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IRIS: a DSS for Multiple Criteria Sorting Problems

dc.contributor.authorDias, Luis
dc.contributor.authorMousseau, Vincent
HAL ID: 4625
dc.date.accessioned2009-10-02T12:39:12Z
dc.date.available2009-10-02T12:39:12Z
dc.date.issued2003
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/2082
dc.language.isoenen
dc.subjectDécision multicritèreen
dc.subjectSoftwareen
dc.subjectELECTRE TRIen
dc.subjectClassificationen
dc.subjectSortingen
dc.subjectDecision support systemsen
dc.subject.ddc003en
dc.titleIRIS: a DSS for Multiple Criteria Sorting Problemsen
dc.typeArticle accepté pour publication ou publié
dc.contributor.editoruniversityotherFaculdade de Economia, Universidade de Coimbra;Portugal
dc.description.abstractenThis paper presents Interactive Robustness analysis and parameters' Inference for multicriteria Sorting problems (IRIS), a Decision Support System (DSS) designed to sort actions (projects, candidates, alternatives, clients, etc.) described by their performances on multiple criteria into an ordered set of categories defined a priori. It is based on the ELECTRE TRI sorting method, but does not require the decision maker (DM) to indicate precise values for all of the method's parameters. More realistically, the software expects the DM to indicate some constraints that these parameters should respect, including sorting examples that the program should reproduce. If the constraints indicated by the DM do not contradict each other (i.e. form a consistent system), then IRIS infers a combination of parameter values that reproduces all the sorting examples, indicating also the range of possible assignments of actions to categories that would be possible without violating any of the stated constraints. If the constraints are contradictory (i.e. form an inconsistent system), then IRIS suggests a combination of parameter values that minimizes an error function and identifies alternative ways to restore the system's consistency by removing some constraints.en
dc.relation.isversionofjnlnameJournal of Multi-Criteria Decision Analysis
dc.relation.isversionofjnlvol12en
dc.relation.isversionofjnlissue4-5en
dc.relation.isversionofjnldate2003
dc.relation.isversionofjnlpages285-298en
dc.relation.isversionofdoihttp://dx.doi.org/10.1002/mcda.364en
dc.description.sponsorshipprivateouien
dc.relation.isversionofjnlpublisherJohn Wiley & Sonsen
dc.subject.ddclabelRecherche opérationnelleen


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