Hierarchization process by possibilistic fuzzy clustering of fuzzy rules
Paulo Salgado, Manuela Cunha, João Pavão, Getúlio Igrejas · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2010
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.