中文摘要：

综合灰色系统理论和自助法的理论知识,提出一种实现乏信息测量误差预报方法。首先对动态测量数据中各误差源影响进行标定,计算各误差源对测量结果的误差传递系数,并对各误差源数据序列进行自助法抽样,通过灰自助融合建模获得误差源标定预测值;然后按照误差合成的方法实现动态测量误差的灰自助预报;具体实例表明,该方法得到的预报结果与实验测量结果非常吻合,验证了灰自助预报方法的有效性。

英文摘要：

Different from traditional methods,a novel poor information measurement error prediction method based on grey system theory and bootstrap theory was presented.At first,all calibrated measurement error sources were calibrated,and all measurement error transfer coefficients were calculated,and the calibration data of all error sources were sampled based on bootstrap theory,and predictions of calibration data of all error sources were gained by a grey bootstrap fusion model.Then the error prediction values for dynamic measurement of poor information were got in terms of error combination principle.At last,in an example of a general dynamic measurement,the predicting measurement errors were acquired by this novel proposed method and the actual measurement errors were shown to be in a good agreement with each other,and the validity of the proposed method was also represented.