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Exploitation of a Medium-Sized Fuzzy Outranking Relation Based on Multi-objective Evolutionary Algorithms to Derive a Ranking
2016
International Journal of Computational Intelligence Systems
We present a multi-objective evolutionary algorithm to exploit a medium-sized fuzzy outranking relation to derive a partial order of classes of alternatives (we call it RP 2 -NSGA-II). To measure the performance of RP 2 -NSGA-II, we present an empirical study over a set of simulated multi-criteria ranking problems. The result of this study shows that RP 2 -NSGA-II can effectively exploit a medium-sized fuzzy outranking relation. Finally, we present a real-case study for ranking the
doi:10.1080/18756891.2016.1204122
fatcat:aqgkj6ckfvfhrgyfr7w2j4x6hm