Two-sided stable matching model between selective operation patients and surgeons considering the priority of attributes
YUAN Duoning1, JIANG Yanping1, LIANG Haiming2
1. School of Business Administration, Northeastern University, Shenyang 110167, China; 2. School of Business, Sichuan University, Chengdu 610065, China
Abstract：Aiming to the two-sided matching problem between selective operation patients and surgeons, considering the priority of attributes, a novel decision-making method is proposed. In the method, firstly, the description and the definition of the two-sided matching problem between selective operation patients and surgeons are given. Then, according to the preference information of surgeons for different kinds of surgeries, the preference information of patients for surgeon and the expectation attributes of patients, the definitions of patient-surgeon individual rational matching scheme, the patient-surgeon stable blocking pair, the patient-surgeon stable matching scheme are given respectively. Furthermore, according to the prioritized information of attributes provided by patients, the prioritized weight of each attribute subset is calculated. The patients' satisfaction degrees are calculated, subsequently. Furthermore, a multi-objective optimization model for the patient-surgeon stable matching scheme is constructed. And an improved MOPSO algorithm is used to solve the model. At last, a practical example verifies the feasibility and effectiveness of the proposed method.
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2020, Vol. 40 
