IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

A branch and bound algorithm to construct a consensus ranking based on Kendall’s T

Listed author(s):
  • SPRINGAEL, Johan
  • DE KEYSER, Wim
Registered author(s):

    The aim of this paper is to present a branch and bound algorithm, which allows the construction of a consensus ranking out of a set of complete rankings over all alternatives. Each ranking of this set corresponds to the judgement of a decision maker with respect to the given list of alternatives. The method itself is based on the use of Kendall’s rankcorrelation coefficient so as to be able to compare the decision makers’ rankings, and to take the ordinal character of the rankings fully into account. Through the introduction of the concept of piecewise rankcorrelation coefficients, a recursion formula is derived, which enables one to obtain the necessary tool to setup the branch and bound algorithm.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: no

    Paper provided by University of Antwerp, Faculty of Applied Economics in its series Working Papers with number 2005030.

    in new window

    Length: 11 pages
    Date of creation:
    Handle: RePEc:ant:wpaper:2005030
    Contact details of provider: Postal:
    Prinsstraat 13, B-2000 Antwerpen

    Web page:

    More information through EDIRC

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:ant:wpaper:2005030. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joeri Nys)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.