Abstract
Methods based on fuzzy outranking relations constitute one of the main approaches to multiple criteria decision problems. In this paper we examine multicriteria selection and ranking problems for which ELECTRE III is one of the most popular methods. ELECTRE III applications require the elicitation of a large number of parameters: weights and different thresholds; but direct eliciting is often an arduous task for the decision-maker. In this paper, an evolutionary-multiobjective-based indirect elicitation of the complete ELECTRE III modelparameter set is proposed. The proposal needs some kind of “preference knowledge”, which is implicit in a set of reference examples illustrating the decision policy from a “decision-maker”. This method performs very well in some illustrative examples; its generalization to other outranking methods is straightforward.
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Fernández, E., Navarro, J., Mazcorro, G. (2014). An Evolutionary Multi-objective Algorithm for Inferring Parameters in Outranking-Based Decision Models: The Case of the ELECTRE III Method. In: Espin, R., Pérez, R., Cobo, A., Marx, J., Valdés, A. (eds) Soft Computing for Business Intelligence. Studies in Computational Intelligence, vol 537. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53737-0_26
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DOI: https://doi.org/10.1007/978-3-642-53737-0_26
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