本文提出的不确定性经验分析方法以不确定性区域内一组有限的容许解为基础。将这些解用于Q因子分析后给出了多解性的参数及其分布范围。合成非线性实例表明,本方法优于奇异值分解分析法,因为它给出了多解区域的平均趋向,且其限制性假设条 The method of empirical uncertainty analysis presented in this paper is based on a finite set of allowances in the region of uncertainty. The use of these solutions in Q-factor analysis gives the parameters of multiple solutions and their distribution ranges. The synthetic non-linear example shows that this method is superior to singular value decomposition analysis because it gives the average trend of multiple solution regions and its restrictive hypothesis