Combination forecasting of fuzzy forecast

Authors:
Ji Ai-bing;Qiao Yan-hua;Qiu hong-jie
Affiliations:
Department of Medicine, Hebei University, P.R.China;Department of Medicine, Hebei University, P.R.China;Department of Medicine, Hebei University, P.R.China
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
Year:
2009

Citing 7
Cited 0

Fuzzy data analysis by possibilistic linear models

Fuzzy Sets and Systems - Fuzzy Numbers
Fuzzy least squares

Information Sciences: an International Journal
A practical approach to nonlinear fuzzy regression

SIAM Journal on Scientific and Statistical Computing
Evaluation of fuzzy linear regression models

Fuzzy Sets and Systems
Multiobjective fuzzy linear regression analysis for fuzzy input-output data

Fuzzy Sets and Systems
Fuzzy linear regression with fuzzy intervals

Fuzzy Sets and Systems
Fuzzy least-squares algorithms for interactive fuzzy linear regression models

Fuzzy Sets and Systems - Theme: Modeling and learning

Quantified Score

Hi-index	0.00

Visualization

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.