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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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。

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According to the value of weighted mean roughness the priority of different characteristic information can be distinguished, so the proposed method possesses strong tolerant ability.

按加权平均粗糙集的大小区分层内各特征信息的优先级，具有很强的容错能力。

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