Afficher la notice abrégée

dc.contributor.authorMousseau, Vincent
dc.contributor.authorFigueira, José
dc.contributor.authorNaux, Jean-Philippe
dc.date.accessioned2010-04-12T10:55:10Z
dc.date.available2010-04-12T10:55:10Z
dc.date.issued2001
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/3927
dc.language.isoenen
dc.subjectNumerical experimentsen
dc.subjectWeight elicitationen
dc.subjectPreference disaggregationen
dc.subjectSorting problematicen
dc.subject.ddc003en
dc.titleUsing assignment examples to infer weights for ELECTRE TRI method: Some experimental resultsen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenGiven a finite set of alternatives A, the sorting (or assignment) problem consists in the assignment of each alternative to one of the pre-defined categories. In this paper, we are interested in multiple criteria sorting problems and, more precisely, in the existing method ELECTRE TRI. This method requires the elicitation of preferential parameters (weights, thresholds, category limits,…) in order to construct a preference model which the decision maker (DM) accepts as a working hypothesis in the decision aid study. A direct elicitation of these parameters requiring a high cognitive effort from the DM (V. Mosseau, R. Slowinski, Journal of Global Optimization 12 (2) (1998) 174), proposed an interactive aggregation–disaggregation approach that infers ELECTRE TRI parameters indirectly from holistic information, i.e., assignment examples. In this approach, the determination of ELECTRE TRI parameters that best restore the assignment examples is formulated through a nonlinear optimization program. In this paper, we consider the subproblem of the determination of the weights only (the thresholds and category limits being fixed). This subproblem leads to solve a linear program (rather than nonlinear in the global inference model). Numerical experiments were conducted so as to check the behaviour of this disaggregation tool. Results showed that this tool is able to infer weights that restores in a stable way the assignment examples and that it is able to identify “inconsistencies” in the assignment examples.en
dc.relation.isversionofjnlnameEuropean Journal of Operational Research
dc.relation.isversionofjnlvol130en
dc.relation.isversionofjnlissue2en
dc.relation.isversionofjnldate2001-04
dc.relation.isversionofjnlpages263-275en
dc.relation.isversionofdoihttp://dx.doi.org/10.1016/S0377-2217(00)00041-2en
dc.description.sponsorshipprivateouien
dc.relation.isversionofjnlpublisherElsevieren
dc.subject.ddclabelRecherche opérationnelleen


Fichiers attachés à cette notice

FichiersTailleFormatConsulter

Il n'y a pas de fichiers associés à cette notice.

Ce document fait partie de la (des) collection(s) suivante(s)

Afficher la notice abrégée