Evidence theory information fusion method based on fuzzy set

被引：0

作者：

Han, Feng ^{[1
]}

Yang, Wan-Hai ^{[1
]}

Yuan, Xiao-Guang ^{[1
]}

机构：

[1] School of Electronic Engineering, Xidian University, Xi'an 710071, China

来源：

Kongzhi yu Juece/Control and Decision | 2010年 / 25卷 / 03期

关键词：

Membership functions - Sensor data fusion - Reliability theory - Fuzzy set theory - Fuzzy sets;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Focused on the problem that it is difficult to set up the basic probability assignment function (mass function) in the evidence theory and determine the reliability of each sensor in the process of the multi-sensors data fusion, an information fusion method based on fuzzy set and evidence theory is proposed. The mutual supportability of multiple sensors is obtained from the correlation function. Then by using the membership function, the reliability of information provide by each sensor is gained. The supposed fusion result can be produced on the basis of evidence theory. The method is simple computationally and can objectively reflect the reliability of each sensor and interrelationship between these sensors. Finally, the simulation result shows that the fusion results have higher precision and reliability compared with other methods.

引用

页码：449 / 452