A fuzzy random variable approach to restructuring of rough sets through statistical test

Junzo Watada, Lee Chuan Lin, Minji Qiang, Pei Chun Lin

    研究成果: Conference contribution

    3 被引用数 (Scopus)

    抄録

    Usually it is hard to classify the situation where randomness and fuzziness exist simultaneously. This paper presents a method based on fuzzy random variables and statistical t-test to restructure a rough set. The algorithms of rough set and statistical t-test are used to distinguish whether a subset can be classified in the object set or not. The expected-value-approach is also applied to calculate the fuzzy value with probability into a scalar value.

    本文言語English
    ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    ページ269-277
    ページ数9
    5908 LNAI
    DOI
    出版ステータスPublished - 2009
    イベント12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2009 - Delhi
    継続期間: 2009 12 152009 12 18

    出版物シリーズ

    名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    5908 LNAI
    ISSN(印刷版)03029743
    ISSN(電子版)16113349

    Other

    Other12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2009
    CityDelhi
    Period09/12/1509/12/18

    ASJC Scopus subject areas

    • コンピュータ サイエンス(全般)
    • 理論的コンピュータサイエンス

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