摘要
以集值信息系统为研究对象,提出了一种使用参数控制对象间相似程度的自反二元关系。接着,将集值信息系统拓展为模糊的形式,研究了其中的决策规则获取方法,进行了实例分析。
Based on the rough set theory, the set-valued information system was deeply investigated. In such information system, a new reflective relation based on the parameter＇s controlling of similarity between two objects was proposed. Furthermore, the set-valued information system was generalized to be a fuzzy one, and the direct method for rules＇ acquisition was investigated. Finally, an illustrative example was analyzed.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2008年第5期1199-1202,共4页
Journal of System Simulation
基金
国家自然科学基金(60472060,60572034)
国家自然科学基金重点项目(60632050)
江苏省自然科学基金(BK2006081)
南京理工大学科研发展基金(AB96125)
关键词
集值信息系统
粗糙集模型
模糊集值信息系统
知识获取
set-valued information system
rough set model
fuzzy set-valued information system
knowledge acquisition
