[1]葛　巍,彭朝晖,徐　波,等.基于数据优化多属性决策的山区公路线路优选方法[J].郑州大学学报(工学版),2025,46(03):75-81.[doi:10.13705/j.issn.1671-6833.2024.06.020]
　GE Wei,PENG Zhaohui,XU Bo,et al.A Method for Optimizing Mountainous Highway Routes Based on Data Optimization Multi-attribute Decision Model[J].Journal of Zhengzhou University (Engineering Science),2025,46(03):75-81.[doi:10.13705/j.issn.1671-6833.2024.06.020]
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基于数据优化多属性决策的山区公路线路优选方法()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
46
期数:
2025年03期
页码:
75-81
栏目:
出版日期:
2025-05-13

文章信息/Info

Title:
A Method for Optimizing Mountainous Highway Routes Based on Data Optimization Multi-attribute Decision Model
文章编号:
1671-6833(2025)03-0075-07
作者:
葛　巍1;  彭朝晖2;  徐　波2;  刘　沐2;  王亚伟2;  张亚东1;  王思危1
1.郑州大学 水利与交通学院,河南 郑州 450001;2.中国水利水电第十一工程局有限公司,河南 郑州 450001
Author(s):
GE Wei1;  PENG Zhaohui2;  XU Bo2;  LIU Mu2;  WANG Yawei2;  ZHANG Yadong1;  WANG Siwei1
1.School of Water Conservancy and Transportation,Zhengzhou University, Zhengzhou 450001, China; 2.Sinohydro Bureau No.11 Co., Ltd., Zhengzhou 450001, China
关键词:
山区公路;  路线优选;  云模型;  变权理论;  多属性决策模型
Keywords:
mountainous highway;  route optimization;  cloud model;  variable weight theory;  multi-attribute decision model
分类号:
U412.32
DOI:
10.13705/j.issn.1671-6833.2024.06.020
文献标志码:
A
摘要:
山区公路线路优选存在评价指标复杂、定性指标难量化、主观设定的指标常权权重与工程实际不完全相符等问题。针对此,基于技术性、经济性和安全性的原则,参考霍尔三维结构对山区线路的影响因素进行分析,并构建了评价指标体系,引入云模型理论量化定性评价指标,考虑评价指标实际状态对评价结果的影响,采用变权理论修正评价指标常权权重,实现了对数据的优化,并基于多属性决策模型(TOPSIS)提出了一种山区公路线路优选方法。将理论研究成果应用于玻利维亚艾尔西亚公路项目四号风险点的线路方案比选中,结果表明:云模型能有效解决定性指标的不确定性导致其难以量化的问题;3个路线方案的贴近度分别为0.833,0.606,0.684,变权理论与传统常权权重相比在评估过程中更突出了极值指标对评价结果的影响,结果更贴合实际。
Abstract:
There are problems in the optimization of mountainous highway routes, including complex evaluation indicators, difficulty in quantifying qualitative indicators, and the weight of subjectively set indicators do not match the actual situation. In this study, based on the principles of technology, economy, and safety, the Hall three-dimensional structure was to analyzed to explore the influencing factors of mountainous highway routes, and to construct an evaluation index system. cloud model theory was introduced to quantify qualitative evaluation indicators, and the variable weight theory was used to modify the constant weight of evaluation indicators considering the impact of the actual state of evaluation indicators on the evaluation results. Finally, a method for optimizing mountainous highway routes based on TOPSIS was proposed. This method was applied to the optimization of routes for the fourth risk point of the Alcia Highway Project in Bolivia. The results indicated that cloud models could effectively solve the problem of uncertainty in qualitative indicators, which made them difficult to quantify. The closeness degree of the three route schemes was 0.833, 0.606, and 0.684, respectively. Compared with traditional constant weight, the variable weight theory highlighted the influence of extreme indicators on the evaluation results in the evaluation process, and the results were more realistic.

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更新日期/Last Update: 2025-05-22