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| 1 | Combined model based on optimized multi-variable grey model and multiple linear regression显示文摘The construction method of background value is improved in the original multi-variable grey model (MGM(1,m)) from its source of construction errors.The MGM(1,m) with optimized background value is used to eliminate the random fluctuations or errors of the observational data of all variables,and the combined prediction model together with the multiple linear regression is established in order to improve the simulation and prediction accuracy of the combined model.Finally,a combined model of the MGM(1,2) with optimized background value and the binary linear regression is constructed by an example.The results show that the model has good effects for simulation and prediction. | Pingping Xiong Yaoguo Dang Xianghua wu Xuemei Li | 2011 | Journal of Systems Engineering and Electronics2011，22，4： | 10 |
| 2 | Comprehensive optimized GM(1,1) model and application for short term forecasting of Chinese energy consumption and production显示文摘In order to improve prediction accuracy of the grey prediction model and forecast China energy consumption and production in a short term, this paper proposes a novel comprehensively optimized GM(1,1) model, also named COGM(1,1),based on the grey modeling mechanism. First, the relationship of the background value formula and its whitenization equation is analyzed and a new method optimizing background values is proposed to eliminate systemic errors in the modeling process.Second, the solving process of the new model is derived. For parameter estimation, a set of auxiliary parameters are used to change grey equation's form. Then, original parameters are restored by an equations system. After solving the whitenization equation, initial value in time response function is established by least errors criteria. Finally, a numerical case and comparison with other grey prediction models are made to testify the new model's effectiveness, and the computational results show that the COGM(1,1) model has a better property and achieves higher precision. The new model is used to forecast China energy consumption and production, and the ability of energy self-sufficiency is further analyzed. Results indicate that gaps between consumption and production in future are predicted to decline. | Ning Xu Yaoguo Dang Jie Cui | 2015 | Journal of Systems Engineering and Electronics2015，26，4： | 8 |
| 3 | Improved unequal interval grey model and its applications显示文摘A new method to improve prediction precision of GM(1,1) model with unequal time interval is presented.The grey derivative is multiplied by a parameter to guarantee the time response function satisfying approximately exponential function distribution.To simplify the process of parametric estimation,an approximate value is taken for the multiplied parameter.Then the estimators of coefficient of development and grey action quantity can be derived.At the same time,the principle of the new information priority is also considered.We take the last item of the first-order accumulated generation operator(1-AGO) on raw data sequence as the initial condition in the time response function.Then the new information can be taken full advantage of through the improved initial condition.Some properties of this new model are also discussed.The presented method is actually a combination of improvement of grey derivative and improvement of the initial condition.The results of an example indicate that the proposed method can improve prediction precision prominently. | Yuhong Wang Yaoguo Dang Xujin Pu | 2011 | Journal of Systems Engineering and Electronics2011，22，3： | 5 |
| 4 | Study on the extending multi-attribute decision model of grey target显示文摘Based on the distance of interval numbers and the two-stage decision methods,this paper expands the decision model of grey target into some situation under which the decision information and target weights are the interval numbers at the same time.It also gives the optimization method of weights in the grey target.We get the optimum coordinated vector utilizing the combination assigning method,based on the local optimization of various schemes.So it can shift the weights of interval number into real number form and sequence it according to the weighted off-target distance.Finally the effectiveness and practicality of the model is proved by a real project. | Wang Zhengxin Dang Yaoguo Wei Jing Yang Hu | 2009 | Journal of Systems Engineering and Electronics2009，20，5： | 4 |
| 5 | An approach to increase prediction precision of GM(1,1) model based on optimization of the initial condition显示文摘 | Yuhong Wang Yaoguo Dang Yueqing Li Sifeng Liu | 2010 | Expert Systems With Applications2010，，8： | 2 |
| 6 | Technical change and the funds of science and technology,kyberbetes显示文摘 | LIU Sifeng DANG Yaoguo | 2004 | The International Journal of System and Cybernetics2004，33，2： | 1 |
| 7 | The Study of Grey Synthetic Decision Appraisal Model显示文摘 | Dang yaoguo liu sifeng and Ping Xueliang | 2003 | ICCIE2003，，： | 1 |
| 8 | The Choice and Mathematical Model of Leading Industries in Jiangsu Province显示文摘 | Yaoguo Dang Sifeng Liu Jing Zhou | 2005 | China-USA Business Review2005，4，7： | 1 |
| 9 | Analysis of the regional coordination development systems based on GRA and GM (1, N)显示文摘 | Li Qiuteng Dang Yaoguo Wang Zhengxin | 2012 | Journal of Grey System2012，24，1： | 1 |
| 10 | The Optimization of Time Response Function in Non-Equidistant Verhulst Model显示文摘 | Xiong Pingping Dang Yaoguo Qian Wuyong | 2010 | The Journal of Grey System2010，22，3： | 1 |
| 11 | The models that be taken as initial value显示文摘 | Dang Yaoguo Liu Sifeng Chen Kejia | 2004 | Kybemetes2004，33，2： | 1 |
| 12 | The Optimization of time Response Function in Non-equidistant Verhulst Model 显示文摘 | Xiong Pingping Dang Yaoguo Qian Wuyong | 2010 | The Jour- nal of Grey System2010，22，3： | 1 |
| 13 | An approach to in- crease prediction precision of GM( 1,1 ) model based on optimization of the initial condition 显示文摘 | Wang Yuhong Dang Yaoguo Li Yueqing | 2010 | Expert Systems with Applications2010，37，8： | 1 |
| 14 | The GM models that x(n) be taken as initial value显示文摘 | Dang Yaoguo Liu Sifeng Chen Kejia | 2004 | Ky- bernetes2004，33，2： | 1 |
| 15 | An approach to increase prediction precision of GM (1,1) model based on optimization of the initial condition显示文摘 | Wang Yuhong Dang Yaoguo Li Yueqing | 2010 | Expert Systems with Applications2010，37，8： | 1 |
| 16 | An approach to increase prediction precision of GM(1,1) model based on optimization of the initial condition显示文摘 | WANG Yuhong DANG Yaoguo LI Yueqing | 2010 | Expert Systems with Applications2010，37，8： | 1 |
| 17 | Improved unequal interval grey model and its applications显示文摘 | Wang Yuhong Dang Yaoguo Pu Xujin | | 0，，03： | 1 |
| 18 | The op- timization of time response function in non-equidistant Verhulst model 显示文摘 | Xiong Pingping Dang Yaoguo Qian Wuyong | 2010 | The Journal of Grey System2010，22，3： | 1 |
| 19 | Study on the op- timal replacement policy for a deteriarative repairable system 显示文摘 | Jia Jishen Liu Sifeng Dang Yaoguo | 2006 | System Engineering-Theory MethodologyApplications2006，28，1： | 1 |
| 20 | The Optimization of Time Response Function in Non-Equidistant Verhulst Model显示文摘 | Xiong Pingping Dang Yaoguo Qian Wuyong | 2010 | The Journal of Grey System2010，22，3： | 1 |
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