摘要
文章概述了概率与数理统计、模糊数学、粗糙集、非经典逻辑及灰色系统等几种处理不确定性信息理论的特点,对它们彼此之间的相似和不同之处进行了比较和分析,并探讨了相互之间进行优势互补以更有效地对不确定性信息进行处理的可能性。
This paper summarizes the characters of some theories which deal with uncertain information including probability and mathematical statistics,fuzzy mathematics,rough sets,nonclassical logic and grey systems,as well as compares and analyses the similarities and differences among them.Moreover,This paper,discusses the feasibility of combining respective advantages of dealing with uncertain information with others' so as to process uncertain information more effectively.
出处
《计算机工程与应用》
CSCD
北大核心
2005年第12期51-55,共5页
Computer Engineering and Applications
基金
福建省教育委员会科技项目(编号:JA022239)
厦门市重点科技项目(编号:3502Z20031056)资助课题
关键词
概率与数理统计
模糊数学
粗糙集
非经典逻辑
灰色系统
probability and mathematical statistics,fuzzy mathematics,rough sets,nonclassical logic,grey systems
