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Strengthening Links Between Data Analysis and Soft Computing

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  • © 2015

Overview

Editors:
  1. Przemyslaw Grzegorzewski

    1. Polish Academy of Sciences, Faculty of Mathematics and Information Sciences, Systems Research Institute and Warsaw University of Technology, Warsaw, Poland

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  2. Marek Gagolewski

    1. Polish Academy of Sciences, Faculty of Mathematics and Information Sciences, Systems Research Institute and Warsaw University of Technology, Warsaw, Poland

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  3. Olgierd Hryniewicz

    1. Polish Academy of Sciences Systems Research Institute, Warsaw, Poland

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  4. María Ángeles Gil

    1. Departamento de Estadistica e I.O. y D.M., University of Oviedo, Oviedo, Spain

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  • Latest research on Data Analysis and Soft Computing
  • Results of the 7th International Conference on Soft Methods in Probability and Statistics (SMPS'2014) held in Warsaw (Poland) by September 22-24, 2014
  • Gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 315)

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Table of contents (33 chapters)

  1. Front Matter

    Pages 1-12
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  2. Soft Methods in Uncertainty Modeling and Processing

    1. Front Matter

      Pages 1-1
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    2. Deciding under Ignorance: In Search of Meaningful Extensions of the Hurwicz Criterion to Decision Trees

      • Didier Dubois, Hélène Fargier, Romain Guillaume, Caroline Thierry
      Pages 3-11

    3. Comparison of Fuzzy and Crisp Random Variables by Monte Carlo Simulations

      • Olgierd Hryniewicz
      Pages 13-20

    4. Stochastic Orders for Fuzzy Random Variables

      • Ignacio Montes, Enrique Miranda, Susana Montes
      Pages 21-28

    5. Interval Compositional Data: Problems and Possibilities

      • Ondřej Pavlačka, Karel Hron
      Pages 29-36

    6. A New Definition of Evaluation/Defuzzification of an Interval Type-2 Fuzzy Set

      • Luca Anzilli, Gisella Facchinetti, Tommaso Pirotti
      Pages 37-45

    7. Connecting Interval-Valued Fuzzy Sets with Imprecise Probabilities

      • Ignacio Montes, Enrique Miranda, Susana Montes
      Pages 47-54

    8. On Incomplete Label Ranking with IF-sets

      • Paweł P. Ładyżyński, Przemysław Grzegorzewski
      Pages 55-62

    9. On the Continuity of Probability on IF Sets

      • Beloslav Riečan, Alžbeta Michalíková
      Pages 63-70

    10. Bayesian Updating under Incomplete or Imprecise Information in Finite Spaces

      • Giulianella Coletti, Davide Petturiti, Barbara Vantaggi
      Pages 71-78

    11. Forecasting Short Time Series with the Bayesian Autoregression and the Soft Computing Prior Information

      • Olgierd Hryniewicz, Katarzyna Kaczmarek
      Pages 79-86

    12. Learning Structure of Bayesian Networks by Using Possibilistic Upper Entropy

      • Mathieu Serrurier, Henri Prade
      Pages 87-95

    13. On Fuzzy Equations with 2 ×2 Matrices

      • Martin Bacovský
      Pages 97-103

    14. Fuzzy and Set-Valued Stochastic Differential Equations with Solutions of Decreasing Fuzziness

      • Marek T. Malinowski
      Pages 105-112

  3. Soft Methods in Statistics

    1. Front Matter

      Pages 113-113
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    2. An Approximation to the Small Sample Distribution of the Trimmed Mean for Gaussian Mixture Models

      • Alfonso García-Pérez
      Pages 115-122

    3. Empirical Sensitivity Analysis on the Influence of the Shape of Fuzzy Data on the Estimation of Some Statistical Measures

      • María Asunción Lubiano, Sara de la Rosa de Sáa, Beatriz Sinova, María Ángeles Gil
      Pages 123-131

    4. On the Robustness of Absolute Deviations with Fuzzy Data

      • Sara de la Rosa de Sáa, Peter Filzmoser, María Ángeles Gil, María Asunción Lubiano
      Pages 133-141

    5. The Wabl/Ldev/Rdev Median of a Random Fuzzy Number and Statistical Properties

      • Beatriz Sinova, Sonia Pérez-Fernández, Manuel Montenegro
      Pages 143-150
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Keywords

About this book

This book gathers contributions presented at the 7th International Conference on Soft Methods in Probability and Statistics SMPS 2014, held in Warsaw (Poland) on September 22-24, 2014. Its aim is to present recent results illustrating new trends in intelligent data analysis. It gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics.
Synergies of both fields might improve intelligent data analysis methods in terms of robustness to noise and applicability to larger datasets, while being able to efficiently obtain understandable solutions of real-world problems.

Editors and Affiliations

  • Polish Academy of Sciences, Faculty of Mathematics and Information Sciences, Systems Research Institute and Warsaw University of Technology, Warsaw, Poland

    Przemyslaw Grzegorzewski, Marek Gagolewski

  • Polish Academy of Sciences Systems Research Institute, Warsaw, Poland

    Olgierd Hryniewicz

  • Departamento de Estadistica e I.O. y D.M., University of Oviedo, Oviedo, Spain

    María Ángeles Gil

Bibliographic Information

  • Book Title: Strengthening Links Between Data Analysis and Soft Computing

  • Editors: Przemyslaw Grzegorzewski, Marek Gagolewski, Olgierd Hryniewicz, María Ángeles Gil

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-319-10765-3

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Softcover ISBN: 978-3-319-10764-6Published: 25 September 2014

  • eBook ISBN: 978-3-319-10765-3Published: 10 September 2014

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XII, 294

  • Number of Illustrations: 39 b/w illustrations, 3 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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