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中文摘要：
在程度粗糙集和变精度粗糙集的基础上,通过引入误差参数,在允许一定程度的错误分类存在的条件下,综合了两种粗糙集的特点,提出了一种新的变精度粗糙集模型,使两种模型在形式上统一于新的变精度粗糙集模型。新变精度粗糙集模型是原有两种模型的推广,给出并讨论了新的变精度粗糙集模型上、下近似的性质。最后,实例结果表明,新的变精度粗糙集模型对处理模糊知识和不确定性知识是有效的、可行的。
英文摘要：
By bringing in error parameters, a new. variable precision rough sets model based on the degree rough sets and the classic variable precision rough sets is presented, which allows some extent of error classifies and integrates the characters of the two previous rough sets to make them unified in the form. And then the relationship between the new variable precision rough sets model and the old one is put forward and some properties of the upper approximation and the lower approximation of the new one as well are discussed. Finally, a real example is cited to demonstrate that the new variable precision rough sets model is more feasible and effective to deal with the fuzzy and uncertain information in information systems than the previous ones in practice.
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