Abstract
Forecasting methods have had successful applications in business. Nowadays the new theories of soft computing are used for these purposes. The applications in business have specific features in comparison with others. The forecasting plays very important roles especially in business because it helps to reduce costs that can lead to higher profits and to success in the competitive fight. There are various forecasting methods used: classical ones and methods using soft computing. There are especially the methods such as fuzzy logic, neural networks, evolutionary algorithms, and the theory of chaos.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aliev, A., Aliev, R.: Soft Computing and Its Applications, 444 p. World Scientific Pub., UK (2002)
Altroc, C.: Fuzzy Logic & Neurofuzzy—Applications in Business & Finance, 375 p. Prentice Hall, USA (1996) ISBN 0-13-591512-0
Azoff, E.M.: Neural Network Time Series Forecasting of Financial Markets, 196 p. John Wiley, USA (1994) ISBN 0-471-94356-8
Barnsley, M.F.: Fractals Everywhere, 531 p. Academic Press Professional, USA (1993) ISBN 0-12-079061-0
Bose, K., Liang, P.: Neural Networks. In: Fundamentals with Graphs, Algorithms and Applications, 478 p. McGraw-Hill, USA (1996) ISBN 0-07-114064-6
Davis, L.: Handbook of Genetic Algorithms, 385 p. Int. Thomson Com. Press, USA (1991) ISBN 1-850-32825-0
Dostál, P.: Advanced Decision Making in Business and Public Services, 168 p. CERM, Brno (2011) ISBN 978-80-7204-747-5
Dostál, P.: Advanced Economic Analyses, 80 p. VUT – FP – Brno (2008) ISBN 978-80-214-3564-3
Ehlers, F.J.: Cybernetic Analysis for Stock and Futures, 256 p. John Wiley, USA (2004) ISBN 0-471-46307-8
Fransws, P.H.: Time Series Models for Business and Economic Forecasting, 213 p. Cambridge University Press, UK (2001) ISBN 0-521-58641-0
Gately, E.: Neural Networks for Financial Forecasting, 169 p. John Wiley, USA (1996) ISBN 0-471-11212-7
Gleick, J.: Chaos, 330 p. Ando Publishing (1996) ISBN 80-86047-04-0
Hagan, T., Demuth, B.: Neural Network Design, 2nd edn., 702 p. PWS Publishing, USA (1996) ISBN 0-534-94332-2
Hanselman, D., Littlefield, B.: Mastering MATLAB 7, 852 p. Prentice Hall, USA (2005) ISBN 0-13-185714-2
Chen, G.: Controlling Chaos and Bifurcations in Engineering Systems, 648 p. CRC Press, China (2000) ISBN 978-3-44098-7
Chen, P., Jain, L., Tai, C.: Computational Economics: A Perspective from Computational Intelligence. Idea Group Publishing (2005) ISBN 1-591-406-498
Chen, S., Wang, P., Wen, T.: Computational Intelligence in Economics and Finance. Springer (2004) ISBN 978-3-540-72820-7
Chen, S., Wang, P., Wen, T.: Computational Intelligence in Economics and Finance, vol. II. Springer (2007) ISBN 978-3-540-72820-7
Kazabov, K., Kozma, R.: Neuro-Fuzzy—Techniques for Intelligent Information Systems, 427 p. Physica-Verlag, Germany (1998) ISBN 3-7908-1187-4
Klir, G.J., Yuan, B.: Fuzzy Sets and Fuzzy Logic, Theory and Applications, 279 p. Prentice Hall, New Jersey (1995) ISBN 0-13-101171-5
Li, Z., Halong, W.A., Chen, G.: Integration of Fuzzy Logic and Chaos Theory. Springer (2006) ISBN 3-540-26899-5
Peters, E.E.: Fractal Market Analysis—Applying Chaos Theory to Investment & Economics, 315 p. John Wiley, USA (1994) ISBN 0-471-58524-6
Peters, E.E.: Chaos and Order in the Capital Markets: A New View of Cycles, Prices, 274 p. Wiley Finance Edition, USA (1996) ISBN 0-471-13838-6
Trippi, R.R.: Chaos & Nonlinear Dynamics in the Financial Markets, 505 p. Irwin Professional Publishing, USA (1995) ISBN 1-55738-857-1
The MathWorks, MATLAB – User’s Guide, The MathWorks (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Dostál, P. (2013). The Use of Soft Computing Methods for Forecasting in Business, Their Applications in Practice. In: Zelinka, I., Rössler, O., Snášel, V., Abraham, A., Corchado, E. (eds) Nostradamus: Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems. Advances in Intelligent Systems and Computing, vol 192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33227-2_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-33227-2_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33226-5
Online ISBN: 978-3-642-33227-2
eBook Packages: EngineeringEngineering (R0)