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dc.contributor.authorPerez, L. G.en
dc.contributor.authorMata, F.en
dc.contributor.authorChiclana, Franciscoen
dc.contributor.authorKou, Gangen
dc.contributor.authorHerrera-Viedma, Enriqueen
dc.date.accessioned2015-12-18T09:44:17Z
dc.date.available2015-12-18T09:44:17Z
dc.date.issued2016-04
dc.identifier.citationPérez, L.G., Mata, F., Chiclana, F. et al. Soft Computing (2016) 20: 1653.en
dc.identifier.urihttp://hdl.handle.net/2086/11415
dc.description.abstractGroup decision making has been widely studied since group decision making processes are very common in many fields. Formal representation of the experts’ opinions, aggregation of assessments or selection of the best alternatives have been some of main areas addressed by scientists and researchers. In this paper, we focus on another promising area, the study of group decision making processes from the concept of influence and social networks. In order to do so, we present a novel model that gathers the experts’ initial opinions and provides a framework to represent the influence of a given expert over the other(s). With this proposal it is feasible to estimate both the evolution of the group decision making process and the final solution before carrying out the group discussion process and consequently foreseeing possible actions.en
dc.language.isoenen
dc.publisherSpringeren
dc.subjectGroup decision makingen
dc.subjectAggregation operatorsen
dc.subjectSocial networken
dc.subjectInfluenceen
dc.titleModeling Influence In Group Decision Makingen
dc.typeArticleen
dc.identifier.doihttps://doi.org/10.1007/s00500-015-2002-0
dc.researchgroupCentre for Computational Intelligenceen
dc.peerreviewedYesen
dc.funderThis research work has been supported with Feder funding by the research project of Education Ministery TIN2013-40658-P.en
dc.projectidTIN2013-40658-Pen
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en


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