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Rough Set Approach under Dynamic Granulation in Incomplete Information Systems

Yuhua Qian, Jiye Liang, Xia Zhang, Chuangyin Dang

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Abstract

    In this paper, the concept of a granulation order is proposed in an incomplete information system. Positive approximation of a set under a granulation order is denned and its some useful properties are investigated. Unlike classical rough set, this approach focuses on how to describe the structure of a rough set in incomplete information systems. For a subset of the universe, its approximation accuracy is monotonously increasing under a granulation order. This means that a proper family of granulations can be chosen for a target-concept approximation according to user requirements. © Springer-Verlag Berlin Heidelberg 2007.
    Original languageEnglish
    Title of host publicationMICAI 2007: Advances in Artificial Intelligence
    Subtitle of host publication6th Mexican International Conference on Artificial Intelligence, Aguascalientes, Mexico, November 4-10, 2007, Proceedings
    EditorsAlexander Gelbukh, Ángel Fernando Kuri Morales
    Place of PublicationBerlin, Heidelberg
    PublisherSpringer 
    Pages1-8
    ISBN (Electronic)978-3-540-76631-5
    ISBN (Print)9783540766308
    DOIs
    Publication statusPublished - 2007
    Event6th Mexican International Conference on Artificial Intelligence (MICAI 2007) - Aguascalientes, Mexico
    Duration: 4 Nov 200710 Nov 2007

    Publication series

    NameLecture Notes in Computer Science
    Volume4827
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference6th Mexican International Conference on Artificial Intelligence (MICAI 2007)
    PlaceMexico
    CityAguascalientes
    Period4/11/0710/11/07

    Research Keywords

    • Dynamic granulation
    • Granular computing
    • Information systems
    • Partial relation

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