传统的物流企业大多是劳动密集型企业,但是随着科学技术的进步,传统的物流企业必须向科技企业进行转型.本文用灰色关联分析和TOPSIS方法对上市物流企业的创新绩效进行了评价,通过熵值法分析了不同企业在不同指标的表现的差异性及权重,分析了各个指标和最优值的关联度,以及两种评价体系下各个企业的表现,根据两种方法对物流上市企业的创新绩效进行了综合评价并提出了一种综合排名方法,形成了同时考虑两种方法的综合排名的结果.%Traditional logistics enterprises are mostly labor-intensive enterprises, but with the progress of science and tech-nology, the traditional logistics enterprises must transform to the technology enterprises. This paper uses grey relational analysis and TOPSIS method to evaluate the innovation performance of listed logistcs. Firstly the differences in different weights and indicators of the performance of different enterprises are analyzed by entropy method, then we analyze the correlation degree of each index and the optimal value, and the two companies under the performance evaluation system, according to the two methods of logistics and the innovation performance of the listed enterprises carry out a comprehensive evaluation and put forward a comprehensive ranking method, and eventually form a comprehensive consideration of the results of two methods of ranking.
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