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Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas

In Honor of Hung T. Nguyen's 75th Birthday

  • Book
  • © 2021

Overview

Editors:
  1. Vladik Kreinovich

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

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  • Celebrates the 75th birthday of Hung T. Nguyen
  • Reflects many of Hung T. Nguyen’s areas of research
  • Presents state-of-the-art research on Statistical and Fuzzy Approaches to Data Processing

Part of the book series: Studies in Computational Intelligence (SCI, volume 892)

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Table of contents (19 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. An Enjoyable Research Journey on Uncertainty

    • Hung T. Nguyen
    Pages 1-14

  3. A Bayesian Dilemma

    • Donald Bamber
    Pages 15-29

  4. The Fell Compactification of a Poset

    • G. Bezhanishvili, J. Harding
    Pages 31-46

  5. Is Time Fuzzy?

    • Bernadette Bouchon-Meunier
    Pages 47-54

  6. Hung Jury: The Verdict on Uncertainty

    • William M. Briggs
    Pages 55-65

  7. Applications of Type-2 Fuzzy Sets with Set Approximation Approaches: A Summary

    • Chia-Wen Chang, Chin-Wang Tao
    Pages 67-92

  8. A Remark on the Caristi’s Fixed Point Theorem and the Brouwer Fixed Point Theorem

    • S. Dhompongsa, P. Kumam
    Pages 93-99

  9. Thick Sets, Multiple-Valued Mappings, and Possibility Theory

    • Didier Dubois, Luc Jaulin, Henri Prade
    Pages 101-109

  10. A Tacit Assumption Behind Lewis Triviality That Is Not Applicable to Product Space Conditional Event Algebra

    • I. R. Goodman, Donald Bamber
    Pages 111-126

  11. Arrondir le cercle...

    • Emmanuel Haven
    Pages 127-132

  12. Beyond p-Boxes and Interval-Valued Moments: Natural Next Approximations to General Imprecise Probabilities

    • Olga Kosheleva, Vladik Kreinovich
    Pages 133-143

  13. How to Reconcile Maximum Entropy Approach with Intuition: E.g., Should Interval Uncertainty Be Represented by a Uniform Distribution

    • Vladik Kreinovich, Olga Kosheleva, Songsak Sriboonchitta
    Pages 145-156

  14. Time Series: How Unusual Local Behavior Can Be Recognized Using Fuzzy Modeling Methods

    • Vilém Novák, Viktor Pavliska
    Pages 157-177

  15. Fuzzy-Based Methods in Data Analysis with the Focus on Dimensionality Reduction

    • Irina Perfilieva
    Pages 179-192

  16. Perception and Reality

    • Nadipuram R. Prasad
    Pages 193-218

  17. The Falsificationist Foundation for Null Hypothesis Significance Testing

    • David Trafimow
    Pages 219-226

  18. A Wavelet Strategy to Buy Low and Sell High

    • Lanh Tran
    Pages 227-235

  19. A Note on the Relation Between Liu’s Uncertain Measure and Choquet Capacity

    • Guo Wei, Zhiming Li, Mei Cai
    Pages 237-246

  20. The Joint Distribution of the Discrete Random Set Vector and Bivariate Coarsening at Random Models

    • Zheng Wei, Baokun Li, Tonghui Wang
    Pages 247-265
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Keywords

About this book

Mainly focusing on processing uncertainty, this book presents state-of-the-art techniques and demonstrates their use in applications to econometrics and other areas. Processing uncertainty is essential, considering that computers – which help us understand real-life processes and make better decisions based on that understanding – get their information from measurements or from expert estimates, neither of which is ever 100% accurate. Measurement uncertainty is usually described using probabilistic techniques, while uncertainty in expert estimates is often described using fuzzy techniques. Therefore, it is important to master both techniques for processing data. This book is highly recommended for researchers and students interested in the latest results and challenges in uncertainty, as well as practitioners who want to learn how to use the corresponding state-of-the-art techniques. 

Editors and Affiliations

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

    Vladik Kreinovich

Bibliographic Information

  • Book Title: Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas

  • Book Subtitle: In Honor of Hung T. Nguyen's 75th Birthday

  • Editors: Vladik Kreinovich

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-030-45619-1

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-45618-4Published: 19 June 2020

  • Softcover ISBN: 978-3-030-45621-4Published: 20 June 2021

  • eBook ISBN: 978-3-030-45619-1Published: 19 June 2020

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XIV, 265

  • Number of Illustrations: 5 b/w illustrations, 33 illustrations in colour

  • Topics: Computational Intelligence, Engineering Mathematics

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