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

S. Pannier, M. Waurick, W. Graf, M. Kaliske

Research output: Contribution to journalArticlepeer-review

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
Number of pages16
JournalMechanical Systems and Signal Processing
Volume37
Issue number1-2
Early online date27 Sep 2012
DOIs
Publication statusPublished - 30 Jun 2013

Keywords

  • fuzzy probability based fuzzy randomness
  • generalized uncertainty models
  • fuzzy randomness
  • fuzzy probability
  • imprecise data

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