A comparative approach of economic sectors in Sinaloa, Mexico, based on multicriteria decision aiding


  • Juan Carlos Leyva López Universidad de Occidente
  • Diego Alonso Gastélum Chavira Universidad de Occidente
  • Margarita Urías Ruiz Universidad de Occidente



Palabras clave:

Multicriteria decision analysis, Economic sectors, Multiobjective evolutionary algorithms


In this paper, a multicriteria approach for ranking the performance of the economic sectors of the Sinaloa economy is proposed, and the most attractive sectors are identified. The approach uses the ELECTRE-III method to construct a valued outranking relation and then a multiobjective evolutionary algorithm to exploit the relation to obtain a recommendation. The retail and manufacturing sectors were ranked first in all the rankings; the utilities sector was ranked second in all the rankings; and the mining sector and the management of companies and enterprises sector were ranked the lowest. The results of this application can be useful for investors, business leaders, and policy-makers. The multicriteria approach utilized in this study is simple; furthermore, it can treat uncertainty well. This study also contributes to an important, yet relatively new, body of economic applicationbased literature that investigates multicriteria approaches to decision making that use fuzzy theory and evolutionary multi-objective optimization methods. 


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Cómo citar

Leyva López J. C., Gastélum Chavira D. A., & Urías Ruiz M. (2016). A comparative approach of economic sectors in Sinaloa, Mexico, based on multicriteria decision aiding. EconoQuantum, 13(1), 97–124. https://doi.org/10.18381/eq.v13i1.4873