Salgado, PauloIgrejas, Getúlio2010-11-092010-11-092007Salgado, Paulo; Igrejas, Getúlio (2007). Probabilistic clustering algorithms for fuzzy rules decomposition. In Workshop on advanced fuzzy and neural control. Valencienneshttp://hdl.handle.net/10198/2756The fuzzy c-means (FCM) clustering algorithm is the best known and used method in fuzzy clustering and is generally applied to well defined set of data. In this paper a generalized Probabilistic fuzzy c-means (FCM) algorithm is proposed and applied to clustering fuzzy sets. This technique leads to a fuzzy partition of the fuzzy rules, one for each cluster, which corresponds to a new set of fuzzy sub-systems. When applied to the clustering of a flat fuzzy system results a set of decomposed sub-systems that will be conveniently linked into a Parallel Collaborative Structures.engClustering algorithmsFuzzy c-meanFuzzy systemsRelevanceconference object