Adaptive weighted data fusion of muti-sensor based on fuzzy preference relations
Huijuan Hao, Maoli Wang, Mei Xu, Yongwei Tang · 2016
In order to improve the accuracy of data fusion for muti-sensor, a data fusion method based on fuzzy preference relation is proposed. The predefined knowledge of the sensors is unnecessary in the algorithm. The weight of the sensor can be adjusted in time according to the variation of the fuzzy preference relation of each sensor. The simulations show that fusion precision in this paper is superior to that of the mean value method. Also, the implement is easy. The dynamic adaptability of the method is better; and the ability of anti-interference is strong.