计算机科学与探索 ›› 2007, Vol. 1 ›› Issue (2): 234-240.

• 学术研究 • 上一篇    

一种新的逆向云算法

罗自强1+,张光卫2   

  1. 1.中国人民解放军理工大学 指挥自动化学院,南京 210007
    2.北京航空航天大学 软件开发环境国家重点实验室,北京 100083
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-08-20 发布日期:2007-08-20
  • 通讯作者: 罗自强

A new algorithm of backward normal one-variate cloud

LUO Ziqiang1+,ZHANG Guangwei2   

  1. 1.Institute of Command Automation, PLA University of Science and Technology, Nanjing 210007, China
    2.State Key Lab. of Software Development Environment, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-08-20 Published:2007-08-20
  • Contact: LUO Ziqiang

摘要: 云模型是一种可以有效地实现语言值表示的定性概念与其定量表示之间不确定性转换的模型。文章对正态云作了较深入地概率统计分析,指出了现有逆向云算法的不足,并提出了一种新的精确度更高的逆向云算法,最后通过模拟实验比较了新算法与原逆向云算法。

关键词: 云模型, 正向云, 逆向云, 最小二乘

Abstract: Cloud model is an effective tool in uncertain transforming between qualitative concepts and their quantitative expressions. Based on the theory of probability statistics, the authors make the more thorough research to the property of normal cloud, and construct a new algorithm of backward cloud which is more precise than the old one. Finally, a simulation is given to compare the new algorithm with the preceding twos.

Key words: cloud model, forward cloud, backward cloud, least squares