基于熵权TOPSIS模型的江苏省物流行业上市公司竞争力研究

Research on the Competitiveness of Listed Companies in Logistics Industry in Jiangsu Province Based on Entropy Weight TOPSISTOPSIS Model

文章选取了10家江苏省物流行业上市公司2020年的财务指标数据,首先通过灰度关联法对一级和二级指标的关联度进行测算,确保指标有效性,同时对指标数据进行无量纲化处理,再通过熵值法计算信息熵值与权重系数,最后通过该系数测算10家上市公司的综合得分并给出排名,并根据结果分析原因,提出相关建议。

This paper selects the financial index data of 10 listed companies in the logistics industry in Jiangsu Province in 2020. Firstly, the correlation degree of the primary and secondary indicators is calculated by the gray correlation method to ensure the effectiveness of the indicators. At the same time,the index data is dimensionless quantified, and then the information entropy and weight coefficient are calculated by the entropy method, finally, the comprehensive scores of 10 listed companies are calculated through this coefficient, and the ranking is given. According to the results, the reasons are analyzed and relevant suggestions are put forward.