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Authors: Hose, Dominik
Hanss, Michael
Title: Possibilistic calculus as a conservative counterpart to probabilistic calculus
Issue Date: 2019 Preprint 12
URI: Preprint submitted to Mechanical Systems and Signal Processing on May 24, 2019.
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.
Appears in Collections:07 Fakultät Konstruktions-, Produktions- und Fahrzeugtechnik

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