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An Application of a Multicriteria Approach to Compare Economic Sectors: The Case of Sinaloa, Mexico

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Evolutionary Multi-Criterion Optimization (EMO 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7811))

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Abstract

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. To achieve this goal, the software SADAGE was used for solving ranking problems, which require one to rank a set of alternatives - given evaluations in terms of several criteria - in decreasing order of preference. The approach uses the ELECTRE III method to construct a valued outranking relation and then a multiobjective evolutionary algorithm (MOEA) 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; the mining sector and the management of companies and enterprises sector were ranked lowest. The results of this application can be useful for investors, business leaders, and policy-makers. This study also contributes to an important, yet relatively new, body of application-based literature that investigates multicriteria approaches to decision making that use fuzzy theory and evolutionary multi-objective optimization methods.

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Author information

Authors and Affiliations

  1. Universidad de Occidente, Blvd. Lola Beltrán y Blvd. Rolando Arjona, Culiacán, Sinaloa, México

    Juan Carlos Leyva López, Diego Alonso Gastélum Chavira & Margarita Urías Ruiz

Authors
  1. Juan Carlos Leyva López
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  2. Diego Alonso Gastélum Chavira
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  3. Margarita Urías Ruiz
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Editor information

Editors and Affiliations

  1. Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, S1 3JD, Sheffield, UK

    Robin C. Purshouse

  2. Department of Automatic Control Systems and Engineering, University of Sheffield, Mappin Street, S1 3JD, Sheffield, UK

    Peter J. Fleming

  3. Department of Informatics Engineering, University of Coimbra, Pólo II, Pinhal de Marrocos, 3030-290, Coimbra, Portugal

    Carlos M. Fonseca

  4. Department of Economics and Business, University of Catania, Corso Italia 55, 95129, Catania, Italy

    Salvatore Greco

  5. Unilever Research & Development Port Sunlight, Quarry Road East, CH63 3JW, Merseyside, UK

    Jane Shaw

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López, J.C.L., Chavira, D.A.G., Ruiz, M.U. (2013). An Application of a Multicriteria Approach to Compare Economic Sectors: The Case of Sinaloa, Mexico. In: Purshouse, R.C., Fleming, P.J., Fonseca, C.M., Greco, S., Shaw, J. (eds) Evolutionary Multi-Criterion Optimization. EMO 2013. Lecture Notes in Computer Science, vol 7811. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37140-0_53

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  • DOI: https://doi.org/10.1007/978-3-642-37140-0_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37139-4

  • Online ISBN: 978-3-642-37140-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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