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

• Abstract:

  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.
• Keywords:

  GUM, Monte Carlo, Fuzzy technique
• Download:

  IMEKO-WC-2009-TC21-389.pdf
• DOI:

  _unreg_wc-2009.389

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