In view of the classical rough sets model can only dispose the complete information system, a variable precision rough sets model is introduced to dispose the incomplete information system.
针对经典粗糙集模型只能处理完备信息系统，将变精度粗糙集模型引入到不完备信息系统中。
As the extension of rough set, variable precision rough set reflects the difference of degrees of overlap of kinds and sets.
而可变精度粗糙集作为对经典粗糙集理论的扩展，体现了等价类与集合的重叠度程度上的差别。
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.
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。
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