A multicriteria decision support system with an evolutionary algorithm for deriving final ranking from a fuzzy outranking relation

Abstract

The paper presents a new version of the multicriteria decision support system SADAGE for solving ranking problems: how to rank a set of alternatives—having evaluations in terms of several criteria—in decreasing order of preference. It uses the ELECTRE III methodology to construct a fuzzy outranking relation, and then a genetic algorithm (GA) or a multiobjective evolutionary algorithm (MOEA) to exploit it and to obtain a recommendation. The GA and the MOEA approaches rest on the main idea of reducing differences between the global model of preferences and the final ranking. The system operation is showed within an illustrating example.