Interaction of criteria and robust ordinal regression in bi-polar PROMETHEE methods

S. Corrente, J. Figueira, Salvatore Greco

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review


    In this paper we consider the bipolar approach to Multiple Criteria Decision Analysis (MCDA). In particular we aggregate positive and negative preferences by means of the bipolar PROMETHEE method. To elicit preferences we consider Robust Ordinal Regression (ROR) that has been recently proposed to derive robust conclusions through the use of the concepts of possible and necessary preferences. It permits to take into account the whole set of preference parameters compatible with the preference information given by the Decision Maker (DM).
    Original languageEnglish
    Title of host publicationAdvances in computational intelligence: 14th international conference on information processing and management of uncertainty in knowledge-based systems, proceedings, part 4
    EditorsSalvatore Greco, B. Bouchon-Meunier, G. Coletti, M. Fedrizzi, B. Matarazzo, R. Yager
    Place of PublicationBerlin
    Number of pages11
    ISBN (Print)9783642317231
    Publication statusPublished - 2012

    Publication series

    NameCommunications in computer and information science
    ISSN (Print)1865-0929


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