...扫描范围为1 μm区域的测量结果，利用 AFM图像分析系统对所有细胞(3个细胞组各300个) 的细胞膜表面的平均粗糙度(mean roughness)进行测 量。然后采用SPSS 11.5统计分析软件对数据进行统 计学处理。
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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。
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。
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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