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dc.contributor.authorMata, F.en
dc.contributor.authorMartinez, L.en
dc.contributor.authorHerrera-Viedma, Enriqueen
dc.date.accessioned2013-02-27T09:33:27Z
dc.date.available2013-02-27T09:33:27Z
dc.date.issued2009-04
dc.identifier.citationMata, F., Martinez, L. and Herrera-Viedma, E. (2009) An Adaptive Consensus Support Model for Group Decision-Making Problems in a Multigranular Fuzzy Linguistic Context. IEEE Transactions on Fuzzy Systems, 17 (2), pp. 279-290en
dc.identifier.issn1063-6706
dc.identifier.urihttp://hdl.handle.net/2086/8180
dc.description.abstractDifferent consensus models for group decisionmaking (GDM) problems have been proposed in the literature. However, all of them consider the consensus reaching process a rigid or inflexible one because its behavior remains fixed in all rounds of the consensus process. The aim of this paper is to improve the consensus reaching process in GDM problems defined in multigranular linguistic contexts, i.e., by using linguistic term sets with different cardinality to represent experts’ preferences. To do that, we propose an adaptive consensus support system model for this type of decision-making problem, i.e., a process that adapts its behavior to the agreement achieved in each round. This adaptive model increases the convergence toward the consensus and, therefore, reduces the number of rounds to reach it.en
dc.language.isoenen
dc.publisherIEEEen
dc.subjectConsensusen
dc.subjectfuzzy preference relationen
dc.subjectgroup decision making (GDM)en
dc.subjectlinguistic modelingen
dc.titleAn Adaptive Consensus Support Model for Group Decision-Making Problems in a Multigranular Fuzzy Linguistic Contexten
dc.typeArticleen
dc.identifier.doihttp://dx.doi.org/10.1109/TFUZZ.2009.2013457
dc.researchgroupDIGITSen
dc.ref2014.selected1367395509_1310680263284_11_4


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