会议专题

The Pattern of Grey Fuzzy Forecasting with Feedback

The study on forecasting method has an important meaning for both theory investigation and practical application.Based on the theories of grey system and fuzzy recognition, the pattern of multi-objective and multi-dimensional grey fuzzy forecasting with feedback is presented in this paper.At first, according to the given weights, the weighting integrated value of samples is computed.Secondly, the method of fuzzy recognition with single index is employed to calculate the fuzzy classification of the integrated value.According to the cause analysis, the fuzzy classification of the integrated value is used to compute the weights of indexes.In a similar fashion, by repeating the above processes, the weighting integrated value and fuzzy classification with given accuracy are obtained at the same time.At last, the correlation coefficient between the weighting integrated values and forecasting objects is calculated by the processes of the principle of maximal relativity, optimization of the weighting integrated value of samples, establishment of the fuzzy forecasting pattern, and checking of the models precision.The model is applied to predict groundwater dynamic levels, and the mean forecast accuracy of test samples is 96.50%.

grey fuzzy forecast integrated value weight

LI Xi-can YU Tao WANG Xiao YUAN Zheng SHAO Xiao-dong

School of Information Science and Engineering,Shandong Agriculture University

国际会议

2011 IEEE International Conference on Grey System and Intelligent Services Joint with the 15th WOSC International Congress on Cybernetics and System(2011 IEEE灰色系统与智能服务国际会议暨系统与控制世界组织第15届年会)

南京

英文

217-221

2011-09-15(万方平台首次上网日期,不代表论文的发表时间)