Soft Methodology and Random Information Systems

  • Miguel López-Díaz
  • María Á. Gil
  • Przemysław Grzegorzewski
  • Olgierd Hryniewicz
  • Jonathan Lawry

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

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Keynote Papers

  3. Soft Methodology and Probability

    1. Front Matter
      Pages 75-75
    2. Ding Feng, Hung T. Nguyen
      Pages 77-84
    3. Wen-Chi Kuo, Coenraad C. A. Labuschagne, Bruce A. Watson
      Pages 101-108
    4. Alessandro Antonucci, Andrea Salvetti, Marco Zaffalon
      Pages 125-132
    5. Inés Couso, Enrique Miranda, Gert de Cooman
      Pages 133-140
    6. Cédric Baudrit, Didier Dubois, Hélène Fargier
      Pages 149-156
    7. Joaquín Abellán, Serafín Moral
      Pages 157-164
    8. Bernard De Baets, Hans De Meyer
      Pages 165-172
    9. José Antonio Rodríguez-Lallena, Manuel Úbeda-Flores
      Pages 173-180
    10. Erich Peter Klement, Radko Mesiar, Endre Pap
      Pages 181-188
    11. Fabrizio Durante, Carlo Sempi
      Pages 189-196
    12. Angela Albanese, Carlo Sempi
      Pages 197-204
    13. Erich Peter Klement, Anna Kolesárová
      Pages 205-211
    14. Volker Krätschmer, Joachim Oberlinger
      Pages 212-218
    15. M. Jorge Bolaños, Fernando Reche
      Pages 219-226
    16. K. Jayakumar
      Pages 235-242
    17. Beloslav Riečan
      Pages 243-248
    18. Giulianella Coletti, Romano Scozzafava
      Pages 257-264
    19. Romano Scozzafava, Barbara Vantaggi
      Pages 265-272
    20. Hans De Meyer, Bernard De Baets
      Pages 273-280
    21. Martin Kalina, Olga Nánásiová
      Pages 281-288
  4. Soft Methodology and Statistics/OR

    1. Front Matter
      Pages 297-297
    2. Arjun K. Gupta, Truc T. Nguyen, Leandro Pardo
      Pages 299-306
    3. Domingo Morales, Leandro Pardo, Igor Vajda
      Pages 315-322
    4. Teresa Pérez, Julio Angel Pardo
      Pages 323-330
    5. Yolanda Marhuenda, Domingo Morales, Julio Angel Pardo, María del Carmen Pardo
      Pages 331-338
    6. Isabel Molina, Domingo Morales
      Pages 339-346
    7. Julio Angel Pardo, María del Carmen Pardo
      Pages 347-354
    8. Apostolos Batsidis, Konstantinos Zografos
      Pages 371-378

About these proceedings


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.


Data Analysis Data Mining Dempster-Shafer Theory Fuzzy Logic Imprecise Prohabilities Prohability Random Sets Soft Computing information system model statistics uncertainty

Authors and affiliations

  • Miguel López-Díaz
    • 1
  • María Á. Gil
    • 1
  • Przemysław Grzegorzewski
    • 2
  • Olgierd Hryniewicz
    • 2
  • Jonathan Lawry
    • 3
  1. 1.Fac. Ciencias, Dpto. Estadística e I.O.y.D.M.Universidad de OviedoOviedoSpain
  2. 2.Inst. Systems ResearchPAN WarszawaWarszawaPoland
  3. 3.Dept. Engineering MathematicsUniversity BristolBristolUK

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-22264-4
  • Online ISBN 978-3-540-44465-7
  • Series Print ISSN 1867-5662
  • Series Online ISSN 1867-5670
  • Buy this book on publisher's site