In this paper it is pointed out that a classification is always made taking into account all the available classes, i.e., by means of a classification system. The approach presented in this paper generalizes the classical definition of fuzzy partition as defined by Ruspini, which is now conceived as a quite often desirable objective that can be usually obtained only after a long learning process. In addition, our model allows the evaluation of the resulting classification, according to several indexes related to covering, relevance and overlapping.
Titolo: | Fuzzy classification systems | |
Autori interni: | ||
Data di pubblicazione: | 2004 | |
Rivista: | ||
Handle: | http://hdl.handle.net/20.500.11769/8490 | |
Appare nelle tipologie: | 1.1 Articolo in rivista |
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