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《山东大学学报(理学版)》 ›› 2024, Vol. 59 ›› Issue (9): 88-97.doi: 10.6040/j.issn.1671-9352.0.2023.153

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基于博弈论组合赋权-TOPSIS法的交通运输企业综合信用评价

吕安涛1(),高勇斌2,韩汶3,*(),董莹3,钟振方2,孟庆春2   

  1. 1. 山东公路技师学院，山东 济南 271100
    2. 山东大学管理学院，山东 济南 250100
    3. 山东省交通科学研究院，山东 济南 250031
  • 收稿日期:2023-04-13 出版日期:2024-09-20 发布日期:2024-10-10
  • 通讯作者: 韩汶 E-mail:lvantao@126.com;hanwen@sdjtky.cn
  • 作者简介:吕安涛(1972—)，男，研究员，博士，研究方向为交通运输规划、交通政策研究. E-mail：lvantao@126.com
  • 基金资助:
    基于一体化发展的山东省综合交通运输体制机制改革研究(2021B35);2021年度山东省交通运输厅科技计划项目

Comprehensive credit evaluation of transportation enterprises based on game theory combinatorial weighting-TOPSIS method

Antao LYU1(),Yongbin GAO2,Wen HAN3,*(),Ying DONG3,Zhenfang ZHONG2,Qingchun MENG2   

  1. 1. Shandong College of Highway Technician, Jinan 271100, Shandong, China
    2. School of Management, Shandong University, Jinan 250100, Shandong, China
    3. Shandong Transportation Research Institute, Jinan 250031, Shandong, China
  • Received:2023-04-13 Online:2024-09-20 Published:2024-10-10
  • Contact: Wen HAN E-mail:lvantao@126.com;hanwen@sdjtky.cn

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摘要：

首先, 从基本信息、奖励表彰、信誉考评及行政处罚四方面构建交通运输企业综合信用评价的指标体系；其次, 运用博弈论组合赋权法得到各指标权重，构建博弈论组合赋权-TOPSIS法的企业综合信用评价模型；最后, 以山东省交通运输企业的数据进行实验分析，得到信用评价结果。研究表明：各一级指标的权重由大到小的排序为行政处罚、奖励表彰、信誉考评、基本信息，表明有关部门要重点考核企业的行政处罚指标；信用评价结果与实际相符，验证了评价模型的合理性。

关键词: 综合信用评价, 交通运输企业, 优劣解距离法, 组合赋权

Abstract:

Firstly, the index system of comprehensive credit evaluation of transportation enterprises is constructed from four aspects: basic information, reward recognition, reputation assessment and administrative penalty. Secondly, the weights of each index are obtained by using game theory combination assignment method, and the comprehensive credit evaluation model of enterprises by game theory combination assignment-TOPSIS method is constructed. Finally, the data of transportation enterprises in Shandong Province are used for experimental analysis to obtain the credit evaluation results. The study shows that: the weighting of each first-level index is ranked as administrative penalty, award recognition, reputation assessment, basic information, indicating that the relevant departments should focus on assessing the administrative punishment index of enterprises; the credit evaluation results are consistent with the actual, which verifies the rationality of the evaluation model.

Key words: comprehensive credit evaluation, transportation enterprise, TOPSIS method, combined weighting

中图分类号: 

  • F506

表1

交通运输企业综合信用评价指标"

一级指标 二级指标 指标类型
基本信息A1 属性完整度B1 定量
奖励表彰A2 企业奖励B2 定性
从业人员奖励B3 定性
企业表彰B4 定性
从业人员表彰B5 定性
信誉考评A3 企业信誉考评B6 定性
从业人员信誉考评B7 定性
行政处罚A4 一般行政处罚B8 定性
严重行政处罚B9 定性

表2

定性指标打分标准"

指标 打分标准 分值
信誉考评 信誉考评为AA 5
信誉考评为A 4
信誉考评为B 3
信誉考评为C 2
信誉考评为D 1
行政处罚 行政拘留 6
暂扣或者吊销许可证、暂扣或者吊销执照 5
责令停产停业 4
没收违法所得、没收非法财物 3
罚款 2
警告 1
奖励表彰 国家级 4
省部级 3
地(市)级 2
区(县)级 1

表3

相邻指标间赋值表"

序号 rk赋值 相邻指标jk-1与jk的重要程度
1 1.0 相邻指标jk-1与jk具有相同重要程度
2 1.2 相邻指标jk-1比jk稍微重要
3 1.4 相邻指标jk-1比jk明显重要
4 1.6 相邻指标jk-1比jk强烈重要
5 1.8 相邻指标jk-1比jk极端重要
6 1.1、1.3、1.5、1.7 介于两者之间

图1

基于组合赋权-TOPSIS法的交通运输企业综合信用评价流程"

表4

交通运输企业信用评价指标数据"

企业代码 指标代码
B1 B2 B3 B4 B5 B6 B7 B8 B9
E1 0.85 0 0 0 0 2 10 12 23
E2 0.87 0 0 0 1 5 6 4 5
E3 0.90 0 0 0 0 3 9 10 6
E4 0.90 0 1 0 0 12 5 3 5
E5 0.93 1 0 0 1 4 5 2 0
E6 0.96 7 0 1 1 15 32 1 0

表5

企业综合信用评价指标权重结果"

序关系排序 指标 熵值法客观权重w1T 重要性之比 G1法主观权重w2T 组合权重w*
1 企业信誉考评 0.115 9 0.215 0 0.202 9
2 严重行政处罚 0.132 4 1.0 0.215 0 0.204 9
3 一般行政处罚 0.117 9 1.4 0.153 6 0.149 2
4 企业奖励 0.094 6 1.3 0.118 1 0.115 2
5 企业表彰 0.119 1 1.2 0.098 4 0.100 9
6 从业人员信誉考评 0.080 1 1.3 0.075 7 0.076 2
7 从业人员奖励 0.110 6 1.4 0.054 1 0.061 0
8 从业人员表彰 0.133 3 1.2 0.045 1 0.055 9
9 属性完整度 0.096 2 1.8 0.025 0 0.033 7

表6

交通运输企业信用评价排序结果"

企业代码 正理想解C+ 负理想解C- 相对贴进度Si 排序结果
E1 0.375 1 0.014 1 3.63 6
E2 0.247 7 0.207 0 45.53 4
E3 0.296 1 0.155 8 34.48 5
E4 0.194 0 0.262 6 57.50 2
E5 0.243 3 0.255 7 51.23 3
E6 0.061 0 0.372 8 85.94 1

图2

交通运输企业相对贴进度结果和各指标加权标准化数据的雷达图"

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