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针对现有双边匹配决策要求主体给出另一方全体偏好序信息的条件过于苛刻的问题,提出一种新的匹配方法.一方主体先两两比较另一方全体成员,给出直觉模糊集形式的评价值并由全体成员评价值组成直觉模糊偏好关系;然后,通过改进的最小对数二乘法对其进行转化,间接得到主体满意度;进一步以双方主体满意度最大为目标,同时考虑稳定匹配约束条件,建立单目标优化模型并求解获得匹配方案;最后,通过算例分析表明了所提出方法的可操作性和有效性.
Aiming at the problem that the existing bilateral matching decision requires that the conditions of the whole preference preference information of the other party are too harsh, a new matching method is proposed, in which one party first compares the other members of the other pair one by one to give an assessment of intuitionistic fuzzy set form The value of which is composed of the intuitionistic fuzzy preference relationships of all the members. Then, it is transformed through the improved least-square-logarithm method to get the satisfaction of the subject indirectly. With the goal of maximizing the satisfaction of both parties, the stability matching constraint , Establish a single objective optimization model and solve the matching solution. Finally, the example shows that the proposed method is feasible and effective.