In rough set theory, the concept of roughness of knowledge is defined by equivalence relation and set inclusion.
在该理论中，知识粗糙性是通过等价关系和集包含定义的。
The theory of rough-set points out that knowledge has granularity and defines the concept of roughness of knowledge.
在粗糙集理论中，提出知识是有粒度的并定义了知识粗糙度的概念。
We propose a new approach to multivariate decision tree construction based on knowledge roughness in rough set instead of information entropy as usual.
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。
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