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Soft Methodology and Random Information Systems

  • Conference proceedings
  • © 2004

Overview

Authors:
  1. Miguel López-Díaz

    1. Fac. Ciencias, Dpto. Estadística e I.O.y.D.M., Universidad de Oviedo, Oviedo, Spain

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  2. María Á. Gil

    1. Fac. Ciencias, Dpto. Estadística e I.O.y.D.M., Universidad de Oviedo, Oviedo, Spain

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  3. Przemysław Grzegorzewski

    1. Inst. Systems Research, PAN Warszawa, Warszawa, Poland

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  4. Olgierd Hryniewicz

    1. Inst. Systems Research, PAN Warszawa, Warszawa, Poland

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  5. Jonathan Lawry

    1. Dept. Engineering Mathematics, University Bristol, Bristol, UK

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  • Recent developments in Soft Computing and Statistics
  • Proceedings of the 2nd International Conference on Soft Methods in Probability and Statistics (SMPS’2004)

Part of the book series: Advances in Intelligent and Soft Computing (AINSC, volume 26)

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Table of contents (97 papers)

  1. Front Matter

    Pages I-XIV
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  3. Soft Methodology and Probability

    1. Front Matter

      Pages 75-75
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    2. On Statistical Inference with Random Sets

      • Ding Feng, Hung T. Nguyen
      Pages 77-84

    3. Interval-Valued and Fuzzy-Valued Random Variables: From Computing Sample Variances to Computing Sample Covariances

      • Jan B. Beck, Vladik Kreinovich, Berlin Wu
      Pages 85-92

    4. Estimability and Admissibility in Sample Survey Models

      • Elbert A. Walker
      Pages 93-100

    5. Riesz Space and Fuzzy Upcrossing Theorems

      • Wen-Chi Kuo, Coenraad C. A. Labuschagne, Bruce A. Watson
      Pages 101-108

    6. On Laws of Large Numbers for Exchangeable Random Sets

      • Hiroshi Inoue
      Pages 109-116

    7. Strong and Weak Laws of Large Numbers for Weighted Sums of Fuzzy Set-Valued Random Variables

      • Li Guan, Shoumei Li
      Pages 117-124

    8. Assessing Debris Flow Hazard by Credal Nets

      • Alessandro Antonucci, Andrea Salvetti, Marco Zaffalon
      Pages 125-132

    9. A Possibilistic Interpretation of the Expectation of a Fuzzy Random Variable

      • Inés Couso, Enrique Miranda, Gert de Cooman
      Pages 133-140

    10. Learning and Optimal Control of Imprecise Markov Decision Processes by Dynamic Programming Using the Imprecise Dirichlet Model

      • Matthias C. M. Troffaes
      Pages 141-148

    11. Representation of Incomplete Probabilistic Information

      • Cédric Baudrit, Didier Dubois, Hélène Fargier
      Pages 149-156
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Keywords

About this book

The analysis of experimental data resulting from some underlying random process is a fundamental part of most scientific research. Probability Theory and Statistics have been developed as flexible tools for this analyis, and have been applied successfully in various fields such as Biology, Economics, Engineering, Medicine or Psychology. However, traditional techniques in Probability and Statistics were devised to model only a singe source of uncertainty, namely randomness. In many real-life problems randomness arises in conjunction with other sources, making the development of additional "softening" approaches essential. This book is a collection of papers presented at the 2nd International Conference on Soft Methods in Probability and Statistics (SMPS’2004) held in Oviedo, providing a comprehensive overview of the innovative new research taking place within this emerging field.

Authors and Affiliations

  • Fac. Ciencias, Dpto. Estadística e I.O.y.D.M., Universidad de Oviedo, Oviedo, Spain

    Miguel López-Díaz, María Á. Gil

  • Inst. Systems Research, PAN Warszawa, Warszawa, Poland

    Przemysław Grzegorzewski, Olgierd Hryniewicz

  • Dept. Engineering Mathematics, University Bristol, Bristol, UK

    Jonathan Lawry

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