混合直觉模糊偏好下的多指标人岗双边匹配——以A银行为例  

Person-Post Bilateral Matching Based on Hybrid Intuitionistic Fuzzy Preferences and Multiple Criteria—A Case Study of Bank A

作　　者：龚历菁 陶媛 乐琦 

机构地区：[1]上海工程技术大学管理学院,上海

出　　处：《运筹与模糊学》2023年第3期1469-1477,共9页Operations Research and Fuzziology

摘　　要：针对银行人岗双边匹配的问题,本文提出了混合直觉模糊偏好下的多指标人岗匹配方法。首先,给出三角直觉模糊数和梯形直觉模糊数的定义;然后描述多指标人岗匹配问题。为了求解该问题,使用去模糊化方法和TOPSIS法处理混合直觉模糊数,计算理想解的贴近度,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;通过求解该模型得到最优匹配方案。通过A银行员工和岗位匹配的算例分析证明所提方法的实用性和可行性。In view of the problem of bank person-postbilateral matching, this paper proposes a person-post matching method based on hybrid intuitionistic fuzzy preferences and multiple criteria. Firstly, the definitions on triangular intuitionistic fuzzy numbers and trapezoidal intuitionistic fuzzy numbers are given. Then a multi criteria person-post matching problem above is described. In order to solve this problem, the defuzzification method and TOPSIS method are applied for dealing with hybrid intuitionistic fuzzy numbers, and calculating the closeness degrees of the ideal solutions. 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. The optimal matching scheme is obtained by solving the model. A case study of person-post matching in Bank A is given to illustrate the practicability and feasibility of the proposed method.

关 键 词：多指标人岗匹配 混合直觉模糊偏好 满意度 优化模型 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]