IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/4078909.html
   My bibliography  Save this article

An Outranking Multicriteria Method for Nominal Classification Problems with Minimum Performance Profiles

Author

Listed:
  • Maisa M. Silva
  • Ana Paula H. de Gusmão
  • Ana Paula C. S. Costa

Abstract

In recent years, nominal classification problems have gained importance, especially in the context of strategic management of organizations. In this sense, this paper presents a novel multicriteria nominal classification method, derived from the concepts of PROMETHEE, applied to use in problems characterized by minimum performance profiles (MMP) for the classes. The main advantages of this proposal are criterion and alternative flexibility for classes; robustness, because it uses the concepts of a well-known method (PROMETHEE); and usefulness, because many real situations are characterized by MMP for the classes. Moreover, a real-world example is presented: a retailer’s assignment in a bank, showing the applicability of the method. The proposal of a new multicriteria nominal classification method emerges from a need to devise a more flexible and realistic procedure for characterizing classes because the feature of criterion and alternative flexibility for classes has not been addressed in any extant multicriteria nominal classification procedure. The present proposal thereby endeavors to address this deficit in the multicriteria field.

Suggested Citation

  • Maisa M. Silva & Ana Paula H. de Gusmão & Ana Paula C. S. Costa, 2019. "An Outranking Multicriteria Method for Nominal Classification Problems with Minimum Performance Profiles," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-14, May.
  • Handle: RePEc:hin:jnlmpe:4078909
    DOI: 10.1155/2019/4078909
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2019/4078909.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2019/4078909.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2019/4078909?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:hin:jnlmpe:4078909. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.