Title :
Modelling DGM(1,1) under the Criterion of the Minimization of Mean Absolute Percentage Error
Author :
Wu, Lifeng ; Wang, Yinao
Author_Institution :
Coll. of Math. & Inf. Sci., Wenzhou Univ., Wenzhou, China
fDate :
Nov. 30 2009-Dec. 1 2009
Abstract :
In this paper, we present linear programming method in order to estimate the parameters of the DGM(1,1) model under the criterion of the minimization of mean absolute percentage error (MAPE) (some authors called average relative error). A published article is chosen for practical tests of this method, the results show that this method can obviously improve the simulation accuracy.
Keywords :
grey systems; least mean squares methods; linear programming; minimisation; parameter estimation; DGM(1,1) modelling; average relative error; grey model; linear programming method; mean absolute percentage error minimization; parameters estimation; Electronic mail; Information science; Knowledge acquisition; Life estimation; Linear programming; Mathematical model; Mathematics; Minimization methods; Parameter estimation; Testing; 1) model; DGM model; GM(1; Mathematical Modelling; linear programming method; mean absolute percentage error;
Conference_Titel :
Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3888-4
DOI :
10.1109/KAM.2009.175
