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A new fuzzy set merging technique using inclusion-based fuzzy clustering

Nefti-Meziani, S, Kaymak, U and Oussalah, M 2008, 'A new fuzzy set merging technique using inclusion-based fuzzy clustering' , Fuzzy Systems, IEEE Transactions on, 16 (1) , pp. 145-161.

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    Abstract

    This paper proposes a new method of merging parameterized fuzzy sets based on clustering in the parameters space, taking into account the degree of inclusion of each fuzzy set in the cluster prototypes. The merger method is applied to fuzzy rule base simplification by automatically replacing the fuzzy sets corresponding to a given cluster with that pertaining to cluster prototype. The feasibility and the performance of the proposed method are studied using an application in mobile robot navigation. The results indicate that the proposed merging and rule base simplification approach leads to good navigation performance in the application considered and to fuzzy models that are interpretable by experts. In this paper, we concentrate mainly on fuzzy systems with Gaussian membership functions, but the general approach can also be applied to other parameterized fuzzy sets.

    Item Type: Article
    Uncontrolled Keywords: Fuzzy set theory, mobile robots, path planning, pattern clustering, fuzzy rule base simplification, fuzzy set merging technique, inclusion-based fuzzy clustering, mobile robot navigation, fuzzy clustering, fuzzy modeling, fuzzy sets, inclusion, merging
    Themes: Subjects / Themes > Q Science > QA Mathematics > QA075 Electronic computers. Computer science
    Subjects outside of the University Themes
    Schools: Colleges and Schools > College of Science & Technology
    Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering
    Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > CASE Control & Systems Engineering Research Centre
    Journal or Publication Title: Fuzzy Systems, IEEE Transactions on
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Refereed: Yes
    ISSN: 10636706
    Related URLs:
    Depositing User: H Kenna
    Date Deposited: 09 Jan 2009 09:52
    Last Modified: 20 Aug 2013 16:51
    URI: http://usir.salford.ac.uk/id/eprint/980

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