为拓展覆盖粗糙集模型,用多粒度方法研究了张燕兰等提出的广义覆盖决策信息系统模型,定义了多粒度意义下的覆盖上下近似,提出了多粒度属性约简算法。用实例对多粒度覆盖粗糙集属性约简方法和胡清华等提出的单粒度方法进行了比较。
To expand the model of covering rough set, the generalized covering decision information system proposed by Yanlan Zhang is studied using the multi-granularity method in this paper. The upper and lower approximate are defined in the sense of multi-granularity covering rough set, a multi-granularity attribute reduction algorithm is proposed. An example is given to compare the multi-granularity covering rough set attribute reduction method and the single-granularity method proposed by Qinghua Hu.