Intermittent demand forecasting with fuzzy markov chain and multi aggregation prediction algorithm

作者: Ming Lei , Shalang Li , Qian Tan

DOI: 10.3233/JIFS-169174

关键词:

摘要:

参考文章(27)
Daniel Leite, Pyramo Costa, Fernando Gomide, Interval Approach for Evolving Granular System Modeling Springer, New York, NY. pp. 271- 300 ,(2012) , 10.1007/978-1-4419-8020-5_11
Weihui Deng, Guoyin Wang, Xuerui Zhang, A novel hybrid water quality time series prediction method based on cloud model and fuzzy forecasting Chemometrics and Intelligent Laboratory Systems. ,vol. 149, pp. 39- 49 ,(2015) , 10.1016/J.CHEMOLAB.2015.09.017
K Nikolopoulos, A A Syntetos, J E Boylan, F Petropoulos, V Assimakopoulos, An aggregate–disaggregate intermittent demand approach (ADIDA) to forecasting: an empirical proposition and analysis Journal of the Operational Research Society. ,vol. 62, pp. 544- 554 ,(2011) , 10.1057/JORS.2010.32
J. D. Croston, Stock Levels for Slow-Moving Items Journal of the Operational Research Society. ,vol. 25, pp. 123- 130 ,(1974) , 10.1057/JORS.1974.12
Woo-Joo Lee, Jinkyu Hong, A hybrid dynamic and fuzzy time series model for mid-term power load forecasting International Journal of Electrical Power & Energy Systems. ,vol. 64, pp. 1057- 1062 ,(2015) , 10.1016/J.IJEPES.2014.08.006
Nezih Altay, Frank Rudisill, Lewis A. Litteral, Adapting Wright’s modification of Holt’s method to forecasting intermittent demand International Journal of Production Economics. ,vol. 111, pp. 389- 408 ,(2008) , 10.1016/J.IJPE.2007.01.009
Mu-Yen Chen, Bo-Tsuen Chen, A hybrid fuzzy time series model based on granular computing for stock price forecasting Information Sciences. ,vol. 294, pp. 227- 241 ,(2015) , 10.1016/J.INS.2014.09.038
Özgür Kişi, None, Neural Networks and Wavelet Conjunction Model for Intermittent Streamflow Forecasting Journal of Hydrologic Engineering. ,vol. 14, pp. 773- 782 ,(2009) , 10.1061/(ASCE)HE.1943-5584.0000053
Steven Prestwich, Roberto Rossi, S. Armagan Tarim, Brahim Hnich, Mean-based error measures for intermittent demand forecasting International Journal of Production Research. ,vol. 52, pp. 6782- 6791 ,(2014) , 10.1080/00207543.2014.917771