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一种基于条件熵的粗糙集连续属性离散化方法

A Method of Discretization of Continuous Attributesin Rough Sets Based on Conditional Entropy
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摘要 连续属性离散化是粗糙集应用研究的重点内容之一。基于条件熵可以反应属性依赖度的性质,将决策属性对条件属性的条件熵作为离散化标准,提出了一种粗糙集连续属性离散化方法,并通过实例证明了该方法的正确性。 The discretization of continuous attributes is one of the important contents in application study of rough sets.Based on the property that conditional entropy can reflect the attribute dependencies,taking conditional entropy of decision attributes to conditional attributes as the standard of discretization,a method of discretization of continuous attributes in rough sets is offered.And the method is proved right through actual example.
出处 《科学技术与工程》 2010年第15期3730-3733,3748,共5页 Science Technology and Engineering
关键词 粗糙集 离散化 属性依赖度 条件熵 rough sets discretization attribute dependencies conditional entropy
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参考文献7

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二级参考文献10

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