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Prediction model of interval grey number based on DGM(1,1)
作者姓名:Bo Zeng  Sifeng Liu  Naiming Xie
作者单位:Bo Zeng(College of Business Planning,Chongqing Technology and Business University,Chongqing 400067,P.R.China;College of Economics and Management,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,P.R.China);Sifeng Liu,Naiming Xie(College of Economics and Management,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,P.R.China) 
基金项目:This work was supported by the National Natural Science Foundation of China (70840012; 90924022) and the Ph.D. Thesis Innovation and Excellent Foundation of Nanjing University of Aeronautics and Astronautics (2010).
摘    要:

关 键 词:灰色预测模型  灰色系统理论  区间灰数  副总经理  实数序列  数字序列  灰预测模型  几何特征

Prediction model of interval grey number based on DGM(1,1)
Bo Zeng,Sifeng Liu,Naiming Xie.Prediction model of interval grey number based on DGM(1,1)[J].Journal of Systems Engineering and Electronics,2010,21(4):598-603.
Authors:Bo Zeng  Sifeng Liu  Naiming Xie
Institution:1. College of Business Planning,Chongqing Technology and Business University,Chongqing 400067,P.R.China;College of Economics and Management,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,P.R.China
2. College of Economics and Management,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,P.R.China
Abstract:In grey system theory, the studies in the field of grey prediction model are focused on real number sequences, rather than grey number ones. Hereby, a prediction model based on interval grey number sequences is proposed. By mining the geometric features of interval grey number sequences on a two-dimensional surface, all the interval grey numbers are converted into real numbers by means of certain algorithm, and then the prediction model is established based on those real number sequences. The entire process avoids the algebraic operations of grey number, and the prediction problem of interval grey number is usefully solved. Ultimately, through an example’s program simulation, the validity and practicability of this novel model are verified.
Keywords:grey system theory  prediction model  interval grey number  grey number band  grey number layer  DGM(1  1) model
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