采用RIPPER学习算法构造分类器及生成策略。

We also use RIPPER to produce strategy and construct classifiers.

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关联规则分类器(CBA)利用关联规则来构造分类算法，但其没有考虑分类问题中的不确定性。

Classification based on association (CBA) algorithm built a classifier based on the association rules, without considering the uncertainty in the classification problem.

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利用粗糙集理论，通过对训练集的学习，构造分类规则，对支持向量机反馈后的结果再次进行处理。

By using rough set theory, this paper structures classification rules and processes the support vector machine feedback results with learning the train set.

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