计量学报2017，Vol.38Issue(2)：252-256,5.DOI:10.3969/j.issn.1000-1158.2017.02.28
基于证据理论的测量不确定度评定与分析
Evaluating and Analyzing Measurement Uncertainty Based on the Theory of Evidence
余学锋 1于杰 1王柯 1张开维1
作者信息
- 1. 中国人民解放军63870部队, 陕西 华阴 714200
- 折叠
摘要
Abstract
Deal with the limitations of GUM recommendations to express the measurement uncertainty based on a probabilistic and statistical theory, a more general approach which framed within the theory of the evidence was proposed.The method can represent the measurement result and its associated uncertainty in terms of random-fuzzy variables.An exhaustive mathematical framework and RFV membership functions was established according to the available information.The procedure for expressing the measurement uncertainty in terms of RFV was given by simple examples.The experimental results reported show that RFV are capable of both providing all the intervals of confidence and representing the different contributions to uncertainty.By compared with the approach of the GUM, the RFV method allows representing the dispersion of the values that could reasonably be attributed to the measured in a more suitable way than the probability theory, especially when no negligible nonrandom effects are present.关键词
计量学/证据理论/测量不确定度/随机模糊变量/评估Key words
metrology/theory of evidence/measurement uncertainty/random fuzzy variables/evaluation分类
通用工业技术引用本文复制引用
余学锋,于杰,王柯,张开维..基于证据理论的测量不确定度评定与分析[J].计量学报,2017,38(2):252-256,5.
