计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (20): 152-154.DOI: 10.3778/j.issn.1002-8331.2008.20.046

• 数据库、信号与信息处理 • 上一篇    下一篇

基于模糊集合的证据理论信息融合方法

孔金生,李文艺   

  1. 郑州大学 电气工程学院,郑州 450001
  • 收稿日期:2007-09-28 修回日期:2007-12-03 出版日期:2008-07-11 发布日期:2008-07-11
  • 通讯作者: 孔金生

Evidence theory information fusion method based on fuzzy set

KONG Jin-sheng,LI Wen-yi   

  1. School of Electrical Engineering,Zhengzhou University,Zhengzhou 450001,China
  • Received:2007-09-28 Revised:2007-12-03 Online:2008-07-11 Published:2008-07-11
  • Contact: KONG Jin-sheng

摘要: 提出了一种利用模糊集合确定概率分配函数(mass函数)进行信息融合的方法。该方法首先构造出融合对象的模糊集合,然后以隶属度函数为基础计算出概率分配函数,再利用D-S规则对多传感器信息进行融合。汽车轮胎压力监测的实验表明该方法获得的mass函数在信息融合中的有效性。

关键词: 信息融合, mass函数, 证据理论, 模糊集合

Abstract: A new method of information fusion using the fuzzy set to determine probability distribution function is given.First a fuzzy set of the fusion target is constructed,and then the probability distribution function is calculated based on the membership function;last,the result is gotten by using D-S rule for multi-sensors information.The mass function is effective in information fusion through the experiment of the tire pressure monitoring.

Key words: information fusion, mass function, evidence theory, fuzzy set