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Hierarchization process by possibilistic fuzzy clustering of fuzzy rules

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Abstract(s)

This paper presents a possibilistic fuzzy clustering algorithm that is applied to a multidimensional fuzzy set or fuzzy rules. This method can be used to decompose the fuzzy system into an hierarchical structure. The methodology presented leads to a fuzzy partition of the fuzzy rules, one for each cluster, which corresponds to a new set of fuzzy sub-systems. This technique is tested to organize the fuzzy medel into a new and more comprehensive structure.

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Fuzzy clustering

Citation

Salgado, Paulo; Cunha, Manuela; Pavão, João; Igrejas, Getúlio (2010). Hierarchization process by possibilistic fuzzy clustering of fuzzy rules. In Book of Abstracts RECPAD 2010. Vila Real, Portugal

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