论文信息 - Multi-variable grey forecast based on TOPSIS method

Multi-variable grey forecast based on TOPSIS method

Grey forecast has been widely used in many areas for the characteristics of few data and poor information by differential equation of accumulated generation series. In the forecast process of grey model, different number of variables can produce forecast results with different precision. This paper selects variables to forecast with TOPSIS method, which takes different affect factors as plans and converts time factors to attributes. Case studies show that TOPSIS method can be used to variables choice to produce good forecast results.

Lei Zhou | Hongqi Hui | Hongqi Hui | Lei Zhou

[1] Wann-Yih Wu,et al. A prediction method using the grey model GMC(1, n) combined with the grey relational analysis: a case study on Internet access population forecast , 2005, Appl. Math. Comput..

[2] E. Stanley Lee,et al. An extension of TOPSIS for group decision making , 2007, Math. Comput. Model..

[3] Hongqi Hui,et al. PUBLIC TRANSIT PASSENGER QUANTITY FORECAST BASED ON IMPROVED MULTI-VARIABLE GREY SELF-ADAPTIVE MODEL , 2009 .

[4] Hongqi Hui,et al. Garment E-Commerce Forecast Based on Grey Model , 2009, 2009 First International Conference on Information Science and Engineering.

[5] Xinrui Zhang,et al. Application of Multi-Variable Grey Self-Adaptable Model in the Demand Forecasting Of Road Passenger Transportation , 2009 .

[6] Hong-Qi Hui,et al. Multi-variable grey model and application based on synthetic integrated factors , 2009, 2009 International Conference on Machine Learning and Cybernetics.

[7] Zheng Jing. Decision theory and method on feasibility on the upward fully mechanized mining of the left-over coal above gob area mined with caving method , 2010 .