Importance and interaction of conditions in decision rules

Salvatore Greco, Benedetto Matarazzo, Roman Slowinski, Jerzy Stefanowski

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

    Abstract

    Knowledge discovered from data tables is often presented in terms of "if... then..." decision rules. With each rule a confidence measure is associated. We present a method for measuring importance of each single condition or interactions among groups of conditions in the "if" part of the rules. The methodology is based on some indices introduced in literature to analyze fuzzy measures.
    Original languageEnglish
    Title of host publicationRough sets and current trends in computing
    Subtitle of host publicationthird international conference, RSCTC 2002 Malvern, PA, USA, october 14–16, 2002 proceedings
    EditorsJames J. Alpigini, James F. Peters, Andrzej Skowron, Ning Zhong
    Place of PublicationBerlin, Germany
    PublisherSpringer
    Pages255-262
    Number of pages8
    Volume2475
    ISBN (Print)9783540442745
    DOIs
    Publication statusPublished - Oct 2002

    Publication series

    NameLecture notes in computer science
    PublisherSpringer
    Number2475

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