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arXiv · 0712.2141

Numerical Sensitivity and Efficiency in the Treatment of Epistemic and Aleatory Uncertainty

Eric Chojnacki·Jean Baccou·Sébastien Destercke
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Abstract

The treatment of both aleatory and epistemic uncertainty by recent methods often requires an high computational effort. In this abstract, we propose a numerical sampling method allowing to lighten the computational burden of treating the information by means of so-called fuzzy random variables.

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Eric Chojnacki, Jean Baccou, Sébastien Destercke. 2007-12-13. Numerical Sensitivity and Efficiency in the Treatment of Epistemic and Aleatory Uncertainty. https://arxiv.org/abs/0712.2141

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