Tuning the Fuzzy Classification Models with Various Learning Criteria: the Case of Credit Data Classification
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In this paper we study the efficiency of various learning criteria for the
proper tuning of a fuzzy classifier. Different cases of crisp and noisy class borders
are considered, and a specific credit-risk application is discussed.
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Shtovba S.Tuning the Fuzzy Classification Models with Various Learning Criteria: the Case of Credit Data Classification [Text] / S. Shtovba, O. Pankevich, G. Dounias // Proc. of Inter. Conference on Fuzzy Sets and Soft Computing in Economics and Finance, Saint-Petersburg (Russia), 17–20 June 2004. – Saint-Petersburg : Russian Fuzzy Systems Association, 2004. – Vol. 1. – P. 103–110.