摘要
针对车货主体双方处于复杂不确定环境的情形,考虑以犹豫模糊语言术语集(HFLTSs)来表达车货双方对彼此的信赖评价信息。提出一种基于HFLTSs的双边匹配方法。将指标分为属性指标、期望指标和信赖指标。由效用函数刻画期望指标的满意度,由犹豫模糊多准则决策方法刻画信赖指标的满意度,对其归一化处理后再集结期望指标满意度,最终刻画出总体满意。为解决传统双边匹配模型化为单目标陷入局部最优的问题,构建基于匹配意愿的改进车货双边匹配优化模型。最后,通过一个具体案例证明该方法的可行性和实际性。
In view of the situation that the vehicle and cargo parties are in a complex and uncertain environment,we consider to express the trust evaluation information of the vehicle and cargo parties to each other with hesitant fuzzy language terms sets(HFLTSs).A bilateral matching method based on HFLTSs is proposed.The indicators are divided into attribute indicators,expectation indicators and trust indicators.The utility function is used to describe the satisfaction degree of the expectation index;The satisfaction degree of the trust index is characterized by the hesitant fuzzy multi criteria decision-making method,and the satisfaction degree of the expectation index is aggregated after its normalization to finally depict the overall satisfaction degree.In order to solve the problem that the traditional bilateral matching model is converted into a single objective and falls into local optimization,an improved vehicle cargo bilateral matching optimization model based on matching willingness is constructed.Finally,a specific case proves the feasibility and practicality of this method.
作者
刘江涛
曾鑫鑫
LIU Jiangtao;ZENG Xinxin(School of Economics and Management,Chongqing Jiaotong University,Chongqing 400074,China;Joint Training Base for Engineering Management Postgraduates of Chongqing Jiaotong University Chongqing Changan Minsheng Logistics Co.,Ltd,Chongqing 400074,China)
出处
《综合运输》
2023年第9期140-147,共8页
China Transportation Review
基金
天津市教委科研计划项目(2021SK039)
天津市教委科研计划专项任务项目(2020ZXXL-GX01G)。
关键词
犹豫模糊语言术语集
车货匹配
匹配意愿
归一化
Terminology set of hesitant fuzzy language
Vehicle cargo matching
Matching willingness
Normalization
