Solutions to problems with imprecise data - An engineering perspective to generalized uncertainty models.

Stefan Pannier, Marcus Waurick, Wolfgang Graf, Michael Kaliske

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

The present paper is about data corrupted by both aleatoric and epistemic uncertainty. A unification of randomness, which represents aleatoric uncertainty, and fuzziness, which represents epistemic uncertainty, is dicussed in detail. As a result, the main uncertainty characteristics, i.e., variability, incompleteness and imprecision, can be described. With a focus on engineering problems the aim is to bridge the imprecision of data to the decision making process. Suitable fields of applications are highlighted; remarks on the numerical treatment are given.
Original languageEnglish
Pages (from-to)105-120
JournalMechanical Systems and Signal Processing
Volume37
Issue number1-2
DOIs
Publication statusPublished - May 2013

    Fingerprint

Cite this