Author(s): Salgado, Paulo ; Cunha, Manuela ; Pavão, João ; Igrejas, Getúlio
Date: 2010
Persistent ID: http://hdl.handle.net/10198/4766
Origin: Biblioteca Digital da UPB
Subject(s): Fuzzy clustering; Hierarchization
Author(s): Salgado, Paulo ; Cunha, Manuela ; Pavão, João ; Igrejas, Getúlio
Date: 2010
Persistent ID: http://hdl.handle.net/10198/4766
Origin: Biblioteca Digital da UPB
Subject(s): Fuzzy clustering; Hierarchization
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.