Fuzzy multivariant analysis

Junzo Watada, Masato Takagi, Jacseok Choi

    Research output: Contribution to journalArticle

    Abstract

    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.

    Original languageEnglish
    Pages (from-to)173-179
    Number of pages7
    JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume3215
    Publication statusPublished - 2004

    Fingerprint

    Multivariant analysis
    Fuzzy sets
    Fuzzy Sets
    Fuzzy Classification
    Pattern Classification
    Discriminant
    Pattern recognition
    Model

    ASJC Scopus subject areas

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

    Cite this

    Fuzzy multivariant analysis. / Watada, Junzo; Takagi, Masato; Choi, Jacseok.

    In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3215, 2004, p. 173-179.

    Research output: Contribution to journalArticle

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