Volume 9, Issue 4, August 2016, Pages 745 - 764
Exploitation of a Medium-Sized Fuzzy Outranking Relation Based on Multi-objective Evolutionary Algorithms to Derive a Ranking
Authors
Juan Carlos Leyva López1, 3, juan.leyva@udo.mx, Jesús Jaime Solano Noriega2, al127821@alumnos.uacj.mx, Jorge Luis García Alcaraz2, jorge.garcia@uacj.mx, Diego Alonso Gastélum Chavira1, diego.gastelum@udo.mx
1Universidad de Occidente, Blvd. Lola Beltrán y Blvd. Rolando Arjona Culiacán, Sinaloa, México
2Universidad Autónoma de Ciudad Juárez, Ave. Del Charro 450 Norte Ciudad Juárez, Chihuahua, México
3Universidad Autónoma de Sinaloa, Ciudad Universitaria, Culiacán, Sinaloa, México
Received 22 November 2015, Accepted 11 April 2016, Available Online 1 August 2016.
- DOI
- 10.1080/18756891.2016.1204122How to use a DOI?
- Keywords
- Multi-criteria Decision Analysis; Outranking Relations; Multi-objective Evolutionary Algorithms; Ranking Procedures
- Abstract
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.
- Copyright
- © 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/).
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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 - 10.1080/18756891.2016.1204122 ID - LeyvaLópez2016 ER -