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

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