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

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。

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In the paper, we make a new inductive learning approach to knowledge representation system based on rough set theory.

本文基于粗集理论，针对知识表达系统提出了一种新的归纳学习方法。

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As an effect tool of pattern recognition and data processing, rough set theory (RST) and support vector machine (SVM) have become the focus of research in machine learning.

粗糙集理论(rst)与支持向量机(SVM)作为模式识别，数据处理的有效工具，已成为机器学习的研究热点。

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