Rough sets based incremental rule acquisition in set-valued information systems

Junbo Zhang, Tianrui Li, Da Ruan

    Research outputpeer-review

    Abstract

    Set-valued information systems may evolve over time. How to acquire rules from updating information systems is vital in decision making. Rule acquisition from set-valued decision information systems needs both accuracy and coverage. To fast compute and update the accuracy and coverage, the tolerance matrix (relation matrix) and decision matrix are given when the object set varies with time. A case study on the incremental approach validates the feasibility of the proposed algorithm.

    Original languageEnglish
    Title of host publicationAutonomous Systems
    Subtitle of host publicationDevelopments and Trends
    EditorsHerwig Unger, Kyandoghere Kyamakya, Janusz Kacprzyk
    Pages135-146
    Number of pages12
    DOIs
    StatePublished - 2011

    Publication series

    NameStudies in Computational Intelligence
    Volume391
    ISSN (Print)1860-949X

    ASJC Scopus subject areas

    • Artificial Intelligence

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