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
Baldwin J.F., Martin T.P., Rossiter J.M. (1998) Time series modelling and prediction using fuzzy trend information. Proc. Fifth Intern. Conf. Soft Comput. Inf./Intell. Syst., 499–502
Batyrshin I., Panova A. (2001) On granular description of dependencies. In: Proc. 9th Zittau Fuzzy Colloquium 2001, Zittau, Germany, 1–8
Batyrshin I. (2002) On granular derivatives and the solution of a granular initial value problem. Intern. J. Appl. Math. Comput. Sci. Special Issue on Computing with Words and Perceptions (ed. by D. Rutkowska, J. Kacprzyk, L.A. Zadeh), 12(3), 403–410
Batyrshin I. (2003) Perception based functions with boundary conditions. In: Proc. Third Conf. Eur. Soc. Fuzzy Logic Technol., EUSFLAT 2003, Zittau, Germany, 491–496
Batyrshin I.Z. (2004) On reconstruction of perception based functions with convex-concave patterns. Proc. Int. Conf. Comput. Intell. ICCI 2004, Nicosia, North Cyprus, Near East University Press, 30–34
Batyrshin I., Sheremetov L., Herrera-Avelar R. Perception based patterns in time series data mining. In this book.
Bowerman B.L., O’Connell R.T. (1979) Time series and forecasting. An Applied Approach. Duxbury Press. Massachusetts
Brown B.B. (1968) Delphi Process: A Methodology Used for the Elicitation of Opinion of Experts, P-3925, RAND Corp., Santa Monica, California
Gerstenfeld A. (1971) Technological forecasting. J. Business, 44(1), 10–18
Gordon T.J., Hayward H. (1968) Initial experiments with the cross-impact method of forecasting. Futures, 1(2), 100–116
Jang J.-S.R., Sun C.T., Mizutani E. (1997) Neuro-fuzzy and soft computing. A Computational Approach to Learning and Machine Intelligence. Prentice-Hall, NJ, USA
Klir G.J., Clair U.S., Yuan B. (1997) Fuzzy Set Theory: Foundations and Applications, Prentice-Hall, NJ, USA
13. Sigford, J.V., Parvin R.H. (1965) Project PATTERN: A methodology for determining relevance in complex decision making. - IEEE Transactions in Engineering Management, 12(1)
Zadeh L.A. (1997) Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic. Fuzzy Sets and Systems, 90, 111–127
Zadeh L.A. (1999) From computing with numbers to computing with words - from manipulation of measurements to manipulation of perceptions. IEEE Trans. Circuits Syst. 1: Fundamental Theory and Applications, 45, 105–119
Zadeh L.A. (2001) A new direction in AI: Toward a computational theory of perceptions. AI Mag., 73–84
Zadeh L.A. (2002) Toward a perception-based theory of probabilistic reasoning with imprecise probabilities. J. Stat. Plan. Inf. 105, 233–264
Zwicky F. (1962) Morphology of Propulsive Power. Monographs on Morphological Research, no 1. Society of Morphological Research, Pasadena, California
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Batyrshin, I., Sheremetov, L. (2007). Perception-Based Functions in Qualitative Forecasting. In: Batyrshin, I., Kacprzyk, J., Sheremetov, L., Zadeh, L.A. (eds) Perception-based Data Mining and Decision Making in Economics and Finance. Studies in Computational Intelligence, vol 36. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36247-0_4
Download citation
DOI: https://doi.org/10.1007/978-3-540-36247-0_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36244-9
Online ISBN: 978-3-540-36247-0
eBook Packages: EngineeringEngineering (R0)