在数据的融合过程中,将每个传感器的数据看成服从正态分布,利用置信水平得到隶属度,构造优越性比较矩阵,进而得到融合后的数据,将该方法运用于实证,并与平均权、概率权等方法进行比较,实证部分验证了该方法的实用性,再进行多次仿真,通过绝对误差的比较,验证了此方法的稳定性和有效性。
In process of data fusion,take data from each sensor as normal distribution,membership degree is obtained by confidence level,construct superiority comparision matrix and then get fused data,when the method is used in evidence,and compared with the average weight,the probability weight,etc. The empirical part verify practicality of this method,and then conduct a number of simulations,by comparing absolute error,verify stability and effectiveness of this method.