提出了一种基于粗糙集中知识粗糙度的构建多变量决策树的算法。
We propose a new approach to multivariate decision tree construction based on knowledge roughness in rough set instead of information entropy as usual.
通过对设计知识与广义特征的封装，构建了广义特征信息模型，在该模型基础上用CSG树的方法表示了设计过程。
The extended-feature information model is constructed on the encapsulation of design knowledge and the extended-feature. Based on this model, CSG tree method is used to describe the design process.
我们认为，有些专家、学者对语文课程知识的构建还没有超越“知识树”式的建构思维。
We hold that some scholars and experts have not surmounted the pattern of knowledge Tree when looking at the construction of knowledge on Chinese language learning.
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