针对基于不完全得分信息的双边匹配问题,提出了一种匹配决策方法。首先,将不完全得分信息转化为不完全满意度信息;其次,以每方主体满意度总和最大为目标,构建了双目标匹配模型;考虑到模型中系数已经规范化,运用线性加权法将双目标匹配模型转化为单目标模型,并通过模型求解获得匹配方案。最后,实例分析说明了所提方法的有效性。 Aiming at the bilateral matching problem based on incomplete score information, a matching decision method is proposed. First of all, incomplete score information is transformed into incomplete satisfaction information. Secondly, aiming at the goal of maximizing the satisfaction of each party, a dual-objective matching model is constructed. Taking into account that the coefficients in the model have been normalized, The matching model is transformed into a single-objective model, and the matching solution is obtained through solving the model. Finally, case analysis shows the effectiveness of the proposed method.