Uncertainty quantification in dynamic system risk assessment : a new approach with randomness and fuzzy theory
Year of publication: |
1-15 October 2016
|
---|---|
Authors: | Abdo, Houssein ; Flaus, Jean-Marie |
Published in: |
International journal of production research. - London : Taylor & Francis, ISSN 0020-7543, ZDB-ID 160477-6. - Vol. 54.2016, 19/20 (1/15.10.), p. 5862-5885
|
Subject: | uncertainty | risk analysis | randomness | fuzzy logic | Monte Carlo method | propylene oxide polymerisation reactor | Fuzzy-Set-Theorie | Fuzzy sets | Risiko | Risk | Monte-Carlo-Simulation | Monte Carlo simulation | Entscheidung unter Unsicherheit | Decision under uncertainty | Wahrscheinlichkeitsrechnung | Probability theory |
-
Najafabadi, Mostafa Mardani, (2023)
-
Dempster-Shafer Theory in the analysis and design of uncertain engineering systems
Rao, Singiresu S., (2009)
-
Kabir, Sohag, (2023)
- More ...
-
A model based approach to assess the performance of production systems in degraded mode
Negrichi, Khalil, (2017)
-
A gas storage example as a benchmark for hybrid modelling: a comparative study
Champagnat, Ronan, (1998)
-
Modeling and analysis of hybrid dynamical systems : a beginner's guide
Flaus, Jean-Marie, (1998)
- More ...