Exploitation of a Medium-Sized Fuzzy Outranking Relation Based on Multi-objective Evolutionary Algorithms to Derive a Ranking
- https://doi.org/10.1080/18756891.2016.1204122How to use a DOI?
- Multi-criteria Decision Analysis, Outranking Relations, Multi-objective Evolutionary Algorithms, Ranking Procedures
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 RP2-NSGA-II). To measure the performance of RP2-NSGA-II, we present an empirical study over a set of simulated multi-criteria ranking problems. The result of this study shows that RP2-NSGA-II can effectively exploit a medium-sized fuzzy outranking relation. Finally, we present a real-case study for ranking the municipalities of the state of Guanajuato, Mexico by their levels of marginalization.
- © 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
Cite this article
TY - JOUR AU - Juan Carlos Leyva López AU - Jesús Jaime Solano Noriega AU - Jorge Luis García Alcaraz AU - Diego Alonso Gastélum Chavira PY - 2016 DA - 2016/08/01 TI - Exploitation of a Medium-Sized Fuzzy Outranking Relation Based on Multi-objective Evolutionary Algorithms to Derive a Ranking JO - International Journal of Computational Intelligence Systems SP - 745 EP - 764 VL - 9 IS - 4 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2016.1204122 DO - https://doi.org/10.1080/18756891.2016.1204122 ID - LeyvaLópez2016 ER -