Using assignment examples to infer weights for ELECTRE TRI method: Some experimental results
European Journal of Operational ResearchPublished 1 April 2001Open access
Vincent Mousseau, José Rui Figueira, J.-Ph. Naux
Citations230
SJR quartileQ1
SJR score2.24
SNIP2.62
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TL;DR
Results showed that this tool is able to infer weights that restores in a stable way the assignment examples and that it was able to identify “inconsistencies” in the assignmentExamples.
Abstract
Given 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.
Keywords
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