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Please use this identifier to cite or link to this item: http://hdl.handle.net/10198/2777

Título: Decomposition of a greenhouse TS-Fuzzy model by clustering process
Autor: Salgado, Paulo
Igrejas, Getúlio
Palavras-chave: Fuzzy clustering
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Issue Date: 2007
Citação: Salgado, Paulo; Igrejas, Getúlio (2007) - Decomposition of a greenhouse TS-Fuzzy model by clustering process. In 4.ª Conferência de Engenharia "Engenharia' 2007 - Inovação e Desenvolvimento. Covilhã
Resumo: This paper presents a fuzzy c-means clustering method for decompose a T-S fuzzy system. This technique is used to organize the fuzzy greenhouse climate model into a new structure more interpretable, as in the case of the physical model. This new methodology was tested to split the inside greenhouse air temperature and humidity flat fuzzy models into fuzzy sub-models. These fuzzy sub-models are compared with its counterpart’s physical sub-models. This algorithm is applied to the T-S fuzzy rules. The results are several clusters of rules where each cluster is a new fuzzy sub-system. This is a generalized Probabilistic Fuzzy C-Means (PFCM) algorithm applied to TS-Fuzzy System clustering. This allows automatic organization of one fuzzy system into a multimodel Hierarchical Structure.
URI: http://hdl.handle.net/10198/2777
Appears in Collections:DE - Artigos em Proceedings Não Indexados ao ISI

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