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Conference papers
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.
Cited literature [4 references]
https://hal-irsn.archives-ouvertes.fr/irsn-00196663
Contributor : Sébastien Destercke <>
Submitted on : Thursday, December 13, 2007 - 11:32:19 AM
Last modification on : Thursday, March 26, 2020 - 7:31:51 PM
Long-term archiving on: : Monday, April 12, 2010 - 7:20:23 AM
Contributor : Sébastien Destercke <>
Submitted on : Thursday, December 13, 2007 - 11:32:19 AM
Last modification on : Thursday, March 26, 2020 - 7:31:51 PM
Long-term archiving on: : Monday, April 12, 2010 - 7:20:23 AM
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SAMO2007_BaccouChojDes.pdf
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