Perception-based Data Mining and Decision Making in Economics and Finance

  • Ildar Batyrshin
  • Janusz Kacprzyk
  • Leonid Sheremetov
  • Lotfi A. Zadeh

Part of the Studies in Computational Intelligence book series (SCI, volume 36)

Table of contents

  1. Front Matter
    Pages i-33
  2. Data Mining

    1. Front Matter
      Pages 36-36
    2. Ildar Batyrshin, Raul Herrera-Avelar, Leonid Sheremetov, Aleksandra Panova
      Pages 55-83
    3. Ildar Batyrshin, Leonid Sheremetov, Raul Herrera-Avelar
      Pages 85-118
    4. Ildar Batyrshin, Leonid Sheremetov
      Pages 119-134
    5. Dymitr Ruta
      Pages 135-153
    6. Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge, Wojtek J. Krzanowski, Richard M. Everson, Trevor C. Bailey et al.
      Pages 155-179
    7. Ildar Batyrshin, Tamas Rudas
      Pages 181-206
  3. Decision Making

    1. Front Matter
      Pages 208-208
    2. Milan Mareš
      Pages 209-239
    3. Bernard De Baets, Hans De Meyer
      Pages 261-274
    4. Silvia Muzzioli, Huguette Reynaerts
      Pages 275-301
    5. Toshihiro Kaino, Kaoru Hirota
      Pages 303-330
    6. Luis Rocha-Mier, Leonid Sheremetov, Francisco Villarreal
      Pages 331-351
    7. Antonio Carlos Pinto Dias Alves
      Pages 353-367

About this book


The primary goal of this book is to present to the scientific and management communities a selection of applications using recent Soft Computing (SC) and Computing with Words and Perceptions (CWP) models and techniques meant to solve some economics and financial problems that are of utmost importance. The book starts with a coverage of data mining tools and techniques that may be of use and significance for economic and financial analyses and applications. Notably, fuzzy and natural language based approaches and solutions for a more human consistent dealing with decision support, time series analysis, forecasting, clustering, etc. are discussed. The second part deals with various decision making models, particularly under probabilistic and fuzzy uncertainty, and their applications in solving a wide array of problems including portfolio optimization, option pricing, financial engineering, risk analysis etc. The selected examples could also serve as a starting point or as an opening out, in the SC and CWP techniques application to a wider range of problems in economics and finance.


calculus classification clustering collective intelligence data mining decision support decision support system decision tree fuzzy intelligence natural language optimization perception time series analysis uncertainty

Editors and affiliations

  • Ildar Batyrshin
    • 1
    • 5
  • Janusz Kacprzyk
    • 2
  • Leonid Sheremetov
    • 1
    • 3
  • Lotfi A. Zadeh
    • 4
  1. 1.Mexican Petroleum InstituteMexicoMexico
  2. 2.Systems Research InstitutePolish Academy of SciencesWarszawaPoland
  3. 3.St. Petersburg Institute for Informatics and AutomationRussian Academy of SciencesRussia
  4. 4.Computer Science DivisionUniversity of CaliforniaBerkeleyUSA
  5. 5.Institute of Problems of InformaticsAcademy of Sciences of TatarstanRussia

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-540-36244-9
  • Online ISBN 978-3-540-36247-0
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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