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Data uncertainty and important measu...

Simon, Christophe.

Data uncertainty and important measures /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Data uncertainty and important measures // Christophe Simon, Philippe Weber, Mohamed Sallak.
作者:	Simon, Christophe.
其他作者:	Sallak, Mohamed.
出版者:	London, UK :ISTE, Ltd. ; : c2018.,
面頁冊數:	xiv, 226 p. :ill. ; : 25 cm.;
標題:	Uncertainty (Information theory) -
ISBN:	9781848219939 :

Data uncertainty and important measures /
Simon, Christophe.

Data uncertainty and important measures /Christophe Simon, Philippe Weber, Mohamed Sallak. - London, UK :ISTE, Ltd. ;c2018. - xiv, 226 p. :ill. ;25 cm. - Systems and industrial engineering series. - Systems dependability assessment set ;v. 3..

Includes bibliographical references (p. [211]-223) and index.

Why and Where Uncertainties -- Models and Language of Uncertainty -- Risk Graphs and Risk Matrices: Application of Fuzzy Sets and Belief Reasoning -- Dependability Assessment Considering Interval-valued Probabilities -- Evidential Networks -- Reliability Uncertainty and Importance Factors.

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.--

ISBN: 9781848219939 :NT3866

Nat. Bib. No.: GBB803004bnbSubjects--Topical Terms:

644010
Uncertainty (Information theory)

LC Class. No.: Q375 / .S56 2018

Dewey Class. No.: 003/.54

Data uncertainty and important measures /
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300 $a xiv, 226 p. : $b ill. ; $c 25 cm.
490 1 $a Systems and industrial engineering series
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504 $a Includes bibliographical references (p. [211]-223) and index.
505 0 $a Why and Where Uncertainties -- Models and Language of Uncertainty -- Risk Graphs and Risk Matrices: Application of Fuzzy Sets and Belief Reasoning -- Dependability Assessment Considering Interval-valued Probabilities -- Evidential Networks -- Reliability Uncertainty and Importance Factors.
520 $a 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.-- $c Provided by Publisher.
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