Uncertainty Modeling and Analysis in Engineering and the Sciences
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A01=Bilal M. Ayyub
A01=George J. Klir
advanced uncertainty modeling techniques
Author_Bilal M. Ayyub
Author_George J. Klir
Bayesian inference
Category=PBTB
decision analysis methods
eq_isMigrated=1
eq_nobargain
evidence theory
interval analysis
possibility theory
uncertainty quantification
Product details
- ISBN 9781584886440
- Weight: 680g
- Dimensions: 156 x 234mm
- Publication Date: 25 May 2006
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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Engineers and scientists often need to solve complex problems with incomplete information resources, necessitating a proper treatment of uncertainty and a reliance on expert opinions. Uncertainty Modeling and Analysis in Engineering and the Sciences prepares current and future analysts and practitioners to understand the fundamentals of knowledge and ignorance, how to model and analyze uncertainty, and how to select appropriate analytical tools for particular problems.
This volume covers primary components of ignorance and their impact on practice and decision making. It provides an overview of the current state of uncertainty modeling and analysis, and reviews emerging theories while emphasizing practical applications in science and engineering.
The book introduces fundamental concepts of classical, fuzzy, and rough sets, probability, Bayesian methods, interval analysis, fuzzy arithmetic, interval probabilities, evidence theory, open-world models, sequences, and possibility theory. The authors present these methods to meet the needs of practitioners in many fields, emphasizing the practical use, limitations, advantages, and disadvantages of the methods.
