Fuzzy Integral for Classification and Feature Extraction

We describe in this paper the use of fuzzy integral in problems of supervised classification. The approach, which can be viewed as a information fusion model, is embedded into the framework of fuzzy pattern matching. Results on various data set are given, with comparisons. Lastly, the problem of feature extraction is addressed.

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