计算机工程与应用2012，Vol.48Issue(28)：147-149,177,4.DOI:10.3778/j.issn.1002-8331.2012.28.030
信息系统不确定性的粗糙边界熵度量方法
Rough boundary entropy for measuring uncertainty of information system
摘要
Abstract
Uncertainty measure is one of important contents of rough set theory study. In this paper, by analyzing the problem of methods for measuring the uncertainty of rough set, the rough boundary entropy is defined, based on boundary region. It is proved that the rough boundary entropy decreases monotonously as the knowledge granularity becomes finer. When the knowledge granularity of negative region is subdivided, the rough boundary entropy doesn' t change. Two properties of rough boundary entropy are given.关键词
粗糙集/信息系统/不确定性度量/粗糙边界熵/粗糙度/边界域Key words
rough set/ information system/ uncertainty measure/ rough boundary entropy/ roughness/ boundary region分类
信息技术与安全科学引用本文复制引用
单雪红,吴涛,高显彩..信息系统不确定性的粗糙边界熵度量方法[J].计算机工程与应用,2012,48(28):147-149,177,4.基金项目
安徽省高等学校省级自然科学研究项目(No.KJ2011B178) （No.KJ2011B178）
宿州学院智能信息处理实验室开放课题(No.2010YKF10) （No.2010YKF10）
宿州学院一般科研项目(No.2011yyb04) （No.2011yyb04）
高等学校省级优秀青年人才基金项目(No.2011SQRL154). （No.2011SQRL154）
