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.
出处
《计算机工程》
CAS
CSCD
2012年第6期78-79,82,共3页
Computer Engineering
基金
2010年度教育部高职高专计算机类规划课题基金资助项目(jzw590111052)
关键词
覆盖粗糙集
近似精度
覆盖粒度
知识粒度
covering rough set
approximation precision
covering granularity
knowledge granularity
