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dc.contributor.authorMousseau, Vincent
HAL ID: 4625
dc.date.accessioned2011-07-29T14:35:13Z
dc.date.available2011-07-29T14:35:13Z
dc.date.issued2005
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/6855
dc.language.isoenen
dc.subjectPreference Elicitationen
dc.subjectMultiple Criteria Decision Aidingen
dc.subjectConstructive Learningen
dc.subject.ddc003en
dc.titleA general framework for constructive learning preference elicitation in multiple criteria decision aiden
dc.typeDocument de travail / Working paper
dc.description.abstractenMultiple Criteria Decision Aid (MCDA) aims at providing support to a decision maker (DM) involved in a decision process. This requires a decision aiding process in which the DM and an analyst interact to build a model grounded on several criteria. This decision aiding process is usually composed of various phases among which the identification of the stakeholders, the definition of set of alternatives, construction of evaluation criteria, the elicitation of the DM's preferences. The later task require to organize a preference elicitation process. In this paper, we aims at studying the nature of such elicitation process. We show that preference elicitation can be conceived so that the DM to elaborate his/her convictions along the elicitation process: constructive learning preference elicitation. We investigate the specificities of tools supporting such elicitation processes. We also provide a general framework to describe a large class of preference elicitation procedures.en
dc.publisher.nameUniversité Paris-Dauphineen
dc.publisher.cityParisen
dc.identifier.citationpages25en
dc.identifier.urlsitehttp://hal.archives-ouvertes.fr/hal-00013363/en/en
dc.description.sponsorshipprivateouien
dc.subject.ddclabelRecherche opérationnelleen


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