Rankings from Fuzzy Pairwise Comparisons

P.M. van den Broek, J.A.R. Noppen

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    Abstract

    We propose a new method for deriving rankings from fuzzy pairwise comparisons. It is based on the observation that quantification of the uncertainty of the pairwise comparisons should be used to obtain a better crisp ranking, instead of a fuzzified version of the ranking obtained from crisp pairwise comparisons. With our method, a crisp ranking is obtained by solving a linear programming problem, when the fuzzy pairwise comparisons are fuzzy triangular numbers. Our method simplifies the recent method by Mikhailov.
    Original languageUndefined
    Title of host publicationCIMCA05, the 2005 International Conference on Computational Intelligence for Modelling, Control & Automation
    EditorsM. Mohammadian
    Place of PublicationLos Alamitos, California, USA
    PublisherIEEE Computer Society
    Pages188-190
    Number of pages3
    ISBN (Print)978-0-7695-2504-4
    DOIs
    Publication statusPublished - 2006

    Publication series

    Name
    PublisherIEEE Computer Society
    Volume2

    Keywords

    • SE-SC: Soft Computing applied to Software Engineering
    • METIS-248478
    • EWI-9077
    • IR-63913

    Cite this

    van den Broek, P. M., & Noppen, J. A. R. (2006). Rankings from Fuzzy Pairwise Comparisons. In M. Mohammadian (Ed.), CIMCA05, the 2005 International Conference on Computational Intelligence for Modelling, Control & Automation (pp. 188-190). [10.1109/CIMCA.2005.1631466] Los Alamitos, California, USA: IEEE Computer Society. https://doi.org/10.1109/CIMCA.2005.1631466