[1] BAO Y K,ZOU H,LIU Z T.Forecasting intermittent demand by fuzzy support vector machines[C]//Lecture Notes in Artificial Intelligence,Berlin:Springer-Verlag, 2006:1080-1089.

[5] HUANG L,WANG H W.Forecasting stock market movement direction with support vector machine[J].Compu-ters & Operations Research,2005,32(10):2513-2522.

[7] RAJASHREE K K,PAKKALA T P M.A Bayesian approach to a dynamic inventory model under an unknown demand distribution[J].Computers & Operations Research, 2002(29):403-422.

[8] EAVESL A H C,KINGSMAN B G.Forecasting for the ordering and stock-holding of spare parts[J].Journal of the Operational Research Society,2004(55):431-437.

[9] WILLEMAIN T R,SMART C N,SCHWARZ H F.A new approach to forecasting intermittent demand for service parts inventories[J].International Journal of Forecasting, 2004(20):375-387.

[15] ZHOU M L.Principles and practice of similarity system theory[J].International Journal of General Systems, 1994,23(1):39-48.