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dc.contributor.authorDenat, Tom*
dc.contributor.authorOzturk, Meltem*
dc.date.accessioned2016-12-07T13:01:32Z
dc.date.available2016-12-07T13:01:32Z
dc.date.issued2016
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/16073
dc.language.isoenen
dc.subjectpreference learning
dc.subjectdecision aiding
dc.subjectordinal classification
dc.subjectmonte carlo
dc.subject.ddc003en
dc.subject.classificationjelC.C4.C44en
dc.titleDominance based monte carlo algorithm for preference learning in the multi-criteria sorting problem: Theoretical properties
dc.typeCommunication / Conférence
dc.description.abstractenIn this article we study a new model-free Multi-CriteriaDecision Aiding (MCDA) method for sorting problems where ob-jects are assigned to predefined and ordered categories. The problemthat we deal is the following: given a learning set of objects definedon multi-attributes and already assigned by the decision maker, howto find the assignments of the remaining objects. Being model-free,we do not assume that the decision maker’s reasoning follows somewell-known and explicitly described rules or logic system. We onlyassume that monotonicity should be respected as well as the learningset. The specificity of our approach is to be probabilistic. A MonteCarlo principle is used where the median operator aggregates the re-sults of independent and randomized experiments. We proved thatour final sortings respect the monotonicity and the learning set andthe aggregation with the median operator converges almost surely.
dc.identifier.citationpages47-52
dc.relation.ispartoftitleFrom Multiple Criteria Decision Aid to Preference Learning. Proceedings of the DA2PL'2016 EURO Mini Conference
dc.relation.ispartofeditorRóbert Busa-Fekete, Eyke Hüllermeier, Vincent Mousseau, Karlson Pfannschmidt
dc.relation.ispartofpublnamePaderborn University
dc.relation.ispartofpublcityPaderborn
dc.relation.ispartofdate2016
dc.relation.isversionofbkpages47-52
dc.subject.ddclabelRecherche opérationnelleen
dc.relation.forthcomingnonen
dc.description.ssrncandidatenon
dc.description.halcandidateoui
dc.description.readershiprecherche
dc.description.audienceInternational
dc.date.updated2019-11-12T14:50:01Z
hal.person.labIds989*
hal.person.labIds989*
hal.identifierhal-01462108*


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