Fuzzy robust regression model by possibility maximization

Yoshiyuki Yabuuchi*, Junzo Watada

*この研究の対応する著者

    研究成果: Article査読

    20 被引用数 (Scopus)

    抄録

    Since management and economic systems are complex, it is hard to handle data obtained in management and economic areas. Hitherto, in the fields, much research has focused on the structure and analysis of such data. H. Tanaka et al. proposed a fuzzy regression model to illustrate the potential possibilities inherent in the target system. J. C. Bezdek proposed a switching regression model based on a fuzzy clustering model to separate mixed samples coming from plural latent systems and apply regression models to the groups of samples coming from each system. It is hard to illustrate a rough and moderate possibility of the target system. In this paper, to deal with the possibility of a social system, we propose a new fuzzy robust regression model.

    本文言語English
    ページ(範囲)479-484
    ページ数6
    ジャーナルJournal of Advanced Computational Intelligence and Intelligent Informatics
    15
    4
    出版ステータスPublished - 2011 6月

    ASJC Scopus subject areas

    • 人工知能
    • コンピュータ ビジョンおよびパターン認識
    • 人間とコンピュータの相互作用

    フィンガープリント

    「Fuzzy robust regression model by possibility maximization」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

    引用スタイル