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NUMERICAL SENSITIVITY AND EFFICIENCY IN THE TREATMENT OF EPISTEMIC AND ALEATORY UNCERTAINTY

Résumé

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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Dates et versions

irsn-00196663 , version 1 (13-12-2007)

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Eric Chojnacki, Jean Baccou, Sébastien Destercke. NUMERICAL SENSITIVITY AND EFFICIENCY IN THE TREATMENT OF EPISTEMIC AND ALEATORY UNCERTAINTY. Fifth International Conference on Sensitivity Analysis of Model Output, 2007, Budapest, Hungary. ⟨irsn-00196663⟩
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