IDEAS home Printed from https://ideas.repec.org/a/ids/ijeima/v25y2021i2-3p184-210.html
   My bibliography  Save this article

A multiobjective evolutionary algorithm for deriving a final ranking from a medium-sized fuzzy outranking relation

Author

Listed:
  • Juan Carlos Leyva-López
  • Jesús Jaime Solano-Noriega
  • Diego Alonso Gastélum-Chavira

Abstract

The exploitation stage of a fuzzy outranking relation of the outranking methods aims to deal with the intransitivities in such a relation to consolidate and synthesise the decision maker's preferences between pairs of actions to obtain a ranking that is representative of his/her preferences over a given set of actions. In this paper, we propose this exploitation phase as a multiobjective optimisation problem and use a modified version of the multiobjective genetic algorithm (we refer to it as RP2-MOGA+H) to exploit a medium-sized fuzzy outranking relation to determining a partial pre-order of alternatives. To measure the performance of RP2-MOGA+H, we present an empirical study over a set of simulated ranking problems, which shows that RP2-MOGA+H can effectively exploit a medium-sized fuzzy outranking relation. Moreover, the RP2-MOGA+H outperforms other ranking procedures based on multiobjective evolutionary algorithms in the conducted experiments.

Suggested Citation

  • Juan Carlos Leyva-López & Jesús Jaime Solano-Noriega & Diego Alonso Gastélum-Chavira, 2021. "A multiobjective evolutionary algorithm for deriving a final ranking from a medium-sized fuzzy outranking relation," International Journal of Entrepreneurship and Innovation Management, Inderscience Enterprises Ltd, vol. 25(2/3), pages 184-210.
    • Handle: RePEc:ids:ijeima:v:25:y:2021:i:2/3:p:184-210
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=115055
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijeima:v:25:y:2021:i:2/3:p:184-210. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=7 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.