基于混合模糊多指标的医疗服务匹配决策方法
Medical-Service Matching Decision Method Based on Hybrid Fuzzy and Multiple Criteria
摘要: 为了合理地配置医疗资源和提高医疗服务的效率，本文提出了运用混合模糊多指标进行医疗服务匹配的方法。给出三角直觉模糊数和毕达哥拉斯模糊数的定义；描述多指标双边匹配决策问题；使用TOPSIS法处理三角直觉模糊数和毕达哥拉斯模糊数，计算贴近度，将其线性加权后得到满意度；考虑双边匹配的稳定性约束条件，构建多目标优化模型，求解得到使患者和医生满意度最大化的匹配方案。通过算例分析证明所提方法的实用性和可行性。
Abstract: In order to rationally allocate medical resources and improve the efficiency of medical services, this paper proposes a medical-service matching decision method based on hybrid fuzzy and multiple criteria. Firstly, the definitions on triangular fuzzy numbers and pythagorean fuzzy numbers are given. Secondly, a multi criteria two-sided matching problem above is described. Then TOPSIS method is applied for dealing with triangular fuzzy numbers and pythagorean fuzzy numbers, and calculating the closeness degrees. The closeness degrees are linearly weighted to obtain satisfaction degrees. Further, considering the stability constraints matching of the two-sided matching scheme, a multi-objective optimization model is constructed to obtain the matching scheme that can maximum the satisfaction degree of patients and doctors. An example is given to illustrate the practicability and feasibility of the proposed method.
文章引用：龚历菁, 乐琦. 基于混合模糊多指标的医疗服务匹配决策方法[J]. 运筹与模糊学, 2023, 13(2): 900-908. https://doi.org/10.12677/ORF.2023.132093

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