基于C均值聚类下出租车资源配置的优化

Optimization of Resource Allocation Taxi Based on C-means Clustering

针对互联网时代出租车资源的配置,综合使用C均值聚类分析、隶属度函数、IDT创新扩散理论等方法,分别构建供求匹配度、供需均衡、双边市场等模型,使用MATLAB,SPSS,EXCEL等软件对"互联网+"时代出租车资源配置做出了合理的优化.

Aiming at the allocation of taxi resources in the Internet era,the use of C means clustering analysis,membership degree,IDT innovation diffusion theory,etc.,respectively builds the supply and demand matching,supply and demand balance,bilateral market and other models,using SPSS,EXCEL,MATLAB and other software on the ＇Internet ＋ ＇ era taxi resource allocation to make a reasonable optimization.