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2008

A New Fuzzy Set Merging Technique Using Inclusion-Based Fuzzy Clustering

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A New Fuzzy Set Merging Technique Using Inclusion-Based Fuzzy Clustering
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.
Samia Nefti, Mourad Oussalah, Uzay Kaymak
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2008
Where TFS
Authors Samia Nefti, Mourad Oussalah, Uzay Kaymak
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