IDEAS home Printed from https://ideas.repec.org/a/ids/ijidsc/v13y2021i1p1-15.html
   My bibliography  Save this article

Integrating statistical correlation with discrete multi-criteria decision-making

Author

Listed:
  • Malik Haddad
  • David Sanders
  • Giles Tewkesbury
  • Nils Bausch

Abstract

This paper analyses two hypotheses that considers a correlation between the number of alternatives and the number of criteria considered in a multiple criteria decision-making (MCDM) problem with the minimum percentage change required in the lowest criterion weight to change the outcome of a method. Two MCDM methods are considered, the analytical hierarchy process (AHP) and the preference ranking organisation method for enrichment of evaluations II (PROMETHEE II) were applied to the same sets of criteria weights and performance measures. More than two thousand randomly generated sets of criteria weights and performance measures are considered. The minimum percentage change in the lowest criterion weight required to change the outcome of a method is calculated. Pearson's r parametric test is used to test the hypotheses. Results from parametric test were statistically significant and shows a weak negative correlation for Hypothesis 1 and weak positive correlation for Hypothesis 2.

Suggested Citation

  • Malik Haddad & David Sanders & Giles Tewkesbury & Nils Bausch, 2021. "Integrating statistical correlation with discrete multi-criteria decision-making," International Journal of Information and Decision Sciences, Inderscience Enterprises Ltd, vol. 13(1), pages 1-15.
  • Handle: RePEc:ids:ijidsc:v:13:y:2021:i:1:p:1-15
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=113599
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Seyyed Shahabaddin Hosseini Dehshiri & Bahar Firoozabadi & Hossein Afshin, 2023. "A multidisciplinary approach to identify dust storm sources based on measurement of alternatives and ranking according to compromise solution (MARCOS): case of Yazd in Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(2), pages 1663-1688, March.

    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:ijidsc:v:13:y:2021:i:1:p:1-15. 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=306 .

    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.