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1)  Rule acquisition
规则获取
1.
Incremental rule acquisition method based on genetic algorithm and rough set theory;
基于遗传算法和粗糙集理论的增量式规则获取方法
2.
The purpose of this study is to present a method of driving rule acquisition using variable precision rough set theory.
该方法的特点是可以处理由于类重叠引起的样本信息不精确、不一致情况下的规则获取
3.
With the purpose of tackling problems such as uncertainty and mass rules of Knowledge in substation fuzzy expert systems,a effective method for knowledge denotation and rule acquisition is proposed by using colored FPN models.
针对变电站无功控制模糊专家系统知识表示不确定性及规则数量多的特点,文章以模糊、着色Petri网为基础,提出了一种基于模糊着色Petri网的知识表示与规则获取方法。
2)  rule generation
规则获取
3)  rules acquisition
规则获取
1.
The method is studied in two aspects: decision rules acquisition and class forecast.
规则获取和类别预报两方面研究支持向量机(SVM)方法在决策系统知识发现中的应用。
2.
This paper studies the knowledge rules acquisition methodology based on Rough set for fault diagnosis.
本文研究了将粗糙集应用于故障诊断,进行知识规则获取的方法。
4)  rules extracted
规则获取
5)  acquisition rules
规则获取
6)  rule knowledge acquisition
规则知识获取
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