基于直觉模糊优化的车货双边公平匹配方法

doi:10.13196/j.cims.2023.05.025

计算机集成制造系统 ›› 2023, Vol. 29 ›› Issue (5): 1696-1707.DOI: 10.13196/j.cims.2023.05.025

基于直觉模糊优化的车货双边公平匹配方法

杨滨舟^1,2,3,叶欣扬⁴,王睿⁵,帅斌^1,2,3+

1.西南交通大学交通运输与物流学院
2.综合交通运输智能化国家地方联合工程实验室
3.综合交通大数据应用技术国家工程实验室
4.马萨诸塞大学阿默斯特分校土木与环境工程学院
5.中国民用航空飞行学院空中交通管理学院

出版日期:2023-05-31 发布日期:2023-06-15
基金资助:
国家自然科学基金资助项目(71572010)。

Method of vehicle-cargo matching considering fairness based on intuitionistic fuzzy optimization

YANG Binzhou^1,2,3,YE Xinyang⁴,WANG Rui⁵,SHUAI Bin^1,2,3+

1.School of Transportation and Logistics,Southwest Jiaotong University
2.National United Engineering Laboratory of Integrated and Intelligent Transportation
3.National Engineering Laboratory of Integrated Transportation Big Data Application Technology
4.School of Civil and Environmental Engineering,University of Massachusetts Amherst
5.School of Air Traffic Management,Civil Aviation Flight University of China

Online:2023-05-31 Published:2023-06-15
Supported by:
Project supported by the National Natural Science Foundation,China (No.71572010).

摘要/Abstract

摘要： 考虑车货匹配主体的匹配公平性,提出一种基于直觉模糊优化的匹配决策方法。首先,以匹配主体需求为导向建立指标体系,将指标划分为属性、期望和可靠性3类;其次,结合效用函数和直觉模糊集分别量化期望指标和可靠性指标的满意度,通过相邻目标相对优属度方法确定指标权重,得到匹配主体对潜在匹配对象的综合满意度值;再次,基于车货匹配现实约束,以匹配双方满意度最大为目标建立优化模型,借鉴直觉模糊相关知识对模型进行改造,为满足匹配公平性设定,设计交互式算法利用CPLEX求解;最后,针对典型线上配货算例,通过比较不同求解方法得到的不同最优车货匹配方案,证明所提方法的有效性。

关键词: 车货匹配, 直觉模糊集, 相邻目标相对优属度, 公平性

Abstract: Considering the fairness of the vehicle-cargo matching subject,a matching decision method based on intuitionistic fuzzy optimization was proposed.An indicator system was established based on the demand of vehicle-cargo matching subject,and the indicators were divided into three categories:attribute,expectation and reliability.The utility function and intuitionistic fuzzy set were used to quantify the satisfaction of expectation index and reliability index respectively,and then the index weight was determined by the relative superiority degree method of adjacent targets.Based on the realistic constraints of vehicle-cargo matching,an optimization model was established to maximize the overall satisfaction of the matching entities,then the intuitionistic fuzzy set related knowledge was used to transform the model,and an interactive algorithm was designed to solve the problem by using CPLEX to satisfy the matching fairness.Taking the typical online cargo distribution calculation example into consideration,the different optimal vehicle-cargo matching schemes solved by different methods were compared,which proved the effectiveness of the proposed method.

Key words: vehicle-cargo matching, intuitionistic fuzzy set, relative superiority degree of adjacent targets, fairness

中图分类号:

','1');return false;" target="_blank"> U492.3

杨滨舟, 叶欣扬, 王睿, 帅斌. 基于直觉模糊优化的车货双边公平匹配方法[J]. 计算机集成制造系统, 2023, 29(5): 1696-1707.

YANG Binzhou, YE Xinyang, WANG Rui, SHUAI Bin. Method of vehicle-cargo matching considering fairness based on intuitionistic fuzzy optimization[J]. Computer Integrated Manufacturing System, 2023, 29(5): 1696-1707.

[1]	刘利枚,龚尹励,曹文治,杨艺. 基于语言直觉模糊集的应急物流预案决策[J]. 计算机集成制造系统, 2021, 27(5): 1494-1505.
[2]	郭钧,朱文豪,杜百岗,李益兵,王磊,郭顺生. 考虑协同效应的复杂产品系统绿色供应商多阶段选择方法[J]. 计算机集成制造系统, 2020, 26(9): 2573-2589.
[3]	樊佳爽,余隋怀,初建杰,陈健,成方敏,任李金. 工业设计云服务平台下基于用户偏好的设计团队成员优选决策[J]. 计算机集成制造系统, 2019, 25(第11): 2863-2873.
[4]	杨强,李延来. 基于直觉模糊集的质量屋顾客需求优先度及灵敏度分析[J]. 计算机集成制造系统, 2018, 24(第4): 978-986.
[5]	贾兴洪,海峰,董瑞. 车货匹配双边平台单归属用户比率提升控制设计[J]. 计算机集成制造系统, 2017, 23(第4期): 903-912.
[6]	左冠丽,褚学宁,陈东萍,李玉鹏,冯涛. 基于直觉模糊信息公理的产品服务方案选优[J]. 计算机集成制造系统, 2015, 21(第4期): 1134-1141.
[7]	林晓华，冯毅雄+，谭建荣，安相华. 基于改进DEMATEL-VIKOR混合模型的产品概念方案评价[J]. , 2011, 17(12): 0-0.
[8]	曹永忠,，丁秋林，李斌. 基于公平性的服务流动态集成[J]. , 2008, 14(12): 0-0.

基于直觉模糊优化的车货双边公平匹配方法

Method of vehicle-cargo matching considering fairness based on intuitionistic fuzzy optimization

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 8

编辑推荐

Metrics