Possibilistic calculus as a conservative counterpart to probabilistic calculus

dc.contributor.author	Hose, Dominik
dc.contributor.author	Hanss, Michael
dc.date.accessioned	2019-07-04T14:41:02Z
dc.date.available	2019-07-04T14:41:02Z
dc.date.issued	2019	de
dc.description.abstract	In this contribution, we revisit Zadeh's Extension Principle in the context of imprecise probabilities and present two simple modifications to obtain meaningful results when using possibilistic calculus to propagate credal sets of probability distributions through models. It is demonstrated how these results facilitate the possibilistic solution of two benchmark problems in uncertainty quantification.	en
dc.identifier.uri	http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-104468	de
dc.identifier.uri	http://elib.uni-stuttgart.de/handle/11682/10446
dc.identifier.uri	http://dx.doi.org/10.18419/opus-10429
dc.language.iso	en	de
dc.rights	info:eu-repo/semantics/openAccess	de
dc.subject.ddc	510	de
dc.title	Possibilistic calculus as a conservative counterpart to probabilistic calculus	en
dc.type	preprint	de
ubs.bemerkung.extern	Preprint submitted to Mechanical Systems and Signal Processing on May 24, 2019.	de
ubs.fakultaet	Konstruktions-, Produktions- und Fahrzeugtechnik	de
ubs.institut	Institut für Technische und Numerische Mechanik	de
ubs.publikation.noppn	yes	de
ubs.publikation.seiten	12	de
ubs.publikation.typ	Preprint	de

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