Clustering algorithms for fuzzy rules decomposition
This paper presents the development, testing and evaluation of generalized Possibilistic fuzzy c-means (FCM) algorithms applied to fuzzy sets. Clustering is formulated as a constrained minimization problem, whose solution depends on the constraints imposed on the membership function of the cluster a...
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| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2010
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| Texto completo: | http://hdl.handle.net/10198/2757 |
| País: | Portugal |
| Oai: | oai:bibliotecadigital.ipb.pt:10198/2757 |