Real-time fuzzy switching regression analysis

A convex hull approach

Azizul Azhar Ramli, Junzo Watada, Witold Pedrycz

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationiiWAS2009 - The 11th International Conference on Information Integration and Web-based Applications and Services
    Pages284-291
    Number of pages8
    DOIs
    Publication statusPublished - 2009
    Event11th International Conference on Information Integration and Web-based Applications and Services, iiWAS2009 - Kuala Lumpur
    Duration: 2009 Dec 142009 Dec 16

    Other

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

    Fingerprint

    Regression analysis
    Linear programming
    Computational complexity

    Keywords

    • convex hull
    • heterogeneous data
    • switching regression analysis

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Information Systems

    Cite this

    Ramli, A. A., Watada, J., & Pedrycz, W. (2009). Real-time fuzzy switching regression analysis: A convex hull approach. In iiWAS2009 - The 11th International Conference on Information Integration and Web-based Applications and Services (pp. 284-291) https://doi.org/10.1145/1806338.1806391

    Real-time fuzzy switching regression analysis : A convex hull approach. / Ramli, Azizul Azhar; Watada, Junzo; Pedrycz, Witold.

    iiWAS2009 - The 11th International Conference on Information Integration and Web-based Applications and Services. 2009. p. 284-291.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Ramli, AA, Watada, J & Pedrycz, W 2009, Real-time fuzzy switching regression analysis: A convex hull approach. in iiWAS2009 - The 11th International Conference on Information Integration and Web-based Applications and Services. pp. 284-291, 11th International Conference on Information Integration and Web-based Applications and Services, iiWAS2009, Kuala Lumpur, 09/12/14. https://doi.org/10.1145/1806338.1806391
    Ramli AA, Watada J, Pedrycz W. Real-time fuzzy switching regression analysis: A convex hull approach. In iiWAS2009 - The 11th International Conference on Information Integration and Web-based Applications and Services. 2009. p. 284-291 https://doi.org/10.1145/1806338.1806391
    Ramli, Azizul Azhar ; Watada, Junzo ; Pedrycz, Witold. / Real-time fuzzy switching regression analysis : A convex hull approach. iiWAS2009 - The 11th International Conference on Information Integration and Web-based Applications and Services. 2009. pp. 284-291
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