EVALUATING UNCERTAINTIES OF LASERSCANNER MEASUREMENTS BY USING A JOINT MONTE CARLO AND FUZZY APPROACH

被引：0
|
作者：
Alkhatib, Hamza [1 ]
Neumann, Ingo [2 ]
Kutterer, Hansjoerg [1 ]
机构：
[1] Leibniz Univ Hannover, Geodet Inst, Hannover, Germany
[2] Univ FAF Munich, Inst Geodesy, Geodet Lab, Munich, Germany
来源：
XIX IMEKO WORLD CONGRESS: FUNDAMENTAL AND APPLIED METROLOGY, PROCEEDINGS | 2009年
关键词：
GUM; Monte Carlo; Fuzzy technique;
D O I：
暂无
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
The evaluation of uncertainties according to the "Guide to the Expression of Uncertainty in Measurement" is presented in this study based on a novel Fuzzy-randomv-ariables approach. Whereas the classically proposed methods like Monte Carlo techniques treat all uncertainties as having a random nature, the fuzzy technique distinguishes between aleatoric and epistemic uncertainties. The aleatoric components are modeled in a Monte Carlo framework, and the epistemic uncertainties were treated with fuzzy techniques. The applied procedure is outlined showing both the theory and a numerical example for the evaluation of uncertainties in an application for terrestrial laserscanning.
引用
收藏
页码：2394 / 2399
页数：6
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