Entropy Based Approach to Measuring Consensus in Group Decision-Making Problems

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dc.cclicenceN/Aen
dc.contributor.authorTapia Garcia, Juan Miguel
dc.contributor.authorChiclana, Francisco
dc.contributor.authorDel Moral Avila, Maria Jose
dc.contributor.authorHerrera-Viedma, Enrique
dc.date.acceptance2022
dc.date.accessioned2022-12-13T10:59:21Z
dc.date.available2022-12-13T10:59:21Z
dc.date.issued2022-08-30
dc.description.abstractEntropy is a measure of randomness in a given set of data. An entropy measure could be appropriately used to assess consensus across a set of opinions. A Theil-based index is introduced in this paper to obtain the level of consensus in some problems of Group Decision Making. A comparative analysis reveals that the levels of consensus derived from this index are relatively similar to those obtained by using distance functions when a fuzzy preference relations frame is considered. This behavior suggests that this could be a useful tool in the aforementioned context.en
dc.funderNo external funderen
dc.identifier.citationTapia, J.M., Chiclana, F., del Moral, M.J., Herrera–Viedma, E. (2022). Entropy Based Approach to Measuring Consensus in Group Decision-Making Problems. In: Fujita, H., Fournier-Viger, P., Ali, M., Wang, Y. (eds) Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence. IEA/AIE 2022. Lecture Notes in Computer Science, 13343. Springeren
dc.identifier.doihttps://doi.org/10.1007/978-3-031-08530-7_34
dc.identifier.urihttps://hdl.handle.net/2086/22367
dc.language.isoenen
dc.peerreviewedYesen
dc.publisherSpringeren
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.subjectGroup decision makingen
dc.subjectFuzzy preferencesen
dc.subjectConsensusen
dc.subjectEntropyen
dc.subjectTheil indexen
dc.subjectDistance functionsen
dc.titleEntropy Based Approach to Measuring Consensus in Group Decision-Making Problemsen
dc.typeBook chapteren

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