Document details

Hierarchization process by possibilistic fuzzy clustering of fuzzy rules

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


Description

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.

Document Type Conference poster
Language English
Contributor(s) Biblioteca Digital da UPB
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