dc.creatorMorente-Molinera, Juan Antonio
dc.creatorAlonso, S. (1)
dc.creatorRíos Aguilar, Sergio (1)
dc.creatorGonzález-Crespo, Rubén (1)
dc.date.accessioned2021-05-14T09:49:21Z
dc.date.accessioned2023-03-07T19:31:03Z
dc.date.available2021-05-14T09:49:21Z
dc.date.available2023-03-07T19:31:03Z
dc.date.created2021-05-14T09:49:21Z
dc.identifier0302-9743
dc.identifierhttps://reunir.unir.net/handle/123456789/11342
dc.identifierhttps://doi.org/10.1007/978-3-030-55789-8_79
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5905660
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.
dc.languageeng
dc.publisherLecture Notes in Computer Science
dc.relation;vol. 12144
dc.relationhttps://link.springer.com/chapter/10.1007/978-3-030-55789-8_79
dc.rightsrestrictedAccess
dc.subjectclustering methods
dc.subjectlarge-scale group decision making
dc.subjecthuman-computer interaction
dc.subjectScopus(2)
dc.titleManaging situations with high number of elements in group decision making
dc.typeconferenceObject


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