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Advisor(s)
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 model into a new and more comprehensive structure.
Description
Keywords
Fuzzy clustering Hierarchization
Citation
Salgado, Paulo; Cunha, Manuela; Pavão, João; Igrejas, Getúlio (2010). Hierarchization process by possibilistic fuzzy clustering of fuzzy rules. In RECPAD. Vila Real. ISBN 978-972-669-990-3.