Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
4
result(s) for
"Weber, Philippe, author"
Sort by:
Data uncertainty and important measures
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.-- Provided by Publisher.
Book
Benefits of Bayesian network models
The application of Bayesian Networks (BN) or Dynamic Bayesian Networks (DBN) in dependability and risk analysis is a recent development.A large number of scientific publications show the interest in the applications of BN in this field.Unfortunately, this modeling formalism is not fully accepted in the industry.
eBook
Data uncertainty and important measures
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.
eBook
