Combination Forecasting of Fuzzy Forecast

Author

Ji Ai-bing ; Qiao Yan-hua ; Qiu Hong-jie

Author_Institution

Dept. of Med., Hebei Univ., Baoding, China

Volume

3

fYear

2009

fDate

14-16 Aug. 2009

Firstpage

262

Lastpage

266

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on

Conference_Location

Tianjin

Print_ISBN

978-0-7695-3735-1

Type

conf

DOI

10.1109/FSKD.2009.631

Filename

5358957