Real-time fuzzy switching regression analysis: A convex hull approach

Azizul Azhar Ramli, Junzo Watada, Witold Pedrycz

    研究成果: Conference contribution

    4 被引用数 (Scopus)

    抄録

    Regression models are well known and widely used as one of the important models in system modeling. In this paper, we extend the concept of regression models in order to handle hybrid data coming from various sources of data quite often exhibiting diverse levels of quality. The major objective of this study is to develop a convex hull method being regarded as a potential vehicle, which helps reduce the computing time, especially in real-time data analysis as well as an overall computational complexity. We propose an efficient real-time fuzzy switching regression analysis based on the convex hull approach in which a Beneath-Beyond algorithm is employed to design a convex hull. The method addresses situations when we have to deal with heterogeneous data. In the proposed design setting, we emphasize a pivotal role of convex hull approach which is crucial when alleviating limitations of a linear programming manifesting in system modeling.

    本文言語English
    ホスト出版物のタイトルiiWAS2009 - The 11th International Conference on Information Integration and Web-based Applications and Services
    ページ284-291
    ページ数8
    DOI
    出版ステータスPublished - 2009
    イベント11th International Conference on Information Integration and Web-based Applications and Services, iiWAS2009 - Kuala Lumpur
    継続期間: 2009 12 142009 12 16

    Other

    Other11th International Conference on Information Integration and Web-based Applications and Services, iiWAS2009
    CityKuala Lumpur
    Period09/12/1409/12/16

    ASJC Scopus subject areas

    • コンピュータ ネットワークおよび通信
    • 情報システム

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