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dc.contributor.authorMorente-Molinera, Juan Antonio
dc.contributor.authorAlonso, S.
dc.contributor.authorRíos Aguilar, Sergio
dc.contributor.authorGonzález-Crespo, Rubén
dc.date2020
dc.date.accessioned2021-05-14T09:49:21Z
dc.date.available2021-05-14T09:49:21Z
dc.identifier.issn0302-9743
dc.identifier.urihttps://reunir.unir.net/handle/123456789/11342
dc.description.abstractGroup Decision Making environments have completely changed. The number of information that the experts have available and that, therefore, they can use to discuss about is constantly increasing. There is a need of new Group Decision Making methods, like the one developed in this paper, that are capable of dealing with environments where the number of alternatives is high. In this paper, clustering methods are used in order to sort alternatives in categories and help experts in the task of making a decision.es_ES
dc.language.isoenges_ES
dc.publisherLecture Notes in Computer Sciencees_ES
dc.relation.ispartofseries;vol. 12144
dc.relation.urihttps://link.springer.com/chapter/10.1007/978-3-030-55789-8_79es_ES
dc.rightsrestrictedAccesses_ES
dc.subjectclustering methodses_ES
dc.subjectlarge-scale group decision makinges_ES
dc.subjecthuman-computer interactiones_ES
dc.subjectScopus(2)es_ES
dc.titleManaging situations with high number of elements in group decision makinges_ES
dc.typeconferenceObjectes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.1007/978-3-030-55789-8_79


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