Forecast of regional logistics demand based on set pair analysis

Many factors may affect the demand of regional logistics. But we could not list all the factors and could not quantitatively analysis the influencing degree of each factor. In traditional forecast methods, many influence factors may be ignored or predigested, which may warp the forecasting result. Set pair clustering analysis may solve the problem of neglecting some influencing factors. In this paper, the historical GDP data of primary, secondary and tertiary industry in North-East China are listed. Based on the increasing rate of GDP data, volume of goods turnover in the coming years is forecasted. The result of empirical study proved that Set pair clustering analysis is reasonable and feasible.