摘要
粗糙集理论和模糊集理论都是研究信息系统中知识的不完整、不确定性问题,把集对分析中的联系度概念应用于粗糙集中,说明了粗糙集联系度与下近似集和上近似集的值化的关系,将粗糙集联系度理论与模糊集理论相结合,提出了一种基于模糊集和粗糙集联系度的综合评价方法,实例验证了该方法对一大类复杂信息系统的知识发现具有一定的应用价值。
Rough sets theory and fuzzy sets theory can be used to research imprecise and incomplete problems in information systems.This paper applies degree of connection in sets pair analyzed to rough sets theory.The relationship between rough-degree of connection and cardinal of rough lower/upper approximation is demonstrated.To combine fuzzy sets with rough sets pair analysis,a new synthetic evaluation approach is proposed.The result shows this method is quite valuable in knowledge discovery for large category complex information systems.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第32期214-217,共4页
Computer Engineering and Applications
基金
国家自然科学基金(No.70271002)
湖南省教育厅科学研究项目(No.06C246)。~~
关键词
粗糙集
集对分析
模糊集
知识获取
rough sets
sets pair analysis
fuzzy sets
knowledge acquisition
