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Naive Bayes classifier, a classification method based on Bayes theory, shows excellent properties in many fields. In practical application, limited to satisfying independence assumption, it is hard to gain better classification. In this paper an simple and intuitive extended Bayes model was constructed, which can get better classification effect. The extended Bayes model replaces primary attribute...
In this paper, an intelligent system that hybridized rough set approach (RS) and fuzzy support vector machine (FSVM) is applied to the study of customer classification in commercial banks. We can get reduced information table, which implies that the number of evaluation criteria such as financial ratios and qualitative variables is reduced with no information loss through rough set approach. And then,...
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