Then the decision tree of electric power grid diagnosis is built by using weighted mean roughness as separating attributes standard to realize electric power grid fault diagnosis.
然后采用加权平均粗糙度的概念，作为选择分离属性的标准，构造电网故障决策树，从而实现对电网的故障诊断。
In the process of constructing a decision tree, weighted mean roughness, a new concept based on rough set theory which is regarded as the criteria for choosing attributes is applied.
介绍了决策树算法的含义和构筑方法，对基于加权平均粗糙度构造决策树算法进行改进，通过实例说明了改进算法的优势。
We presented weighted mean roughness, a new concept based on rough sets theory which is regarded as the criteria for choosing attributes.
基于粗糙集的理论提出了加权平均粗糙度的概念，将其作为选择分离属性的标准。
We presented weighted mean roughness, a new concept based on rough sets theory which is regarded as the criteria for choosing attributes.
基于粗糙集的理论提出了加权平均粗糙度的概念，将其作为选择分离属性的标准。
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