Uncertainty Modeling and Analysis in Engineering and the Sciences

Uncertainty Modeling and Analysis in Engineering and the Sciences
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By:"Bilal M. Ayyub","George J. Klir"
"Business & Economics"
Published on 2006-05-25 by CRC Press

\u003cb\u003eAnalysis\u003c/b\u003e and Management of Uncertainty: Theory and Applications, North-\u003cbr\u003e\nHolland-Elsevier Scientific Publishers, Amsterdam, 1992, B.M. Ayyub and ... \u003cbr\u003e\nUncertainty \u003cb\u003eAnalysis\u003c/b\u003e in \u003cb\u003eEngineering\u003c/b\u003e and the Sciences: Fuzzy Logic, Statistics, \u003cbr\u003e\nand Neural ...

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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.

This Book was ranked 36 by Google Books for keyword Analysis of Engineering & Scientific Data on civil engineering.

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