Abstract
In this paper, a multi-criteria approach for ranking the Municipalities of the States of Mexico by their levels of marginalization is proposed, and the case for the State of Jalisco is presented. The approach uses the ELECTRE III method to construct a medium-sized valued outranking relation and then employs a new multi-objective evolutionary algorithm (MOEA) based on non-dominated sorting genetic algorithm II (NSGA-II) to exploit the relation to obtain a recommendation. The results of this application can be useful for policy-makers, planners, academics, investors, and business leaders. This study also contributes to an important, yet relatively new, body of application-based literature that investigates multi-criteria approaches to decision making that use fuzzy theory and evolutionary multi-objective optimization methods. A comparison of the ranking obtained with the proposed methodology and the stratifications created by the National Population Council of Mexico shows that the methodology presented consistent and reliable results for this problem.
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Noriega, J.J.S., López, J.C.L., Chavira, D.A.G. (2015). Marginalization in Mexico: An Application of the ELECTRE III–MOEA Methodology. In: Gaspar-Cunha, A., Henggeler Antunes, C., Coello, C. (eds) Evolutionary Multi-Criterion Optimization. EMO 2015. Lecture Notes in Computer Science(), vol 9019. Springer, Cham. https://doi.org/10.1007/978-3-319-15892-1_32
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DOI: https://doi.org/10.1007/978-3-319-15892-1_32
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