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

Azizul Azhar Ramli, Junzo Watada, Witold Pedrycz

    研究成果: Conference contribution

    抄録

    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.

    本文言語English
    ホスト出版物のタイトルProceedings - 2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010
    ページ45-49
    ページ数5
    DOI
    出版ステータスPublished - 2010
    イベント2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010 - Jakarta
    継続期間: 2010 12 22010 12 3

    Other

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

    ASJC Scopus subject areas

    • コンピュータ ネットワークおよび通信
    • コンピュータ サイエンスの応用
    • 制御およびシステム工学

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