Title :
Combination Forecasting of Fuzzy Forecast
Author :
Ji Ai-bing ; Qiao Yan-hua ; Qiu Hong-jie
Author_Institution :
Dept. of Med., Hebei Univ., Baoding, China
Abstract :
In this paper, we first give three kinds of model of fuzzy forecasting: fuzzy linear regression forecasting, quadratic polynomial fuzzy regression forecasting and fuzzy time series self-regression forecasting, then we introduce the combination forecasting of fuzzy forecast,and give two kind of combination forecasting of fuzzy forecast, one is the linear combination forecasting of fuzzy forecasting based on fuzzy least square, the another is the nonlinear combination forecasting of fuzzy forecast based on Choquet fuzzy integral.
Keywords :
forecasting theory; integral equations; least squares approximations; polynomial approximation; regression analysis; time series; Choquet fuzzy integral; fuzzy combination forecasting; fuzzy least square; fuzzy linear regression forecasting; fuzzy time series self-regression forecasting; linear combination forecasting; nonlinear combination forecasting; quadratic polynomial fuzzy regression; Earthquakes; Economic forecasting; Fuzzy systems; Least squares methods; Linear regression; Polynomials; Predictive models; Stock markets; Weather forecasting; Yttrium; Choquet fuzzy integral; Combination forecasting of fuzzy forecast; Fuzzy forecast; Fuzzy least square;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.631
