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Advances in Intelligent and Soft Computing

Interval / Probabilistic Uncertainty and Non-classical Logics

Editors: Huynh, V.-N., Nakamori, Y., Ono, H., Lawry, J., Kreinovich, V., Nguyen, H.T. (Eds.)

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  • Proceedings of the International Workshop on Interval/Probabilistic Uncertainty and Non Classical Logics (UncLog'08), Ishikawa, Japan, March 25-28, 2008
  • Recent developments in Uncertainty and Non-classical Logics
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eBook 166,59 €
price for Spain (gross)
  • ISBN 978-3-540-77664-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 202,79 €
price for Spain (gross)
  • ISBN 978-3-540-77663-5
  • Free shipping for individuals worldwide
  • This title is currently reprinting. You can pre-order your copy now.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

Most successful applications of modern science and engineering, from discovering the human genome to predicting weather to controlling space missions, involve processing large amounts of data and large knowledge bases. The ability of computers to perform fast data and knowledge processing is based on the hardware support for super-fast elementary computer operations, such as performing arithmetic operations with (exactly known) numbers and performing logical operations with binary ("true"-"false") logical values. In practice, measurements are never 100% accurate. It is therefore necessary to find out how this input inaccuracy (uncertainty) affects the results of data processing. Sometimes, we know the corresponding probability distribution; sometimes, we only know the upper bounds on the measurement error -- which leads to interval bounds on the (unknown) actual value. Also, experts are usually not 100% certain about the statements included in the knowledge bases. A natural way to describe this uncertainty is to use non-classical logics (probabilistic, fuzzy, etc.).

This book contains proceedings of the first international workshop that brought together researchers working on interval and probabilistic uncertainty and on non-classical logics. We hope that this workshop will lead to a boost in the much-needed collaboration between the uncertainty analysis and non-classical logic communities, and thus, to better processing of uncertainty.

Table of contents (28 chapters)

Table of contents (28 chapters)
  • An Algebraic Approach to Substructural Logics – An Overview

    Pages 3-4

    Ono, Hiroakira

  • On Modeling of Uncertainty Measures and Observed Processes

    Pages 5-15

    Nguyen, Hung T.

  • Fast Algorithms for Computing Statistics under Interval Uncertainty: An Overview

    Pages 19-31

    Kreinovich, Vladik (et al.)

  • Trade-Off between Sample Size and Accuracy: Case of Static Measurements under Interval Uncertainty

    Pages 32-44

    Nguyen, Hung T. (et al.)

  • Trade-Off between Sample Size and Accuracy: Case of Dynamic Measurements under Interval Uncertainty

    Pages 45-56

    Nguyen, Hung T. (et al.)

Buy this book

eBook 166,59 €
price for Spain (gross)
  • ISBN 978-3-540-77664-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 202,79 €
price for Spain (gross)
  • ISBN 978-3-540-77663-5
  • Free shipping for individuals worldwide
  • This title is currently reprinting. You can pre-order your copy now.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Interval / Probabilistic Uncertainty and Non-classical Logics
Editors
  • Van-Nam Huynh
  • Yoshiteru Nakamori
  • Hiroakira Ono
  • Jonathan Lawry
  • Vladik Kreinovich
  • Hung T. Nguyen
Series Title
Advances in Intelligent and Soft Computing
Series Volume
46
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-77664-2
DOI
10.1007/978-3-540-77664-2
Softcover ISBN
978-3-540-77663-5
Series ISSN
1867-5662
Edition Number
1
Number of Pages
XVIII, 376
Number of Illustrations
79 b/w illustrations
Topics