A fuzzy support vector machine with qualitative regression preset

Yicheng Wei*, Junzo Watada, Witold Pedrycz

*この研究の対応する著者

    研究成果: Conference contribution

    6 被引用数 (Scopus)

    抄録

    In this paper, we formulate a qualitative classification model by means of qualitative fuzzy regression presetbased fuzzy support vector machine (FQR-FSVM). This new model will make it possible to achieve discrimination of output while characterizing membership for each class in terms of multi-dimensional qualitative inputs (attributes). Moreover, the new model will largely shorten the computing time especially for large database by using linear preset of fuzzy qualitative regression classifier to limit the non-linear classification region.

    本文言語English
    ホスト出版物のタイトルProceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012
    ページ393-399
    ページ数7
    DOI
    出版ステータスPublished - 2012
    イベント2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012 - Kitakyushu
    継続期間: 2012 8 252012 8 28

    Other

    Other2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012
    CityKitakyushu
    Period12/8/2512/8/28

    ASJC Scopus subject areas

    • 生化学、遺伝学、分子生物学(全般)

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