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Uncertainty Modeling

Dedicated to Professor Boris Kovalerchuk on his Anniversary

  • Book
  • © 2017

Overview

Editors:
  1. Vladik Kreinovich

    1. University of Texas at El Paso, Department of Computer Science University of Texas at El Paso, El Paso, TX, USA

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  • Celebrates the 65th birthday of Dr. Boris Kovalerchuk
  • Reflects many of Dr. Boris Kovalerchuk’s areas of research
  • Presents the latest uncertainty modeling research
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 683)

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. MapReduce: From Elementary Circuits to Cloud

    • RÇŽzvan Andonie, Mihaela MaliÅ£a, Gheorghe M. Åžtefan
    Pages 1-14

  3. On the Helmholtz Principle for Data Mining

    • Alexander Balinsky, Helen Balinsky, Steven Simske
    Pages 15-35

  4. A Method of Introducing Weights into OWA Operators and Other Symmetric Functions

    • Gleb Beliakov
    Pages 37-52

  5. Uncertainty Management: Probability, Possibility, Entropy, and Other Paradigms

    • Bernadette Bouchon-Meunier
    Pages 53-60

  6. Relationships Between Fuzziness, Partial Truth, and Probability in the Case of Repetitive Events

    • Jozo Dujmović
    Pages 61-69

  7. Using Extended Tree Kernel to Recognize Metalanguage in Text

    • Boris A. Galitsky
    Pages 71-96

  8. Relationships Between Probability and Possibility Theories

    • Boris Kovalerchuk
    Pages 97-122

  9. Modeling Extremal Events Is Not Easy: Why the Extreme Value Theorem Cannot Be As General As the Central Limit Theorem

    • Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, Olga Kosheleva
    Pages 123-133

  10. Information Quality and Uncertainty

    • Marie-Jeanne Lesot, Adrien Revault d’Allonnes
    Pages 135-146

  11. Applying Anomalous Cluster Approach to Spatial Clustering

    • Susana Nascimento, Boris Mirkin
    Pages 147-157

  12. Why Is Linear Quantile Regression Empirically Successful: A Possible Explanation

    • Hung T. Nguyen, Vladik Kreinovich, Olga Kosheleva, Songsak Sriboonchitta
    Pages 159-167

  13. A Rapid Soft Computing Approach to Dimensionality Reduction in Model Construction

    • Vesa A. Niskanen
    Pages 169-191

  14. Physics of the Mind, Dynamic Logic, and Monotone Boolean functions

    • Leonid I. Perlovsky
    Pages 193-231

  15. Fuzzy Arithmetic Type 1 with Horizontal Membership Functions

    • Andrzej Piegat, Marek Landowski
    Pages 233-250

  16. Copula as a Bridge Between Probability Theory and Fuzzy Logic

    • Germano Resconi, Boris Kovalerchuk
    Pages 251-272

  17. Note to the Polemics Surrounding the Second Gödel’s Theorem

    • Klimentij Samokhvalov
    Pages 273-275

  18. Ontological Data Mining

    • Evgenii Vityaev, Boris Kovalerchuk
    Pages 277-292
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Keywords

About this book

This book commemorates the 65th birthday of Dr. Boris Kovalerchuk, and reflects many of the research areas covered by his work. It focuses on data processing under uncertainty, especially fuzzy data processing, when uncertainty comes from the imprecision of expert opinions. The book includes 17 authoritative contributions by leading experts.

Editors and Affiliations

  • University of Texas at El Paso, Department of Computer Science University of Texas at El Paso, El Paso, TX, USA

    Vladik Kreinovich

Bibliographic Information

  • Book Title: Uncertainty Modeling

  • Book Subtitle: Dedicated to Professor Boris Kovalerchuk on his Anniversary

  • Editors: Vladik Kreinovich

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-51052-1

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2017

  • Hardcover ISBN: 978-3-319-51051-4Published: 08 February 2017

  • Softcover ISBN: 978-3-319-84554-8Published: 04 May 2018

  • eBook ISBN: 978-3-319-51052-1Published: 31 January 2017

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XIV, 292

  • Number of Illustrations: 44 b/w illustrations, 24 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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