单向S-粗集粗糙性的度量方法  

A New Measuring Method in One Direction Singular Rough Sets

作　　者：郭志林[1] 

机构地区：[1]商丘师范学院数学系,河南商丘476000

出　　处：《模糊系统与数学》2010年第1期131-136,共6页Fuzzy Systems and Mathematics

基　　金：河南省自然科学基金资助项目(092102210152);河南省政府政策研究招标课题(B373)

摘　　要：根据单向S-粗集内(外)边界的定义,引入了外边界熵的概念,将外边界熵与知识粒度结合进来,提出了一种新的单向S-粗集粗糙性的度量方法,讨论了这一度量的特性。通过分析和实例可以看出,这一新的度量方法可以用来更合理、更精确地度量单向S-粗集的不确定性。According to the inside （outside） boundary of one direction singular rough sets, the concepts of outside boundary entropy is defined. A new measuring method of one direction singular rough sets by knowledge granulation with outside boundary entropy is provided. A^ter discussing the properties of this measure, the analysis and real example shows that the new measuring method for measuring uncertainty in one direction singular rough sets is more reasonable and accurate than the classical methods.

关 键 词：单向S-粗集 边界熵 粗糙度 粗糙熵 粒度 

分 类 号：O159[理学—数学]