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

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-random- variables 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.