摘要
提出了基于可变精度的Rough集(VPRS)的重要属性评价方法,有效地克服了基于Pawlak粗集理论的属性重要性判别方法的不足,也是传统属性重要性判别方法的扩展,为不精确数据的属性重要性判别提供了依据,因而具有一定的实用价值.
A method of evaluating the significant attributes based on VPRS h as been put forward, which effectively overcomes the drawbacks of the methods of e valuating the significant attributes based on rough sets, also improves, extends the conventional methods and provides reliable means for evaluating significant attributes to deal with imprecise data. Hence, our method has practical importa nce.
基金
安徽省教育厅自然科学基金资助项目(2001jl050)
安徽工程科技学院青年科研基金资助项目(2001YQ015)
