Grey system model with the fractional order accumulation

Abstract The perturbation theory of least squares method is applied to explain why the traditional accumulated generating operator violates the principle of new information priority of Grey system theory. A new Grey system model with the fractional order accumulation is put forward and the priority of new information can be better reflected when the accumulation order number becomes smaller in the in-sample model. But Grey system model cannot deal with the systems with memory when the accumulation order number is 0 in the in-sample model. The results of practical numerical examples demonstrate that the new Grey model provides very remarkable predication performance compared with the traditional Grey model for small sample.

[1]  Naiming Xie,et al.  On the properties of small sample of GM(1,1) model , 2009 .

[2]  Jing Zhao,et al.  Using a Grey model optimized by Differential Evolution algorithm to forecast the per capita annual net income of rural households in China , 2012 .

[3]  Diyar Akay,et al.  Grey prediction with rolling mechanism for electricity demand forecasting of Turkey , 2007 .

[4]  Chin-Tsai Lin,et al.  Forecast of the output value of Taiwan's opto-electronics industry using the Grey forecasting model , 2003 .

[5]  Chao Liu,et al.  Short-term prediction of wind power using EMD and chaotic theory , 2012 .

[6]  Okyay Kaynak,et al.  Single-step ahead prediction based on the principle of concatenation using grey predictors , 2009, 2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009).

[7]  Der-Chiang Li,et al.  Forecasting short-term electricity consumption using the adaptive grey-based approach—An Asian case , 2012 .

[8]  Li-Hui Chen,et al.  Forecasting financial crises for an enterprise by using the Grey Markov forecasting model , 2011 .

[9]  Xinxiu Li,et al.  Numerical solution of fractional differential equations using cubic B-spline wavelet collocation method , 2012 .

[10]  Ujjwal Kumar,et al.  Time series models (Grey-Markov, Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India , 2010 .

[11]  Zheng Shuai Research of Lifetime Prediction of Electronic Equipment Based on Grey Theory , 2009 .

[12]  Chiun-Sin Lin,et al.  Grey forecasting model for CO2 emissions: A Taiwan study , 2011 .

[13]  Sifeng Liu,et al.  An approach to increase prediction precision of GM(1, 1) model based on optimization of the initial condition , 2010, Expert Syst. Appl..

[14]  Bo-Suk Yang,et al.  Application of grey model for machine degradation prognostics , 2011 .

[15]  Yagang Zhang,et al.  GM(1,1) grey prediction of Lorenz chaotic system , 2009 .

[16]  J. Deng,et al.  Introduction to Grey system theory , 1989 .

[17]  Liu Si-feng,et al.  The GM models that x(n) be taken as initial value , 2004 .

[18]  Shuo-Pei Chen,et al.  Forecasting of foreign exchange rates of Taiwan’s major trading partners by novel nonlinear Grey Bernoulli model NGBM(1, 1) , 2008 .

[19]  Okyay Kaynak,et al.  Grey system theory-based models in time series prediction , 2010, Expert Syst. Appl..

[20]  Hexiang Liu,et al.  Analysis and prediction of hazard risks caused by tropical cyclones in Southern China with fuzzy mathematical and grey models , 2012 .

[21]  Luo Youxin Non-equidistant step by step optimum new information GM(1,1) and its application , 2010 .

[22]  Lee-Ing Tong,et al.  Forecasting energy consumption using a grey model improved by incorporating genetic programming , 2011 .

[23]  Gene H. Golub,et al.  Matrix computations (3rd ed.) , 1996 .

[24]  Sifeng Liu,et al.  Discrete grey forecasting model and its optimization , 2009 .

[25]  Shang-Ling Ou,et al.  Forecasting agricultural output with an improved grey forecasting model based on the genetic algorithm , 2012 .

[26]  S.-C. Chen,et al.  Improving inventory effectiveness in RFID-enabled global supply chain with Grey forecasting model , 2011, J. Strateg. Inf. Syst..

[27]  Yi Lin,et al.  Grey Systems: Theory and Applications , 2010 .

[28]  Tzu-Li Tien,et al.  A research on the grey prediction model GM(1, n) , 2012, Appl. Math. Comput..

[29]  Yan Wang,et al.  Fire detection model in Tibet based on grey-fuzzy neural network algorithm , 2011, Expert Syst. Appl..