基于熵权-TOPSIS法的货运航线网络设计研究
Research on Freight Route Network Design Based on Entropy Weight-TOPSIS
朱学松 1陈肯1
作者信息
- 1. 中国民用航空飞行学院 四川广汉 618307
- 折叠
摘要
本文提出了一种轴辐式货运航线网络设计的方法.运用聚类分析(K-Means)进行枢纽机场选址,以枢纽机场间多重连接的方式,建立无机场容量限制的轴辐式货运航线网络优化模型,运用枚举法求解最终得到一个较为合理的货运航线网络.其中为提高聚类精度,引入熵权-TOPSIS法对数据进行处理,通过对TOPSIS评价数据进行聚类得到精度较高的聚类结果,实验表明基于熵权-TOPSIS的聚类分析较传统的聚类分析降低了运输成本.
Abstract
The paper proposes the method of hub-and-spoke cargo route network design.Cluster analysis(K-Means)is used to select hub airports and multiple connections between hub airports are used to establish a hub-and-spoke cargo route network optimization model without airport capacity con-straints and enumeration is used to solve the problem to obtain a more reasonable cargo route network.In order to guarantee the clustering accuracy,the entropy weight-TOPSIS method is introduced to pro-cess the data and the clustering results with high accuracy are obtained by clustering the TOPSIS eval-uation data.The experiments show that the clustering analysis based on entropy weight-TOPSIS reduces the transportation cost compared with the traditional clustering analysis.
关键词
交通运输工程/航线网络设计/熵权-TOPSIS/K-Means聚类分析Key words
Traffic and transportation engineering/Airline network design/Entropy weight-TOPSIS/K-Means cluster analysis引用本文复制引用
基金项目
国家重点研发计划(2021YFF0603904)
中国民用航空局科教项目(0252138)
出版年
2024
NETL
NSTL
维普
万方数据