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Uncertainty Modeling and Analysis in Engineering and the Sciences 1st Edition

4.5 out of 5 stars 11 customer reviews
ISBN-13: 978-1584886440
ISBN-10: 1584886447
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Product Details

  • Hardcover: 400 pages
  • Publisher: Chapman and Hall/CRC; 1 edition (May 25, 2006)
  • Language: English
  • ISBN-10: 1584886447
  • ISBN-13: 978-1584886440
  • Product Dimensions: 6.4 x 1.1 x 9.2 inches
  • Shipping Weight: 1.6 pounds (View shipping rates and policies)
  • Average Customer Review: 4.5 out of 5 stars  See all reviews (11 customer reviews)
  • Amazon Best Sellers Rank: #2,574,696 in Books (See Top 100 in Books)

Customer Reviews

Top Customer Reviews

Format: Hardcover
People make decisions under uncertainties everyday, consciously or unconsciously. Have you ever run into the situation that you browse dozens of web pages to make you feel certain to buy a certain product, but turned out to found out that the information could never be adequate? Why can you see so many computer failures? Have you ever thought that the computer you are using was designed partially by irrational guessing because of inadequate design input? In above cases uncertainties cost people time and money, and in many cases, such as transportation and defense, they cost human lives. Facing uncertainties, when people can no longer collect any more information to make them feel certain, classical theory fails to work as it is expected. Usually people have two options: ignore uncertainties or make a guess of the uncertain information. However, thousands of incidences have indicated that both options can lead to catastrophic results. This book provided a third option, uncertainty modeling and analysis, which has been proved efficient and useful by various applications in many fields ranging from politics to technology.

I have worked for many years in designing high reliable notebook computers in an international company. Uncertainties have caused many persisting problems to my research and develop work. One simple case is the free drop of a notebook computer. No matter how hard I tried to control the drop, there was no useful pattern of shocks which were generated by the drops. Moreover, I cannot drop hundred of these kind of expensive products to get adequate data, thus it seemed almost impossible to make rational decisions in treating drops. I am lucky that I got the chance to attend the author Professor B. M.
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By Gary on October 31, 2010
Format: Hardcover
This following book review is conducted on "Uncertainty Modeling and Analysis in Engineering Sciences" written by Dr. Bilal M. Ayyub, a civil and environmental engineering professor at the University of Maryland, College Park and Dr. George J. Klir, a systems science professor at State University of New York. Published in 2006 by Taylor & Francis Group, LLC, this textbook was issued the ISBN number of 1-58488-644-7 and covers the general subject matter of uncertainty identification and analysis.
There are two main purposes in writing this book. According to the preface of this book, the book was written as a self-learning guide as well as a required textbook for a course. More generally however, this book was written in order to attain educational objectives of "introducing theoretical bases, guidance and applications of the analysis, and modeling of uncertainty." As such, this book was constructed in a way that the methods and applications are tailored towards practitioners. By providing relevant and practical examples within a multitude of industries, the authors comprehensively describe the advantages, disadvantages and limitations of proposed analysis methods. Thus, it is suggested that authors wrote this textbook in order to first state the importance of uncertainty analysis and modeling and second to demonstrate methods to perform such modeling while providing fundamental concepts that allow for adequate understanding.
The authors achieve their objectives through a total of eight chapters by way of "exposition". Each of the chapters explains specific topics within the textbook's framework and can potentially be read independently of previous chapters if an understanding of particular concepts in previous chapters is already known.
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Format: Hardcover Verified Purchase
The book 'Uncertainty Modeling and Analysis in Engineering and Sciences' is a book for analysis about knowledge of modeling and analysing uncertainty. Modern engineers often encounter situations that lack of knowledge or limited resources, in order to make decision under this sort of circumstances, one must have the ability to treat the uncertainty and expert opinions properly. This book introduces and establishes the foundation of these basic knowledge.
In the first three chapters that we have already been taught, the book first set up basic knowledge by presenting concepts of 'system' , 'knowledge', 'ignorance' , then the fundamental of encoding data and express information by using 'classical sets', 'fuzzy sets', 'rough sets' and the basic operations of these sets, later, discuss the uncertainty and information synthesis based on a mission based system definition.
In chapter IV, author provides several uncertainty measures including nonspecificity measures, entropy-like measures and fuzziness measure. In chapter V, author introduces several uncertainty-based criteria including minimum uncertainty criterion, maximum uncertainty criterion and uncertainty invariance criterion. In chapter VI, author put theory into practise discuss on a class of models in engineering and sciences of relating input variables to output variables for a system. Chapter VII discusses about expert opinion elicitation. The last chapter introduces ways for visualize uncertainty in information, in order to portray and group information effectively.
After reading this book, I widen my border of view of decision making in engineering and the analysis of information from real circumstances Uncertainty can be viewed as a component of ignorance, and it has impacts on our practise and ability to make decision.
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