郑州大学学报（工学版）2025，Vol.46Issue(3)：75-81,7.DOI:10.13705/j.issn.1671-6833.2024.06.020
基于数据优化多属性决策的山区公路线路优选方法
A Method for Optimizing Mountainous Highway Routes Based on Data Optimization Multi-attribute Decision Model
摘要
Abstract
There are problems in the optimization of mountainous highway routes,including complex evaluation in-dicators,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-di-mensional structure was to analyzed to explore the influencing factors of mountainous highway routes,and to con-struct 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.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Key words
mountainous highway/route optimization/cloud model/variable weight theory/multi-attribute deci-sion model分类
交通运输引用本文复制引用
葛巍,彭朝晖,徐波,刘沐,王亚伟,张亚东,王思危..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(3):75-81,7.基金项目
国家自然科学基金资助项目(51379192) （51379192）
