International Series in Intelligent Technologies

Applied Research in Uncertainty Modeling and Analysis

Editors: Ayyub, Bilal (Ed.)

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eBook $189.00
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  • ISBN 978-0-387-23550-9
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Hardcover $249.00
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  • ISBN 978-0-387-23535-6
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Softcover $249.00
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About this book

Uncertainty has been a concern to engineers, managers, and scientists for many years. For a long time uncertainty has been considered synonymous with random, stochastic, statistic, or probabilistic. Since the early sixties views on uncertainty have become more heterogeneous.  In the past forty years numerous tools that model uncertainty, above and beyond statistics, have been proposed by several engineers and scientists. The tool/method to model uncertainty in a specific context should really be chosen by considering the features of the phenomenon under consideration, not independent of what is known about the system and what causes uncertainty.

In this fascinating overview of the field, the authors provide broad coverage of uncertainty analysis/modeling and its application. Applied Research in Uncertainty Modeling and Analysis presents the perspectives of various researchers and practitioners on uncertainty analysis and modeling outside their own fields and domain expertise. Rather than focusing explicitly on theory, the authors use real-world examples to demonstrate the strength of the chosen methodology.

Applied Research in Uncertainty Modeling and Analysis concentrates on general aspects of uncertainty, modeling, and methods, and focuses on various applications, included Biomedical Engineering, Chemical Engineering, Structural Engineering, and Transportation Engineering.

Reviews

From the reviews of the first edition:

"This book presents a collection of interesting articles in the general framework of uncertainty modeling and analysis. The tools used come from various disciplines including statistics and operations research. … an operations research instructor may consider Applied Research in Uncertainty Modeling and Analysis favorably as a good source book … ." (Sailes K. Sengupta, Technometrics, Vol. 48 (4), 2006)


Table of contents (23 chapters)

  • Philosophical and Theoretical Bases for Analyzing and Modeling Uncertainty and Ignorance

    Ayyub, Bilal M.

    Pages 1-18

  • A Self-Organizing Neural Network by Dynamic and Spatial Changing Weights

    Homma, Noriyasu (et al.)

    Pages 19-30

  • Simulation of Fuzzy Systems I

    Buckley, James J. (et al.)

    Pages 31-60

  • Simulation Of Fuzzy Systems II

    Buckley, James J. (et al.)

    Pages 61-90

  • Event-Related Potential Noise Reduction Using the Hidden Markov Tree Model

    Herrera, Rafael E. (et al.)

    Pages 91-113

Buy this book

eBook $189.00
price for USA (gross)
  • ISBN 978-0-387-23550-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.00
price for USA
  • ISBN 978-0-387-23535-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $249.00
price for USA
  • ISBN 978-1-4419-3635-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Applied Research in Uncertainty Modeling and Analysis
Editors
  • Bilal Ayyub
Series Title
International Series in Intelligent Technologies
Series Volume
20
Copyright
2005
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-0-387-23550-9
DOI
10.1007/b101807
Hardcover ISBN
978-0-387-23535-6
Softcover ISBN
978-1-4419-3635-6
Series ISSN
1382-3434
Edition Number
1
Number of Pages
XVI, 545
Topics