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Advantages and disadvantages of various uncertainty assessment methods in material and technological predictive models
Authors:
- Jacek Pietraszek,
- Mariusz Krawczyk,
- Anna Kiełbus
Abstract
This article reviews known approaches to determining the uncertainty of predictive models: probabilistic analytical, probabilistic simulation and fuzzy. The main elements determining the specificity of a given approach are shown. The advantages and disadvantages are compared. Finally, the application guidelines are listed.
- Record ID
- CUTefd667d42f26485e8fa51460e30f34ae
- Publication categories
- ; ;
- Author
- Pages
- [1-8]
- Other elements of collation
- Bibliografia (na s.) - 5-8; Bibliografia (liczba pozycji) - 66; Oznaczenie streszczenia - Abstr.
- Substantive notes
- Ścieżka dostępu: dział 1000 - Manufacturing and Materials Processing
- Book
- Chinesta F., F. Chinesta Abgrall R., R. Abgrall Allix O. O. Allix [et al.] (eds.): 14th WCCM-ECCOMAS Congress 2020, January, 11-15, 2021 : virtual congress, 2021, Barcelona, International Centre for Numerical Methods in Engineering (CIMNE), 8 p.
- Keywords in English
- uncertainty assessment, fuzzy logic, probability, prediction, DOE, bootstrap
- DOI
- DOI:10.23967/wccm-eccomas.2020.053 Opening in a new tab
- URL
- https://www.scipedia.com/public/Pietraszek_et_al_2021a Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 5
- Additional fields
- Indeksowana w: Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTefd667d42f26485e8fa51460e30f34ae/
- URN
urn:pkr-prod:CUTefd667d42f26485e8fa51460e30f34ae
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.