Data Uncertainty and important Measures

Data Uncertainty and important Measures

Author
Christophe Simon, Philippe Weber, Mohamed Sallak
Publisher
ISTE/Wiley
Language
english
Year
2018
Page
231
ISBN
978-1-84821-993-9
File Type
pdf
File Size
3.2 MiB

The first part of the book defines the concept of uncertainties and the mathematical frameworks that will be used for uncertainty modeling. The application to system reliability assessment illustrates the concept. In the second part, evidential networks as a new tool to model uncertainty in reliability and risk analysis is proposed and described. Then it is applied on SIS performance assessment and in risk analysis of a heat sink. In the third part, Bayesian and evidential networks are used to deal with important measures evaluation in the context of uncertainties.

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