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hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorNefla, Ons
dc.contributor.authorBrigui, Imène
dc.contributor.authorViappiani, Paolo
dc.contributor.authorRaboun, Oussama
dc.date.accessioned2021-11-30T10:41:18Z
dc.date.available2021-11-30T10:41:18Z
dc.date.issued2020
dc.identifier.urihttps://basepub.dauphine.psl.eu/handle/123456789/22311
dc.language.isoenen
dc.subjectsimulationsen
dc.subjectpreferencesen
dc.subjectgroup decision makingen
dc.subjectmultiagent systemsen
dc.subjectnegotiationen
dc.subjectordinal classificationen
dc.subject.ddc003en
dc.titleAgent-based ordinal classification for group decision makingen
dc.typeCommunication / Conférence
dc.description.abstractenIn this article we are interested in group decision aiding for an ordinal classification problem. Our approach is based on a multiagent system where each decision maker is represented by a user agent and the process is guided by a mediator agent. Each user agent has a personalized preferencebased behavior defined by a utility function. The aim of the process is to converge to a group classification using a negotiation procedure. We present an experiment with real and simulated data in order to illustrate our approach and assess its performance (with respect to both user satisfaction and privacy) comparing it with two centralized methods.en
dc.subject.ddclabelRecherche opérationnelleen
dc.relation.conftitleThe 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'20)en
dc.relation.confdate2020-12
dc.relation.confcityMelbourne (en virtuel)en
dc.relation.confcountryAustraliaen
dc.relation.forthcomingnonen
dc.description.ssrncandidatenon
dc.description.halcandidatenonen
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2021-11-30T10:39:12Z
hal.author.functionaut
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