利用熵权-非整秩次加权秩和比法的铁路规划评价-《集美大学学报（自然科学版）》

文章信息/Info

Title:: Study on Railway Planning Evaluation Based on Entropy Weight-Non-Integral Rank Weighted Rank Sum Ratio Model

Author(s):: LI Zimu; TANG Huiyi; LIU Xiaojia; Navigation College,Jimei University,Xiamen 361021,China

Keywords:: railway planning; non-integral rank weighted rank sum ratio; entropy method; comprehensive decision-making

摘要:: 为了加快区域经济一体化协调发展，更好地评价长三角地区铁路线路发展，选择重要度较高的铁路线路。基于加权秩和比法和熵权法，提出熵权-非整秩次加权秩和比法铁路规划优选模型。运用熵值法确定线路规划评价指标，利用非整秩次加权秩和比法对规划线路评价指标进行处理，再利用SPSS软件拟合曲线，最后进行重要度排序与分档，得到评价结果。通过分析得到，铁路规划重要度高低次序为Y4、Y1、Y6、Y2、Y3、Y5、Y8、Y7、Y9。对比非整秩次加权秩和比法、传统加权秩和比法与熵权优劣解距离法（technique for order preference by similarity to ideal solution,TOPSIS）评价结果，非整秩次加权秩和比法体现了原始数据顺位间的差距，比传统加权秩和比法与熵权TOPSIS法评价结果更客观。

Abstract:: In order to deepen the research on coordinated development of regional economic integration,better evaluate the development of railway lines in Yangtze River Delta,and the railway lines with high importance were selected.Based on the weighted rank sum ratio model and the entropy weight model,an entropy weight-non-integral rank weighted rank sum ratio railway planning optimum selection model was put forward. Firstly,the evaluation indexes of line planning were determined by using the method of entropy,then the evaluation indexes of line planning were processed by non-integral rank weighted rank sum ratio model,and the curves were fitted by SPSS software.Finally,the importance degree was ranked and classified to get the evaluation results. It was obtained that the order of importance of railway planning is Y4,Y1,Y6,Y2,Y3,Y5,Y8,Y7 and Y9.Comparing with the evaluation results of non-integral rank weighted rank sum ratio model,traditional weighted rank sum ratio model and entropy weighted technique for order preference by similarity to ideal solution (TOPSIS） model,the non-integral rank weighted rank sum ratio method reflects the difference between the ranks of original data,and is more objective than traditional weighted rank sum ratio model and entropy weighted TOPSIS model.