Title :
Study on the Technique and Error Analysis of Nonlinear Combining Forecasts Based Fuzzy System
Author_Institution :
Res. Center of ITS, Shandong Jiaotong Univ., Jinan
Abstract :
A combination forecasting method based on fuzzy logical system is presented in this paper. The main idea of this method is that the nonlinear combination forecasting function Phi(x) can be simulated by Takagi Sugeno fuzzy model. Not only the difficulty of constructing Phi(x) is reduced, but also the predicted precise is improved by the new combination forecasting method.
Keywords :
approximation theory; combinatorial mathematics; fuzzy logic; nonlinear systems; Takagi Sugeno fuzzy model; error analysis; fuzzy logical system; nonlinear combination forecasting function; Approximation methods; Equations; Error analysis; Fuzzy logic; Fuzzy sets; Fuzzy systems; MIMO; Nonlinear systems; Predictive models; Technology forecasting; combination forecasting; fuzzy logical system; predicted precise;
Conference_Titel :
Electronic Computer Technology, 2009 International Conference on
Conference_Location :
Macau
Print_ISBN :
978-0-7695-3559-3
DOI :
10.1109/ICECT.2009.143
