基于组合加权-灰色关联TOPSIS模型的公路施工企业信用评价

Xu Zhang, Qingcheng Zeng
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引用次数: 0

摘要

为了促进公路建设行业的信用发展,本文通过关联判别分析建立了公路建设企业信用评价指标体系,构建了组合权重灰色关联TOPSIS信用评价模型,采用聚类方法对信用等级进行划分,并以170家公路建设企业为例进行实证研究。研究结果表明,良好行为信息是影响公路施工企业信用的主要因素。该信用评价模型具有良好的准确性和可信度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Credit Evaluation of the Highway Construction Enterprises Based on the Combination Weighting-Grey Correlation TOPSIS Model
In order to promote the credit development of highway construction industry, this paper establishes a credit evaluation index system for highway construction enterprises through correlation-discrimination analysis, constructs the Combination weight-Grey Correlation TOPSIS credit evaluation model, uses the clustering method to divide the credit rating, and takes 170 highway construction enterprises as an example for empirical research. The results show that good behavior information is the main factor affecting the credit of highway construction enterprises. The credit evaluation model has good accuracy and credibility.
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