Forecasting of Time Series with Fuzzy Logic

  • Petr Dostál
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 210)


There are different methods which can be used for the support of forecasting. Nowadays the new theories of soft computing are used for these purposes. There could be mentioned fuzzy logic, neural networks and some other methods. The aim of the paper is focused on the use of fuzzy logic for forecasting purposes. The advantage of the use of fuzzy logic is in processing imprecision, uncertainty, vagueness, semi-truth, or approximated and nonlinear data. The applications on the stock market have specific features in comparison with others. The processes are focused on private corporate attempts at money making; therefore, the details of applications, successful or not, are not published very often. The fuzzy logic helps in decentralization of decision-making processes to be standardized, reproduced, and documented, that is an important factor in the business field. It was proved by the tests in the practice that the presented case studies had their justness to be used as a support for a decision making on the stock market.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Alliev, A., Alliev, R.: Soft Computing and Its Applications. World Scientific Publishing, UK (2002)Google Scholar
  2. 2.
    Altrock, C.: Fuzzy Logic & Neurofuzzy -Applications in Business & Finance. Prentice Hall, USA (1996)Google Scholar
  3. 3.
    Dostál, P.: Advanced Decision Making in Business and Public Services. CERM, Brno (2011)Google Scholar
  4. 4.
    Dostál, P.: The use of soft computing methods for forecasting in business, their applications in practice. In: Zelinka, I., Snasel, V., Rössler, O.E., Abraham, A., Corchado, E.S. (eds.) Nostradamus: Mod. Meth. of Prediction, Modeling. AISC, vol. 192, pp. 49–60. Springer, Heidelberg (2013)Google Scholar
  5. 5.
    Chen, S., Wang, P., Wen, T.: Computational Intelligence in Economic and Finance. Springer (2004)Google Scholar
  6. 6.
    Chen, S., Wang, P., Wen, T.: Computational Intelligence in Economic and Finance, vol. II. Springer (2007)Google Scholar
  7. 7.
    Kazabov, K.: Neuro-Fuzzy – Techniques for Intelligent Information Systems. Physica-Verlag (1998)Google Scholar
  8. 8.
    Klir, G.J., Yuan, B.: Fuzzy Sets and Fuzzy Logic, Theory and Applications. Prentice Hall, New Jersey (1995)Google Scholar
  9. 9.
    Ribeiro, R., Yager, R.: Soft Computing in Financial Engineering. A Springer Verlag Company (1999)Google Scholar
  10. 10.
    Dostál, P.: The Use of Optimization Methods in Business and Public Services. In: Zelinka, I., Snasel, V., Abraham, A. (eds.) Handbook of Optimization. ISRL, vol. 38, pp. 717–777. Springer, Heidelberg (2013)Google Scholar
  11. 11.
    Dostál, P.: The Use of Soft Computing for Optimization in Business, Economics, and Finance. In: Vasant, P. (ed.) Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance,.IGI Globe, USA (2012)Google Scholar
  12. 12.
    Li, Z., Halong, W.A., Chen, G.: Integration of Fuzzy Logic and Chaos Theory. Springer (2006)Google Scholar
  13. 13.
    Peters, E.E.: Fractal Market Analysis—Applying Chaos Theory to Investment & Economics. John Wiley, USA (1994)Google Scholar
  14. 14.
    Peters, E.E.: Chaos and Order in the Capital Markets: A New View of Cycles, Prices. Wiley Finance Edition, USA (1996)Google Scholar
  15. 15.
    Trippi, R.R.: Chaos & Nonlinear Dynamics in the Financial Markets. Irwin Professional Publishing, USA (1995)Google Scholar
  16. 16.
    The Mathworks.MATLAB – User’s Guide, The MathWorks (2012) Google Scholar
  17. 17.
    The Mathworks. MATLAB – Fuzzy Logic Toolbox - User’s Guide, The MathWorks (2012) Google Scholar

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Petr Dostál
    • 1
  1. 1.Faculty of Business and Management, Institute of InformaticsBrno University of TechnologyBrnoCzech Republic

Personalised recommendations