Abstract: Based on intelligent platform, a new medical service model can effectively relieve the problem with which people see the doctor hardly. According to the actual problem of matching medical service supply and demand based on intelligent platform, a method considering psychological behaviors is proposed in this paper. In this method, the aspiration levels of bodies’ and the hesitant and uncertain psychological characteristics are considered. Firstly, the deviation degree of different criteria is calculated by comparing aspiration levels with evaluation information. Then, the satisfaction degree of medical service supplier and demander is calculated. On this basis, a multi-objective optimization model is developed to maximize the satisfaction degree of medical service supplier and demander. By solving the model, the optimal matching results can be obtained. Finally, an example shows the feasibility and effectiveness of the proposed method.

Key words: intelligent platform, medical service, psychological aspiration, hesitant fuzzy set

摘要： 基于智能平台的新兴医疗服务模式,可以有效缓解患者“看病难”问题。本文针对智能平台下医疗服务供需双方匹配的现实问题,提出了一种考虑主体心理行为的决策方法。在该方法中,考虑了医疗服务过程中主体的期望和犹豫不确定的心理特征。首先,比较双方主体在不同指标下的期望水平和评价信息之间的差距,计算得到双方差异度,并通过集结运算分别获得了双方满意度;在此基础上,分别以医疗服务供需双方的满意度最大为目标,构建了智能平台下医疗服务供需匹配的多目标优化模型,通过模型求解可得到最优匹配结果;最后,通过算例分析说明了本文提出方法的可行性和有效性。

关键词: 智能平台, 医疗服务, 心理期望, 犹豫模糊集