A variance-based consensus degree in group decision making problems

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dc.cclicenceCC-BY-NC-NDen
dc.contributor.authordel Moral, Maria Joseen
dc.contributor.authorChiclana, Franciscoen
dc.contributor.authorTapia, Juan Miguelen
dc.contributor.authorHerrera-Viedma, Enriqueen
dc.date.acceptance2018-09-11en
dc.date.accessioned2018-10-24T08:14:34Z
dc.date.available2018-10-24T08:14:34Z
dc.date.issued2019-01
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.en
dc.funderThe authors would like to acknowledge FEDER financial support from the Project TIN2016-75850-R.en
dc.identifier.citationdel Moral, M.J., Chiclana, F., Tapia, J.M., Herrera-Viedma, E. (2019) A variance-based consensus degree in group decision making problems. HICSS-52: 52nd Hawaii International Conference on System Sciences (HICSS), Hawaii, January 2019.en
dc.identifier.urihttp://hdl.handle.net/2086/16813
dc.language.isoenen
dc.peerreviewedYesen
dc.projectidThe authors would like to acknowledge FEDER financial support from the Project TIN2016-75850-R.en
dc.researchgroupInstitute of Artificial Intelligence (IAI)en
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.titleA variance-based consensus degree in group decision making problemsen
dc.typeConferenceen

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