Evidence theory information fusion method based on fuzzy set

doi:10.3778/j.issn.1002-8331.2008.20.046

Computer Engineering and Applications ›› 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 • Previous Articles Next Articles

Evidence theory information fusion method based on fuzzy set

KONG Jin-sheng,LI Wen-yi

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

基于模糊集合的证据理论信息融合方法

孔金生,李文艺

郑州大学电气工程学院，郑州 450001

通讯作者: 孔金生

Abstract

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

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

KONG Jin-sheng,LI Wen-yi. Evidence theory information fusion method based on fuzzy set[J]. Computer Engineering and Applications, 2008, 44(20): 152-154.

孔金生,李文艺. 基于模糊集合的证据理论信息融合方法[J]. 计算机工程与应用, 2008, 44(20): 152-154.

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Evidence theory information fusion method based on fuzzy set

基于模糊集合的证据理论信息融合方法

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