Fuzzy Integral for Classification and Feature Extraction
نویسنده
چکیده
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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