论文部分内容阅读
首先,通过分析现有多粒度粗糙集模型的不足,提出一种基于粒度加权的多粒度粗糙集模型;然后,通过比较得出加权多粒度粗糙集与乐观多粒度、悲观多粒度和可变多粒度粗糙集之间的关系,讨论加权多粒度粗糙集的性质,并分析这几种多粒度粗糙集度量之间的关系;最后,通过实例分析验证了所提出加权多粒度粗糙集模型的有效性.
Firstly, a multi-granularity rough set model based on granularity weighting is proposed by analyzing the deficiencies of the existing multi-granularity rough set models. Then, we compare the weighted multi-granularity rough set with the optimistic multi-granularity, pessimistic multi-granularity and variable multi Granularity rough set, discuss the properties of weighted multi-granularity rough sets, and analyze the relationship among these multi-granularity rough set measures.Finally, the validity of the proposed weighted multi-granularity rough set model is verified by an example analysis .