Abstract: A matching decision-making method is proposed to solve the dynamic two-sided matching decision-making problem with preference information. Firstly, the dynamic two-sided matching problem with preference information is described. Then, the preference information is changed into the satisfaction degrees by using the generalized optimum ordering approach. Furthermore, the weight determination method based on the exponential decay model is given, and the satisfaction degrees are aggregated into collective satisfaction degree. On this basis, a matching optimization model is constructed, the optimal matching result can be obtained by solving the model. Finally, it illustrates the effectiveness and practicality of the proposed method by an example of the matching between venture capitalists and venture enterprises.

Key words: dynamic two-sided matching, generalized optimum ordering approach, time-series weight, optimization model

摘要： 针对主体给出偏好信息的动态双边匹配问题，提出了一种匹配决策方法。给出了基于偏好信息的动态双边匹配问题的描述；依据广义优序法将双边主体给出的偏好信息转化为满意度；给出了指数衰减模型确定时序权重的方法，进而将满意度集成为综合满意度；在此基础上，通过建立并求解优化模型，得出最优匹配方案；以风险投资商与风险企业的匹配实例说明了所提决策方法的有效性和实用性。

关键词: 动态双边匹配, 广义优序法, 时序权重, 优化模型