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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© 2014 Springer-Verlag Berlin Heidelberg
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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
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