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dc.contributor.authorTsoukiàs, Alexis*
dc.contributor.authorOzturk, Meltem*
dc.date.accessioned2010-01-16T11:50:53Z
dc.date.available2010-01-16T11:50:53Z
dc.date.issued2007
dc.identifier.issn0167-9236
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/2983
dc.language.isoenen
dc.subjectPossibility theory
dc.subjectFour valued logic
dc.subjectUncertainty
dc.subjectPreference modelling
dc.subjectDecision making
dc.subject.ddc003en
dc.titleModelling uncertain positive and negative reasons in decision aiding
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenThe use of positive and negative reasons in inference and decision aiding is a recurrent issue of investigation as far as the type of formal language to use within a DSS is concerned. A language enabling to explicitly take into account such reasons is Belnap's logic and the four valued logics derived from it. In this paper, we explore the interpretation of a continuous extension of a four valued logic as a necessity degree (in possibility theory). It turns out that, in order to take full advantage of the four values, we have to consider “sub-normalised” necessity measures. Under such a hypothesis four valued logics become the natural logical frame for such an approach.
dc.relation.isversionofjnlnameDecision Support Systems
dc.relation.isversionofjnlvol43
dc.relation.isversionofjnlissue4
dc.relation.isversionofjnldate2007
dc.relation.isversionofjnlpages1512-1526
dc.relation.isversionofdoihttp://dx.doi.org/10.1016/j.dss.2006.06.005
dc.description.sponsorshipprivateouien
dc.relation.isversionofjnlpublisherElsevier
dc.subject.ddclabelRecherche opérationnelleen
dc.description.ssrncandidatenon
dc.description.halcandidateoui
dc.description.readershiprecherche
dc.description.audienceInternational
dc.relation.Isversionofjnlpeerreviewedoui
dc.date.updated2019-11-12T13:59:42Z
hal.person.labIds989*
hal.person.labIds989*


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