提出了一种基于变精度粗糙集理论的规则挖掘算法。
A rough rules mining approach based on variable precision rough set theory is proposed in this paper.
应用变精度粗糙集理论，提出了一种利用新的启发式函数构造决策树的方法。
A new heuristic function to build decision trees based on variable precision rough set is proposed.
另一方面提出了在一定错分率存在的条件下的模糊集合间的相对错分率，之后结合这两个理论给出了基于模糊邻域算子的模糊变精度粗糙集模型。
Then, the mistake classification rate between two fuzzy sets is defined. Later, fuzzy variable precision rough set model is proposed based on the two definitions.
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