Real time model of fuzzy random regression based on a convex hull approach

Azizul Azhar Ramli, Junzo Watada, Witold Pedrycz

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

    Abstract

    In this study, we present a new idea dealing with the analysis of fuzzy random variables (FRVs) being treated as samples of data. The proposed concept can be used to model various real-life situations where uncertainty is not only present in the form of randomness but also comes in the form of imprecision described in terms of fuzzy sets. We propose a hybrid approach, which combines a convex hull approach (called Beneath-Beyond algorithm) with a fuzzy random regression analysis. Falling under the umbrella of intelligent data analysis (IDA) tool, this approach is suitable for real-time implementation of data analysis. For a fuzzy random data set, we include simulation results and highlight two main advantages, namely a decrease of required analysis time and a reduction of computational complexity. This emphasizes that the proposed IDA approach becomes an efficient way for real-time data analysis.

    Original languageEnglish
    Title of host publicationProceedings - 2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010
    Pages45-49
    Number of pages5
    DOIs
    Publication statusPublished - 2010
    Event2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010 - Jakarta
    Duration: 2010 Dec 22010 Dec 3

    Other

    Other2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010
    CityJakarta
    Period10/12/210/12/3

    Fingerprint

    Fuzzy sets
    Random variables
    Regression analysis
    Computational complexity
    Uncertainty

    Keywords

    • Convex hull
    • Fuzzy random regression
    • Fuzzy random variables
    • Intelligent data analysis

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Computer Science Applications
    • Control and Systems Engineering

    Cite this

    Ramli, A. A., Watada, J., & Pedrycz, W. (2010). Real time model of fuzzy random regression based on a convex hull approach. In Proceedings - 2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010 (pp. 45-49). [5675848] https://doi.org/10.1109/ACT.2010.19

    Real time model of fuzzy random regression based on a convex hull approach. / Ramli, Azizul Azhar; Watada, Junzo; Pedrycz, Witold.

    Proceedings - 2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010. 2010. p. 45-49 5675848.

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

    Ramli, AA, Watada, J & Pedrycz, W 2010, Real time model of fuzzy random regression based on a convex hull approach. in Proceedings - 2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010., 5675848, pp. 45-49, 2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010, Jakarta, 10/12/2. https://doi.org/10.1109/ACT.2010.19
    Ramli AA, Watada J, Pedrycz W. Real time model of fuzzy random regression based on a convex hull approach. In Proceedings - 2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010. 2010. p. 45-49. 5675848 https://doi.org/10.1109/ACT.2010.19
    Ramli, Azizul Azhar ; Watada, Junzo ; Pedrycz, Witold. / Real time model of fuzzy random regression based on a convex hull approach. Proceedings - 2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010. 2010. pp. 45-49
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