Dominance-based rough set approach using possibility and necessity measures

Salvatore Greco, Masahiro Inuiguchi, Roman Slowinski

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


    Dominance-based rough set approach is an extension of the basic rough set approach proposed by Pawlak, to multicriteria classification problems. In this paper, the dominance-based rough set approach is considered in the context of vague information on preferences and decision classes. The vagueness is handled by possibility and necessity measures defined using modifiers of fuzzy sets. Due to this way of handling the vagueness, the lower and upper approximations of preference-ordered decision classes are fuzzy sets whose membership functions are necessity and possibility measures, respectively.
    Original languageEnglish
    Title of host publicationRough sets and current trends in computing
    Subtitle of host publicationproceedings of the third international conference
    EditorsJames J. Alpigini, James F. Peters, Andrzej Skowron, Ning Zhong
    Place of PublicationBerlin, Germany
    Number of pages8
    ISBN (Print)9783540442745
    Publication statusPublished - 2002

    Publication series

    NameLecture notes in computer science


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