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

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-NSGA-II). To measure the performance of RP-NSGA-II, we present an empirical study over a set of simulated multi-criteria ranking...

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Detalhes bibliográficos
Main Authors: Juan Carlos Leyva López, Jesús Jaime Solano Noriega, Jorge Luis García Alcaraz, Diego Alonso Gastélum Chavira
Formato: Artigo
Idioma:Inglês
Publicado em: Springer 2016-08-01
Colecção:International Journal of Computational Intelligence Systems
Assuntos:
Multi-criteria Decision Analysis
Outranking Relations
Multi-objective Evolutionary Algorithms
Ranking Procedures
Acesso em linha:https://www.atlantis-press.com/article/25868725/view
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