一个先进的多属性决策模型,用于城市交通规划,基于复杂的直观模糊集,具有层次参数
Tmader Alballa1, Ali Asghar2, Talal Alharbi3
1Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia.
Scientific reports
|December 11, 2025
概括
交通拥堵需要可持续的城市交通解决方案. 一个新的复杂直觉模糊超软集 (CIFHSS) 模型优先考虑混合汽车共享计划,以实现高效的城市交通.
科学领域:
- 运营研究 运营研究
- 模糊的集合理论 模糊的集合理论
- 运输工程 运输工程
背景情况:
- 全球交通拥堵严重影响城市生活,造成延误,健康问题和经济损失.
- 开发可持续的运输系统对于人口密集地区至关重要.
- 数据的不精确性和不完整的信息在分析可持续运输因素方面带来了挑战.
研究的目的:
- 介绍和研究复杂的直觉模糊超软集 (CIFHSS) 的集合理论运算.
- 开发一种新的多属性决策 (MADM) 方法,使用CIFHSS解决城市交通拥堵问题.
- 评估和排名可持续的交通替代方案.
主要方法:
- 在CIFHSS框架内定义和探索基本的集合理论运算.
- 开发了一种MADM方法,包括决策值矩阵,CIFHSS评分框架和基于矩阵的聚合.
- 将算法应用于真实的城市交通拥堵场景.
主要成果:
- 基于CIFHSS的MADM模型评估了几个可持续的运输选择.
- 评分分为:电动巴士快速运输 (0.6161),扩展自行车道网络 (0.6089),轻轨运输 (0.6571) 和混合动力汽车共享计划 (0.7627).
- 混合动力汽车共享计划被确定为最合适的解决方案.
结论:
- 拟议的CIFHSS框架和MADM方法有效地解决了可持续运输中的复杂决策问题.
- 混合汽车共享计划成为减轻城市交通拥堵的最佳选择.
- 灵敏度分析证实了模型的稳定性,并概述了未来的研究方向.
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