您当前所在位置: 首页 > 学者

王先甲

  • 10浏览

  • 0点赞

  • 0收藏

  • 0分享

  • 77下载

  • 0评论

  • 引用

期刊论文

Consistence and Grouping Consistence of Statistical Inference in the Dempster-Shafer Theory of Evidence

王先甲Xianjia Wang Xiaoxin Kuang Zhengfu Rao Jian-Bo Yang

,-0001,():

URL:

摘要/描述

The Dempster-Shafer theory of evidence is one of the most widely used frameworks for uncertainty inference. According to Shafer [11], there are two methods for assessing statistical evidence. The first method is to construct belief functions based on physically independent observations and then calculate the orthogonal sum by using Dempster's rule of combination. The second method is that the observations may be treated as a compound observation and a belief function can then be directly constructed by using product chance density. It is well known that the calculation of the Dempster's rule of combination is exponential in nature whilst using the product probability density function could simplify the calculation. It would therefore be of great interest to investigate consistence between the two methods, which is indeed the theme of this paper. Both sufficient and necessary conditions for such consistence will be developed in this paper. In addition, we will investigate the grouping consistence of observations that do not satisfy the consistence conditions, and also discuss the geometric meanings of the consistence and grouping consistence.

版权说明:以下全部内容由王先甲上传于   2009年03月24日 14时09分27秒,版权归本人所有。

我要评论

全部评论 0

本学者其他成果

    同领域成果