基于灰色理论对公交第三方支付盈利的预测

The third-party bus payment profit forecast based on the grey theory

针对公交第三方支付平台盈利情况,运用了层次聚类分析、小波周期理论、灰色预测、回归分析以及时间序列等方法,构建了基于EVIEWS和SPSS的聚类模型,基于小波周期探查的灰色预测模型,基于第三方支付方式的利润回归模型及盈利的时间序列等模型,综合运用MATLAB,EVIEWS,SPSS等软件编程求解,结合实际给出可以增加第三方支付公司盈利的可行性方案建议.

Aiming at the profit situation of the third-party payment platform for public transport,using the methods of hierarchical clustering analysis,wavelet cycle theory,grey prediction,regression analysis and time series to construct the clustering model based on EVIEWS and SPSS,grey prediction model based on wavelet cycle exploration,profit regression model based on third-party payment mode and the time series model of profit.By using the software of MATLAB,EVIEWS,SPSS to solve the problem comprehensively,and combining with the actual situation,gives the feasible proposal to increase the third-party payment company′s profit.