Uncertainty qualification in simulations
Küçük Resim Yok
Tarih
2009
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Maltepe Üniversitesi
Erişim Hakkı
CC0 1.0 Universal
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
Özet
Uncertainty in simulations is due to the stochastic nature of geometric and physical parameters, the indeterminate nature of initial/boundary conditions, and the inadequacy of physical models coupled with discretization errors. These uncertainties can be classi¯ed into two types: parametric (aleatory) and model form (epistemic). Whereas probability theory can deal with parametric uncertainty, some generalization of probability theory is required to deal with the model form of uncertainty. Among the generalizations of probability theory, evidence theory is relatively well-developed. The presentation will briefly discuss some techniques based on these theories to quantify uncertainty in the context of some representative problems.
Açıklama
Anahtar Kelimeler
Kaynak
International Conference on Mathematical Sciences
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Hussaini, M. Y. (2009). Uncertainty qualification in simulations. International Conference on Mathematical Sciences, Maltepe Üniversitesi. s. 26-27.
