Advances in Intelligent and Soft Computing

Soft Methods for Handling Variability and Imprecision

Editors: Dubois, D., Lubiano, M.A., Prade, H., Gil, M.Á., Grzegorzewski, P., Hryniewicz, O. (Eds.)

  • Recent developments in Soft Computing and Statistics
  • Best edited papers of the 4th International Conference on Soft Methods in Probability and Statistics (SMPS’2008)
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eBook $229.00
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  • ISBN 978-3-540-85027-4
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Softcover $299.99
price for USA in USD
  • ISBN 978-3-540-85026-7
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About this book

Probability theory has been the only well-founded theory of uncertainty for a long time. It was viewed either as a powerful tool for modelling random phenomena, or as a rational approach to the notion of degree of belief. During the last thirty years, in areas centered around decision theory, artificial intelligence and information processing, numerous approaches extending or orthogonal to the existing theory of probability and mathematical statistics have come to the front. The common feature of those attempts is to allow for softer or wider frameworks for taking into account the incompleteness or imprecision of information. Many of these approaches come down to blending interval or fuzzy interval analysis with probabilistic methods.

This book gathers contributions to the 4th International Conference on Soft methods in Probability and Statistics. Its aim is to present recent results illustrating such new trends that enlarge the statistical and uncertainty modeling traditions, towards the handling of incomplete or subjective information. It covers a broad scope ranging from philosophical and mathematical underpinnings of new uncertainty theories, with a stress on their impact in the area of statistics and data analysis, to numerical methods and applications to environmental risk analysis and mechanical engineering. A unique feature of this collection is to establish a dialogue between fuzzy random variables and imprecise probability theories.

Table of contents (44 chapters)

  • Imprecise Probabilistic Prediction for Categorical Data: From Bayesian Inference to the Imprecise Dirichlet-Multinomial Model

    Bernard, Jean-Marc

    Pages 3-9

  • Fuzzy Bayesian Inference

    Viertl, Reinhard

    Pages 10-15

  • Soft Methods for Treating Uncertainties: Applications in the Field of Environmental Risks

    Guyonnet, Dominique (et al.)

    Pages 16-26

  • Robert Féron: A Pioneer in Soft Methods for Probability and Statistics

    Auray, Jean-Paul (et al.)

    Pages 27-32

  • Relating Prototype Theory and Label Semantics

    Lawry, Jonathan (et al.)

    Pages 35-42

Buy this book

eBook $229.00
price for USA in USD (gross)
  • ISBN 978-3-540-85027-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $299.99
price for USA in USD
  • ISBN 978-3-540-85026-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Soft Methods for Handling Variability and Imprecision
Editors
  • Didier Dubois
  • Maria Asuncion Lubiano
  • Henri Prade
  • María Ángeles Gil
  • Przemyslaw Grzegorzewski
  • Olgierd Hryniewicz
Series Title
Advances in Intelligent and Soft Computing
Series Volume
48
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-85027-4
DOI
10.1007/978-3-540-85027-4
Softcover ISBN
978-3-540-85026-7
Series ISSN
1867-5662
Edition Number
1
Number of Pages
XXII, 436
Number of Illustrations and Tables
45 b/w illustrations
Topics