Consistent Inverse Probability and Possibility Propagation

DOI

10.2991/eusflat-19.2019.1How to use a DOI?

Keywords

Inverse Problems Probability-Possibility Consistency Imprecise Probabilities Uncertainty Propagation Possibility Theory

Abstract

Given a probability distribution of an output quantity of a model, it is generally not possible to infer a unique probability distribution of the uncertain input quantity. In this contribution, it is shown that by reverting back to the coarser framework of possibility theory this problem possesses a conceptually straightforward solution with some powerful properties in the view of imprecise probability descriptions.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dominik Hose
AU  - Michael Hanss
PY  - 2019/08
DA  - 2019/08
TI  - Consistent Inverse Probability and Possibility Propagation
BT  - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
PB  - Atlantis Press
SP  - 1
EP  - 8
SN  - 2589-6644
UR  - https://doi.org/10.2991/eusflat-19.2019.1
DO  - 10.2991/eusflat-19.2019.1
ID  - Hose2019/08
ER  -