摘要
云模型是用语言值表示的定性概念与其定量表示之间的不确定性转换模型。逆向云发生器可以实现定量数值到定性语言值的转换。本文分析了现在的逆向云算法的不足,提出了一种更简单,更精确的逆向云算法,并且对两种算法的误差进行了分析比较,最后给出了新算法的应用实例。
Cloud model is an effective tool in uncertain transforming between qualitative concepts and their quantitative expressions. Backward cloud generator can transform quantitative values into qualitative concepts. In this paper, a new algorithm of backward cloud is given, which is more simple and precise than the old one. Then we have error analysis and comparison between the two algorithms. At last an application is given, which demonstrates the effective and correctness of the new algorithm.
出处
《系统仿真学报》
CAS
CSCD
2004年第11期2417-2420,共4页
Journal of System Simulation
基金
国家自然科学基金资助(项目编号60375016)
国家自然科学基金重大项目资助(编号60496323)
关键词
云模型
定性定量转换
逆向云发生器
误差分析
cloud model
transformation between quantitative values and qualitative concepts
backward cloud generator
error analysis
