基于灰色模糊聚类分析的城乡道路客运一体化区域发展研究

Research on gray fuzzy clustering based urban and rural road passenger transport integration

为使城乡道路客运区域一体化划分的发展区域更能结合各地区的交通和经济特征,本文提出了基于灰色模糊聚类分析的区域划分模型的理论方法与思路,通过双层规划模型将改进的灰色关联分析方法和聚类分析方法结合起来,并运用MATLAB编程对该方法进行实例研究,验证了该算法的可行性。本研究的分区结果表明,灰色模糊聚类分析法克服了传统的灰色关联算法和聚类分析方法自身的不足,可以为今后城乡道路客运一体化区域发展的政策制定提供参考。

This paper presents gray fuzzy clustering model based theory and idea to make the development area of division of urban and rural road passenger transport integration suitable for local traffic and economic characteristics, We combine grey association analysis method and clustering analysis method together through an improved bi-level programming model. We perform case study with MATLAB to verify its feasibility, Division results demonstrate that gray fuzzy clustering method can compensate the disadvantages of traditional grey association analysis method and clustering analysis method and can provide reference for policy enactment of urban and rural road passenger transport integration reqional development.