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Uncertainty Modeling and Analysis in Engineering and the Sciences

Autor Bilal M. Ayyub, George J. Klir
en Limba Engleză Hardback – 25 mai 2006
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.
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Specificații

ISBN-13: 9781584886440
ISBN-10: 1584886447
Pagini: 400
Ilustrații: 99 b/w images, 79 tables and 754 equations
Dimensiuni: 156 x 234 x 27 mm
Greutate: 0.68 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC

Public țintă

Professional

Cuprins

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.

Descriere

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.