一种新的覆盖粗糙集度量方法

摘要

现有的近似精度和粗糙度不能反映不同覆盖之间的粗细关系.为解决该问题,提出一种新的覆盖粗糙集度量方法,将知识粒度引入到覆盖近似空间中,给出覆盖粒度概念,重新定义近似精度及粗糙度.实例验证结果表明,该方法能区分出2种不同覆盖粒度上的近似精度和粗糙度.%To solve the problem that the same accuracies of approximations and roughness are obtained in different covering hierarchical structures, this paper proposes a novel measurement method. The concept of knowledge granularity is introduced into a covering approximation space, the concept of covering granularity is proposed. Based on this, the covering granularity based accuracies of approximation and roughness are further presented. Example result indicates that this method can distinguish the same accuracies of approximation and roughness obtained in different covering hierarchical structures.