IDEAS home Printed from https://ideas.repec.org/a/igg/jkbo00/v7y2017i3p52-72.html
   My bibliography  Save this article

The Some of the MADM Method Behaviors Versus Incomparability

Author

Listed:
  • Mohammad Azadfallah

    (Saipa Yadak, Business Studies and Development Office, Tehran, Iran)

Abstract

One of the advantages of the PROMETHEE I method is to bring out such incomparability's. Incomparability mostly means that the analysis of the decision problem does not permit to identify a relation of overall preference or indifference between two or more alternatives. Since, in this paper we intend to use of these properties to examination of the some of Multiple Attribute Decision Making (MADM) method (i.e., PROMETHEE II, AHP, TOPSIS, and ELECTRE) behaviors versus incomparability. It is hardly possible to evaluate the behavior of the various MADM models versus incomparability. Because, the different model reflects a different approach to solve the same decision problems. Therefore, we proposed an empirically testable index Distance of rank positions. Then, the different MADM method behaviors are examined. The results indicated that, the solution provided by AHP is more effective than others.

Suggested Citation

  • Mohammad Azadfallah, 2017. "The Some of the MADM Method Behaviors Versus Incomparability," International Journal of Knowledge-Based Organizations (IJKBO), IGI Global, vol. 7(3), pages 52-72, July.
  • Handle: RePEc:igg:jkbo00:v:7:y:2017:i:3:p:52-72
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJKBO.2017070105
    Download Restriction: no
    ---><---

    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:igg:jkbo00:v:7:y:2017:i:3:p:52-72. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.