Exploitation of a Medium-Sized Fuzzy Outranking Relation Based on Multi-objective Evolutionary Algorithms to Derive a Ranking

Juan Carlos Leyva López, Jesús Jaime Solano Noriega, Jorge Luis García Alcaraz, Diego Alonso Gastélum Chavira
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
more » ... s of the state of Guanajuato, Mexico by their levels of marginalization. (DMs or DM for a unique Decision Maker) to solve this type of problem 1 . In the outranking approach of MCDA for the ranking problem, no prior information regarding the structure of the set of alternatives is known and the aim lies in constructing and understanding this structure. Within MCDA, the methods related to the outranking approach are attractive and suitable for ranking problems due to their simplicity 2 . Usually, these methods are performed in two main steps. First, a
doi:10.1080/18756891.2016.1204122 fatcat:aqgkj6ckfvfhrgyfr7w2j4x6hm