基于Pythagorean模糊环境下MABAC方法的网络货运平台车货匹配研究  

Research on Vehicle-cargo Matching of Network Freight Platform Based on MABAC Method in Pythagorean Fuzzy Environment

作　　者：刘玲[1] 吴瑞东 马楠 夏露[1] LIU Ling;WU Rui-dong;MA Nan;XIA Lu(School of Logistics and Management Engineering,Yunnan University of Finance and Economics,Kunming,Yunnan 650221;Dehong Prefecture Company,Yunnan Tobacco Company,Mangshi,Yunnan 678400)

机构地区：[1]云南财经大学物流与管理工程学院,云南昆明650221 [2]云南省烟草公司德宏州公司,云南芒市678400

出　　处：《供应链管理》2024年第5期83-96,共14页SUPPLY CHAIN MANAGEMENT

基　　金：2018年国家自然科学基金地区科学基金项目“基于时间成本优化的面向订单制造企业生产与运输协同调度问题模型与算法研究”(71862034);2023年国家自然科学基金面上基金项目“云服务驱动的供应链平台治理机制形成及价值创造机理研究”(72372143);2023年云南省烟草公司德宏州烟草公司科技计划项目“绿色低碳卷烟分拣装箱及配送策略应用研究”(DHYCKJ202302)。

摘　　要：针对网络货运平台车货匹配过程中存在的平台间的价格战、卡车司机间的抢单、平台推荐匹配方案不合理问题,在Pythagorean模糊环境下采用MABAC(多属性边界近似区域比较)决策方法,在考虑货主特殊要求的同时对平台接收到的货物订单进行匹配。在考虑车主、货主、平台三方利益的前提下建立车货匹配评价指标体系;采用Pythagorean模糊数表示专家评价语言,采用反正切Pythagorean模糊熵计算指标权重和专家权重;依据MABAC方法对备选方案进行择优排序。In consideratun of the problems of price war among platforms,order grabbing among truck drivers and unreasonable platform recommendation matching scheme in the process of vehicle and cargo matching on network freight platform,the MABAC(Multi-Attribute Border Approximation Area Comparison)decision-making method is adopted to match vehicles and cargo under Pythagorean fuzzy environment,and the special requirements of shippers are considared.Firstly,the evaluation index system of vehicle and cargo matching was established under the premise of considering the interests of truck drivers,shippers and platforms.Secondly,Pythagorean fuzzy number was used to represent expert evaluation language,and arctangent entropy on Pythagorean fuzzy sets was used to calculate index weight and expert weight.Finally,the alternatives were sorted according to MABAC method.

关 键 词：车货匹配 Pythagorean模糊 反正切Pythagorean模糊熵 MABAC 

分 类 号：F252[经济管理—国民经济]