Extension of the fuzzy dominance-based rough set approach using ordered weighted average operators

Marko Palangetić, Chris Cornelis, Salvatore Greco, Roman Słowiński

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    Abstract

    In the article we first review some known results on fuzzy versions of the dominance-based rough set approach (DRSA) where we expand the theory considering additional properties. Also, we apply Ordinal Weighted Average (OWA) operators in fuzzy DRSA. OWA operators have shown a lot of potential in handling outliers and noisy data in decision tables when it is combined with the indiscernibility-based rough set approach (IRSA). We examine theoretical properties of the proposed combination with fuzzy DRSA.

    Original languageEnglish
    Title of host publicationProceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019
    EditorsVilem Novak, Vladimir Marik, Martin Stepnicka, Mirko Navara, Petr Hurtik
    PublisherAtlantis Press
    Pages528-535
    Number of pages8
    ISBN (Electronic)9789462527706
    DOIs
    Publication statusPublished - 1 Aug 2020
    Event11th Conference of the European Society for Fuzzy Logic and Technology - Prague, Czech Republic
    Duration: 9 Sep 201913 Sep 2019

    Publication series

    NameAtlantis Studies in Uncertainty Modelling
    PublisherAtlantis Press
    Volume1
    ISSN (Electronic)2589-6644

    Conference

    Conference11th Conference of the European Society for Fuzzy Logic and Technology
    Abbreviated titleEUSFLAT 2019
    Country/TerritoryCzech Republic
    CityPrague
    Period9/09/1913/09/19

    Keywords

    • Dominance-based rough set approach
    • Fuzzy logic
    • Ordered Weighted Average

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