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- W1870293938 abstract "Fuzzy set theory can provide a suitable framework for pattern classification, because of the inherent fuzziness involved in the definition of a class or a cluster. Fuzzy set theory is discussed based on a fuzzy pattern matching procedure, where partial matching values with respect to a given attribute are combined. This approach is closely related to a statistical approach to pattern classification. A new method based on a fuzzy integral and possibility theory is presented. A critical examination of the statistical approach and the supervised learning process is outlined. Experimental test results on real data are presented. >" @default.
- W1870293938 created "2016-06-24" @default.
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- W1870293938 date "2003-01-02" @default.
- W1870293938 modified "2023-09-25" @default.
- W1870293938 title "Multi-attribute classification using fuzzy integral" @default.
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- W1870293938 doi "https://doi.org/10.1109/fuzzy.1992.258678" @default.
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