Combining Soft Computing and Statistical Methods in Data Analysis

  • Christian Borgelt
  • Gil González-Rodríguez
  • Wolfgang Trutschnig
  • María Asunción Lubiano
  • María Ángeles Gil
  • Przemysław Grzegorzewski
  • Olgierd Hryniewicz

Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 77)

Table of contents

  1. Front Matter
  2. Danilo Abbate, Roberta De Asmundis, Mario Rosario Guarracino
    Pages 1-8
  3. Simone Alfarano, Eva Camacho, Josep Domenech
    Pages 9-16
  4. Andreas Alfons, Matthias Templ, Peter Filzmoser, Josef Holzer
    Pages 17-24
  5. Angela Blanco-Fernández, Norberto Corral, Gil González-Rodríguez, Antonio Palacio
    Pages 33-40
  6. Luca Bortolussi, Andrea Sgarro
    Pages 41-48
  7. A. Brozzi, A. Morelli, F. Vattari
    Pages 49-56
  8. Giuseppe Busanello, Barbara Vantaggi
    Pages 57-64
  9. Andrés Cano, Manuel Gómez-Olmedo, Cora B. Pérez-Ariza, Antonio Salmerón
    Pages 65-72
  10. Andrea Capotorti, Giuliana Regoli, Francesca Vattari
    Pages 73-80
  11. Ignacio Cascos, Miguel Mendes
    Pages 81-88
  12. Giulianella Coletti, Davide Petturiti, Barbara Vantaggi
    Pages 89-96
  13. Frank P. A. Coolen, Tahani A. Maturi
    Pages 97-104
  14. Inés Couso, Laura Garrido, Susana Montes, Luciano Sánchez
    Pages 105-113
  15. Inés Couso, Luciano Sánchez
    Pages 115-122
  16. Juan A. Cuesta-Albertos, Alicia Nieto-Reyes
    Pages 123-130
  17. E. de Amo, M. Díaz Carrillo, J. Fernández-Sánchez
    Pages 131-138
  18. Gert de Cooman, Enrique Miranda, Marco Zaffalon
    Pages 139-147
  19. Jesús de la Cal, Javier Cárcamo, Luis Escauriaza
    Pages 149-154

About these proceedings

Introduction

Over the last forty years there has been a growing interest to extend probability theory and statistics and to allow for more flexible modelling of imprecision, uncertainty, vagueness and ignorance. The fact that in many real-life situations data uncertainty is not only present in the form of randomness (stochastic uncertainty) but also in the form of imprecision/fuzziness is but one point underlining the need for a widening of statistical tools. Most such extensions originate in a "softening" of classical methods, allowing, in particular, to work with imprecise or vague data, considering imprecise or generalized probabilities and fuzzy events, etc. About ten years ago the idea of establishing a recurrent forum for discussing new trends in the before-mentioned context was born and resulted in the first International Conference on Soft Methods in Probability and Statistics (SMPS) that was held in Warsaw in 2002. In the following years the conference took place in Oviedo (2004), in Bristol (2006) and in Toulouse (2008). In the current edition the conference returns to Oviedo. This edited volume is a collection of papers presented at the SMPS 2010 conference held in Mieres and Oviedo. It gives a comprehensive overview of current research into the fusion of soft methods with probability and statistics.

Keywords

Fuzzy Probability Soft Computing Soft Methods model modeling statistics

Editors and affiliations

  • Christian Borgelt
    • 1
  • Gil González-Rodríguez
    • 1
  • Wolfgang Trutschnig
    • 1
  • María Asunción Lubiano
    • 2
  • María Ángeles Gil
    • 3
  • Przemysław Grzegorzewski
    • 4
  • Olgierd Hryniewicz
    • 5
  1. 1.Research Unit on Intelligent Data Analysis and Graphical ModelsEuropean Centre for Soft Computing Edificio Científico-Tecnológico. 3a PlantaMieresSpain
  2. 2.Departamento de Estadística e I.O. y D.M.Universidad de Oviedo, Facultad de CienciasOviedoSpain
  3. 3.Departamento de Estadística e I.O. yD.M.Universidad de Oviedo, Facultad de CienciasOviedoSpain
  4. 4.Systems Research InstitutePolish Academy of SciencesWarsawPoland
  5. 5.Systems Research InstitutePolish Academy of ScienceWarsawPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-14746-3
  • Copyright Information Springer Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-14745-6
  • Online ISBN 978-3-642-14746-3
  • Series Print ISSN 1867-5662
  • Series Online ISSN 1867-5670
  • About this book