International Journal of Computational Intelligence Systems

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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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
9 - 4
Pages
745 - 764
Publication Date
2016/08/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2016.1204122How to use a DOI?
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/).

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  - 10.1080/18756891.2016.1204122
ID  - LeyvaLópez2016
ER  -