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A Computational Evaluation of Two Ranking Procedures for Valued Outranking Relations

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Soft Computing for Business Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 537))

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Abstract

In this paper are examined the ranking methods Net Flow Rule (NFR) and a method based on multiobjective evolutionary algorithms (MOEA), which allow exploiting a known valued outranking relation, and are studied some kind of ranking irregularities these procedures suffer and analyzed the reasons of the phenomenon. Furthermore, the two ranking methods are evaluated in terms of one ranking test, which they fail. Hypothetical examples are described to demonstrate the occurrence of ranking irregularities. Next a computational study was implemented and discussed. The results of examinations show that i) the rates of ranking irregularities were rather significant when the ranking obtained with the two ranking procedures were compared with the simulated “correct” ranking and the associated valued outranking relation studied in this research, ii) the rates of the ranking irregularities were more considerable for the NFR rather than the MOEA procedure.

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Authors and Affiliations

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

    Juan Carlos Leyva López & Mario Araoz Medina

Authors
  1. Juan Carlos Leyva López
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  2. Mario Araoz Medina
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Correspondence to Juan Carlos Leyva López .

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Editors and Affiliations

  1. Centro de Estudios de Técnicas de Dirección, Instituto Superior Politécnico José Antonio Echeverría, La Habana, Cuba

    Rafael Espin

  2. Centro de Estudios de Informática Carretera a Camajuani, Universidad Central Marta Abreu de Las Villas, Santa Clara, Cuba

    Rafael Bello Pérez

  3. Department of Applied Mathematics and Computer Science, Universidad de Cantabria, Santander, Spain

    Angel Cobo

  4. Department für Informatik, Carl Von Ossietzky Universität Oldenburg, Oldenburg, Germany

    Jorge Marx

  5. Instituto Superior Politécnico José Antonio Echeverría, La Habana, Cuba

    Ariel Racet Valdés

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López, J.C.L., Medina, M.A. (2014). A Computational Evaluation of Two Ranking Procedures for Valued Outranking Relations. In: Espin, R., Pérez, R., Cobo, A., Marx, J., Valdés, A. (eds) Soft Computing for Business Intelligence. Studies in Computational Intelligence, vol 537. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53737-0_20

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  • DOI: https://doi.org/10.1007/978-3-642-53737-0_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53736-3

  • Online ISBN: 978-3-642-53737-0

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