- 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)
- #319 in Books > Engineering & Transportation > Engineering > Industrial, Manufacturing & Operational Systems > Production, Operation & Management
- #1006 in Books > Business & Money > Processes & Infrastructure > Operations Research
- #1904 in Books > Science & Math > Biological Sciences > Biology > Molecular Biology
Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.
To get the free app, enter your mobile phone number.
Uncertainty Modeling and Analysis in Engineering and the Sciences 1st Edition
Use the Amazon App to scan ISBNs and compare prices.
Best Books of the Year So Far in fiction, nonfiction, mysteries, children's books, and much more.
Top Customer Reviews
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.Read more ›
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.Read more ›
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.Read more ›
Most Recent Customer Reviews
A good book for students who follow the system engineering, but does not good for advance topics in uncertainties, especially for Math students.Published on January 4, 2014 by a.r
The book introduces fundamental concepts of classical sets, fuzzy sets, rough sets, probability, Bayesian methods, interval analysis, fuzzy arithmetic , interval probabilities,... Read morePublished on October 26, 2010 by Sungmin
In the book Uncertainty Modeling and Analysis in Engineering and the Sciences, Bilal M. Ayyub and George J. Read morePublished on October 26, 2010 by randy
In a world that is becoming increasingly complex and sophisticated in technology for the delivery of goods and services, an understanding of the complexity and uncertainties in the... Read morePublished on October 26, 2010 by samess
The text book entitled "Uncertainty Modeling and Analysis in Engineering and the Science" written by Professor Bilal M. Ayyub and George J. Read morePublished on October 25, 2010 by brook
There are several instances where scientists and researchers need to solve complicated problems with incomplete information with a lot of uncertainty involved. Read morePublished on October 25, 2010 by Ansh
This textbook is intended to help prepare scientists to deal with incomplete and uncertain information while solving complex problems. Read morePublished on October 21, 2010 by Greg