计算机科学 ›› 2016, Vol. 43 ›› Issue (Z6): 99-102.doi: 10.11896/j.issn.1002-137X.2016.6A.024

• 智能计算 • 上一篇    下一篇

一种具有相依关系的二维云推理方法及其在预测中的应用

刘德浩,王倩   

  1. 四川大学数学学院 成都610065,倍特期货 成都 611731
  • 出版日期:2018-12-01 发布日期:2018-12-01

Uncertainty Reasoning Based on Related Planar Cloud and Application in Prediction

LIU De-hao and WANG Qian   

  • Online:2018-12-01 Published:2018-12-01

摘要: 基于云模型的定性知识推理通过构造规则发生器实现不确定性推理。然而传统的二维云推理方法并未考虑条件云之间的相互影响,故此对传统方法进行改进,通过条件云云滴的乘积作用,构造相应的规则发生器,提出一种基于相依条件云的二维云推理方法。将该方法应用于美国GDP预测,预测结果表明该方法的效果明显优于传统方法,进而表明该方法可行且有效,并在一定程度上弥补了传统方法的不足。

关键词: 不确定性推理,相依条件云,规则发生器,知识预测

Abstract: Qualitative reasoning based on cloud model implements uncertainty reasoning by constructing cloud regulation generators.But the traditional two-dimensional cloud reasoning methods do not take notice of the interaction between the condition clouds,as an improvement on the traditional method ,a new approach to planar cloud reasoning method based on related condition clouds were suggested in this paper,which was followed by the focus on the product of cloud droplets and the construction of corresponded regulation generators.Then this new approach was applied in the prediction of GDP of America.The prediction results show that the new approach outperforms the traditional one,which indicates that the new method is feasible and effective,and to some extent remedies the shortcomings of traditional way.

Key words: Uncertainty reasoning,Related conditional cloud,Regulation generator,Prediction of information

[1] 邸凯昌,李德毅,李德仁.云理论及其在空间数据挖掘和知识发现中的应用[J].中国图像图形学报,1999,4(11):930-935
[2] 杨朝晖,李德毅.二维云模型及其在预测中的应用[J].计算机学报,1998,1(11):961-969
[3] 李德毅,杜鹢.不确定性人工智能[M].北京:国防工业出版社,2005:335-361
[4] 陈昊,李兵.云推理方法及其在预测中的应用[J].计算机科学,2011,8(7):209-224
[5] 蒋嵘,李德毅,陈晖.基于云模型的时间序列预测[J].解放军理工大学学报,2000,1(5):13-18
[6] 张仕斌,许春香.基于云模型的信任评估方法研究[J].计算机学报,2013,36(2):422-431
[7] 李德毅,史雪梅,孟海军.隶属云和隶属云发生器[J].计算机研究和发展,1995,2(6):15-20
[8] 李德毅,刘常昱.论正态云模型的普适性[J].中国工程科学,2004,6(8):28-33
[9] Chen Hao,Li Bing.Approch to uncertain reasoning based oncloud model[J].Journal of Chinese Computer Systems,2011,32(12):2449-2455

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!