Uncertainty Modeling and Analysis in Engineering and the Sciences

Informationen zum Autor Bilal M. Ayyub, George J. Klir Klappentext Based on the authors' first-hand experiences, Uncertainty Modeling and Analysis in Engineering and the Sciences serves as a single-source reference and text on the theory, background, and history of the subject. This book provides guidance on the use of uncertainty modeling and analysis methods by presenting the historical, theoretical, and philosophical bases behind suggested methods. It offers critical reviews, advantages, disadvantages, and limitations of the methods discussed. Presenting broad and comprehensive coverage of the subject, the text also includes numerous case studies, examples, problems, figures, and tables as well as an extensive reference list. Zusammenfassung Offers guidance on the use of uncertainty modeling and analysis methods. This book presents the historical, theoretical, and philosophical bases behind suggested methods. It offers critical reviews, advantages, disadvantages, and limitations of the methods discussed. Inhaltsverzeichnis Systems, knowledge, and ignorance. Encoding data and expressing information. Uncertainty and information synthesis. Uncertainty measures. Uncertainty-based principles and knowledge construction. Uncertainty propagation for systems. Expert opinions and elicitation methods. Visualization of uncertainty. Historical Perspectives on Knowledge.

Product details

• Authors: Bilal M Ayyub, Bilal M. Klir Ayyub, Ayyub Bilal M., George J Klir, George J. Klir
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 25.05.2006
• EAN: 9781584886440
• ISBN: 978-1-58488-644-0
• No. of pages: 400
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Social sciences, law, business > Business > Miscellaneous; Product Design, MATHEMATICS / General, MATHEMATICS / Probability & Statistics / General, BUSINESS & ECONOMICS / Operations Research, TECHNOLOGY & ENGINEERING / Operations Research, Probability & statistics, Engineering: general, Probability and statistics