不对称边界的变精度粗糙集是Pawlak粗糙集、变精度粗糙集的推广,在l和u参数作用下,使粗糙集模型更加一般化,完善了近似空间的概念。基于不对称变精度粗糙集模型研究的基础上,提出了分类质量和依赖度的方法对不精确信息进行度量,对决策表进行为简。在l,u值的选取,提出了单参数控制的方法,通过l,u-质量图分析和计算验证了方法的有效性。
The variable precision rough set ( VPRS ) with asymmetric bounds is a development of the Pawlak rough set theory and variable precision rough set. Under l and u values, it made the rough set generalization and consummates approximation spatial concepts. In order to reduce a decision table, the method of quality of classification and degree of dependency were proposed to measure uncertain information based on variable precision rough set model with asymmetric bound. The single parameter control method was proposed to select l and u values. It is available by computing and analyzing with l,u-quality graph.