采用MCM对GUM法测量不确定度评定的验证方法研究

目前不确定度评定的基本方法是GUM法，GUM法在一定的条件下是可以有效应用的，但在模型复杂的情况下，却不容易直接确定其是否满足所有的应用条件。由于蒙特卡罗法（MCM）的有效性范围大于GUM法的有效性范围，因此可利用合适的软件，应用MCM对GUM法测量不确定度的评定结果进行验证。建议此时分别应用GUM法和MCM法，并对结果进行比较。如果结果较满意，则表明GUM法可应用于此类场合；否则，应考虑使用MCM或其它适当的替代方法。通过质量计量的实例，介绍了采用MCM对GUM法进行验证的两种方法。

Research About Validating GUM Uncertainty Evaluation Using MCM

The basic method of uncertainty evaluation is GUM uncertainty framework(GUM) at present.On some conditions,GUM can be applied correctly.But when the model is complicated,all the applying condition can’t be ensured to meet.Compared to GUM,the validity range of MCM is larger,we can use MCM to validate GUM uncertainty evaluation with appropriate software.It’s suggested that the results can be compared which are obtained by GUM and MCM.If the results are satisfied,the GUM is applied correctly.Otherwise,MCM or other replacement must be considered.Concerning the example of mass calibration,the two methods are introduced to validate GUM uncertainty evaluation using MCM.