Fuzzy multivariant analysis

Junzo Watada, Masato Takagi, Jacseok Choi

    研究成果: Article査読

    抄録

    In this paper we will analyze data obtained from a fuzzy set, where samples are defined using a membership grade of a fuzzy set. Generally, multivariant model is to analyze samples characterized using plural variants. In this paper such smaples are also characterized by a fuzzy set. Our aim is to build fuzzy discriminant model and fuzzy pattern classification model.

    本文言語English
    ページ(範囲)173-179
    ページ数7
    ジャーナルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    3215
    出版ステータスPublished - 2004

    ASJC Scopus subject areas

    • Computer Science(all)
    • Biochemistry, Genetics and Molecular Biology(all)
    • Theoretical Computer Science

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