Studies in Computational Intelligence

Combining Interval, Probabilistic, and Other Types of Uncertainty in Engineering Applications

Authors: Pownuk, Andrzej, Kreinovich, Vladik

  • Presents successful methods for estimating the accuracy of the results of data processing under different models of measurement and estimation inaccuracies: probabilistic, interval, and fuzzy  Offers methods that provide accurate estimates of the resulting uncertainty, do not take too much computation time, will be accessible for engineers, and are sufficiently general to cover all kinds of uncertainty  Includes several illustrative case studies

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eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-91026-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-319-91025-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

How can we solve engineering problems while taking into account data characterized by different types of measurement and estimation uncertainty: interval, probabilistic, fuzzy, etc.? This book provides a theoretical basis for arriving at such solutions, as well as case studies demonstrating how these theoretical ideas can be translated into practical applications in the geosciences, pavement engineering, etc.
In all these developments, the authors’ objectives were to provide accurate estimates of the resulting uncertainty; to offer solutions that require reasonably short computation times; to offer content that is accessible for engineers; and to be sufficiently general - so that readers can use the book for many different problems. The authors also describe how to make decisions under different types of uncertainty.
The book offers a valuable resource for all practical engineers interested in better ways of gauging uncertainty, for students eager to learn and apply the new techniques, and for researchers interested in processing heterogeneous uncertainty. 

Table of contents (7 chapters)

  • Introduction

    Pownuk, Andrew (et al.)

    Pages 1-12

  • How to Get More Accurate Estimates

    Pownuk, Andrew (et al.)

    Pages 13-44

  • How to Speed Up Computations

    Pownuk, Andrew (et al.)

    Pages 45-95

  • Towards a Better Understandability of Uncertainty-Estimating Algorithms

    Pownuk, Andrew (et al.)

    Pages 97-136

  • How General Can We Go: What Is Computable and What Is not

    Pownuk, Andrew (et al.)

    Pages 137-155

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-91026-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-319-91025-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Combining Interval, Probabilistic, and Other Types of Uncertainty in Engineering Applications
Authors
Series Title
Studies in Computational Intelligence
Series Volume
773
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-91026-0
DOI
10.1007/978-3-319-91026-0
Hardcover ISBN
978-3-319-91025-3
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XI, 202
Number of Illustrations and Tables
1 b/w illustrations, 1 illustrations in colour
Topics