This paper introduced a knowledge acquisition method based on scenario model and repository grid technology.

介绍了一种基于场景模型和网格技术的知识获取方法。

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Then the membership matrix obtained by clustering algorithm was used to reduce attribute set. Finally, based on entropy, a knowledge acquisition method of fuzzy Rough Set (RS) was put forward.

进而将聚类得到的属性隶属矩阵用于属性约简，并提出一种基于信息熵的模糊粗糙集知识获取的方法。

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Knowledge acquisition method of tribological system condition identification using Bayesian network was proposed.

研究了基于贝叶斯网络的摩擦学系统状态辨识知识的获取方法。

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