana, Francisco
dc.contributor.authorTapia Garcia, Juan Miguel
dc.contributor.authorHerrera-Viedma, Enrique
dc.date.accessioned2019-01-02T23:55:43Z
dc.date.available2019-01-02T23:55:43Z
dc.date.issued2019-01-08
dc.description.abstractThe 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.
dc.format.extent7 pages
dc.identifier.doi10.24251/HICSS.2019.205
dc.identifier.isbn978-0-9981331-2-6
dc.identifier.urihttp://hdl.handle.net/10125/59609
dc.language.isoeng
dc.relation.ispartofProceedings of the 52nd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectIntelligent Decision Systems Based on Soft Computing
dc.subjectDecision Analytics, Mobile Services, and Service Science
dc.subjectComparative study, consensus, group decision making problems, fuzzy preference relations, variance
dc.titleA Variance-Based Consensus Degree in Group Decision Making Problems
dc.typeConference Paper
dc.type.dcmiText

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