Show simple item record

dc.contributor.authordel Moral, Maria Joseen
dc.contributor.authorChiclana, Franciscoen
dc.contributor.authorTapia Garcia, Juan Miguelen
dc.contributor.authorHerrera-Viedma, Enriqueen
dc.date.accessioned2017-12-19T12:44:48Z
dc.date.available2017-12-19T12:44:48Z
dc.date.issued2017-12
dc.identifier.citationdel Moral M. J., Chiclana, F.,Tapia, J. M.,Herrera-Viedma, E. (2017) A Comparative Study on Consensus Measures in Group Decision Making. International Journal of Intelligent Systems.en
dc.identifier.issn1098-111X
dc.identifier.urihttp://hdl.handle.net/2086/15024
dc.descriptionThe file attached to this record is the author's final peer reviewed version.en
dc.description.abstractIn group decision making problems it is desirable to obtain a high level of consensus among experts before reaching a solution. It is customary to construct consensus measures by using similarity functions to quantify the closeness of experts preferences. In such process the use of a metric that describes the distance between experts preferences allows the definition of similarity and dissimilarity -distance- functions. Different distance functions have been proposed in order to implement consensus measures. This paper examines how the use of different aggregation operators affects the level of consensus achieved by experts through different distance functions, once the number of experts has been established in the decision making problem. The experimental study conducted states that the speed of the consensus process is significantly affected by the use of diverse aggregation operators and distance functions. Several decision support rules which can be useful in controling the convergence speed of the consensus process are also derived.en
dc.language.isoen_USen
dc.publisherWileyen
dc.subjectGroup Decision Makingen
dc.subjectFuzzy Preferencesen
dc.subjectSimilarityen
dc.subjectConsensusen
dc.subjectDecision Support Rulesen
dc.titleA Comparative Study on Consensus Measures in Group Decision Makingen
dc.typeArticleen
dc.identifier.doihttps://doi.org/10.1002/int.21954
dc.researchgroupCentre for Computational Intelligenceen
dc.peerreviewedYesen
dc.explorer.multimediaNoen
dc.funderThis research work has been supported by the research project grant TIN2016-75850-R from the FEDER funds.en
dc.projectidThis research work has been supported by the research project grant TIN2016-75850-R from the FEDER funds.en
dc.cclicenceCC-BY-NCen
dc.date.acceptance2017-11-05en
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record