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基于改进的逼近理想解排序法的物流业绩效评价 被引量:1

The Evaluation of Financial Performance for the Logistics Industry by Improved Topsis
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摘要 物流业作为新兴产业,是国民经济快速发展的基础性产业,但到目前为止,我国物流业有关绩效评价指标体系还未真正建立。该文采用改进的逼近理想解排序法对我国的物流业进行绩效评价。在绩效指标选取的过程中,采用灰色关联度与熵权法结合的方法对21项指标进行加权灰色关联度的计算,剔除与系统相关性较小的指标。随后引入相关系数对初选指标进一步进行筛选。最后采用改进的理想解法对50家物流上市公司进行综合评价及绩效排序,从中不难看出任何一个企业在同行业中的优势与劣势,并据此提出了相应的解决方案。 As a emerging industry,the logistics industry is the basic carrier of the national economy in the whole economic system,but the financial performance index system has not been established. In this paper, financial performance of logistics industry by improved topsis. In the evaluating problem, Weighted Grey Relational of 21 financial performance index in 50 logistics industry is the firstly calculated with Entropy Weight Method and Grey Relational Analysis. Secondly, after culling the smaller correlation index, to calculate the correlation coefficient is used to further select the indicators. Finally, by the improved topsis. financial performance of logistics industry are ranked,and thus a logistics industry can realize its finance competitive strength and weakness between logistics industry.
作者 王高媛
出处 《兰州财经大学学报》 2016年第4期86-93,共8页 Journal of Lanzhou University of Finance and Economics
关键词 物流行业 灰色关联分析法 熵权法 改进的TOPSIS logistics Grey Relational Analysis Entropy Weight Method improved TOPSIS
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