When Is Propagation of Interval and Fuzzy Uncertainty Feasible?

Authors

Vladik Kreinovich, The University of Texas at El PasoFollow
Andrzej Pownuk, The University of Texas at El PasoFollow
Olga Kosheleva, The University of Texas at El PasoFollow
Aleksandra Belina, Silesian University of Technology

Publication Date

6-2018

Comments

Technical Report: UTEP-CS-18-35a

Published in Proceedings of the 8th International Workshop on Reliable Engineering Computing REC'2018, Liverpool, UK, July 16-18, 2018.

Abstract

In many engineering problems, to estimate the desired quantity, we process measurement results and expert estimates. Uncertainty in inputs leads to the uncertainty in the result of data processing. In this paper, we show how the existing feasible methods for propagating the corresponding interval and fuzzy uncertainty can be extended to new cases of potential practical importance.