Multicriteria choice and ranking using decision rules induced from rough approximation of graded preference relations

P. Fortemps, Salvatore Greco, R. Slowinski

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

    Abstract

    The approach described in this paper can be applied to support multicriteria choice and ranking of actions when the input preferential information acquired from the decision maker is a graded pairwise comparison (or ranking) of reference actions. It is based on decision-rule preference model induced from a rough approximation of the graded comprehensive preference relation among the reference actions. The set of decision rules applied to a new set of actions provides a fuzzy preference graph, which can be exploited by an extended fuzzy net flow score, to build a final ranking.
    Original languageEnglish
    Title of host publicationRough sets and current trends in computing: proceedings of the 4th international conference
    EditorsS. Tsumoto, R. Slowinski, J. Komorowski, J. Grzymala-Busse
    Place of PublicationBerlin
    PublisherSpringer
    Pages510-522
    Number of pages13
    Volume3066
    Edition3066
    ISBN (Print)9783540221173
    DOIs
    Publication statusPublished - Jun 2004

    Publication series

    NameLecture notes in computer science
    PublisherSpringer
    Number3066
    ISSN (Print)0302-9743

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