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dc.contributor.authorMousseau, V.-
dc.contributor.authorFigueira, J.-
dc.contributor.authorNaux, J. -Ph.-
dc.identifier.citationEuropean Journal of Operational Research. 130:2 (2001) 263-275en_US
dc.description.abstractGiven 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.en_US
dc.subjectSorting problematicen_US
dc.subjectPreference disaggregationen_US
dc.subjectWeight elicitationen_US
dc.subjectNumerical experimentsen_US
dc.titleUsing assignment examples to infer weights for ELECTRE TRI method: Some experimental resultsen_US
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Appears in Collections:FEUC- Artigos em Revistas Internacionais
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