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

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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https://hal-irsn.archives-ouvertes.fr/irsn-00196663
Contributor : Sébastien Destercke <>
Submitted on : Thursday, December 13, 2007 - 11:32:19 AM
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  • HAL Id : irsn-00196663, version 1
  • ARXIV : 0712.2141

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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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