A real-time analysis of granular information: Some initial thoughts on a convex hull-based fuzzy regression approach

Azizul Azhar Ramli, Witold Pedrycz, Junzo Watada, Nureize Arbaiy

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

    Abstract

    Regression models are well known and widely used as one of the important categories of models in system modeling. In this paper, we extend the concept of fuzzy regression in order to handle real-time implementation of data analysis of information granules. An ultimate objective of this study is to develop a hybrid of a genetically-guided clustering algorithm called genetic algorithm-Fuzzy C-Means (GA-FCM) and a convex hull-based fuzzy regression approach being regarded as a potential solution to the formation of information granules. It is anticipated that the setting of Granular Computing will help us reduce the computing time, especially in case of real-time data analysis, as well as an overall computational complexity. We propose an efficient real-time granular fuzzy regression analysis based on the convex hull approach in which a Beneath-Beyond algorithm is employed to design a convex hull. In the proposed design setting, we emphasize a pivotal role of the convex hull approach, which becomes crucial in alleviating limitations of linear programming manifesting in system modeling.

    Original languageEnglish
    Title of host publicationIEEE International Conference on Fuzzy Systems
    Pages2851-2858
    Number of pages8
    DOIs
    Publication statusPublished - 2011
    Event2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011 - Taipei
    Duration: 2011 Jun 272011 Jun 30

    Other

    Other2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011
    CityTaipei
    Period11/6/2711/6/30

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    Keywords

    • convex hull
    • Fuzzy C-Means
    • fuzzy regression
    • genetic algorithm
    • granular computing

    ASJC Scopus subject areas

    • Software
    • Artificial Intelligence
    • Applied Mathematics
    • Theoretical Computer Science

    Cite this

    Ramli, A. A., Pedrycz, W., Watada, J., & Arbaiy, N. (2011). A real-time analysis of granular information: Some initial thoughts on a convex hull-based fuzzy regression approach. In IEEE International Conference on Fuzzy Systems (pp. 2851-2858). [6007429] https://doi.org/10.1109/FUZZY.2011.6007429