基于直觉模糊优化的双边匹配决策  

Intuitionistic Fuzzy Methods for Two-sided Matching Decision

作　　者：郭茜[1,2] 吴刚[1] 汪雅婷[3] GUO Qian;WU Gang;WANG Yating(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu,610031,China;National Engineering Laboratory of Integrated Transportation Big Data Application Tachnology,Southwest Jiaotong University,Chengdu,610031,China;School of Economics and Management,Southwest Jiaotong University,Chengdu,610031,China)

机构地区：[1]西南交通大学交通运输与物流学院,四川成都610031 [2]西南交通大学综合交通大数据应用技术国家工程实验室,四川成都610031 [3]西南交通大学经济管理学院,四川成都610031

出　　处：《工业工程》2020年第5期52-57,共6页Industrial Engineering Journal

基　　金：国家自然科学基金资助项目(71502147)。

摘　　要：为了实现不确定信息环境下的双边满意匹配,提出基于直觉模糊优化的匹配决策方法。利用直觉模糊集理论中隶属度和非隶属度的概念,将经典匹配决策模型中双目标函数转换为反映匹配双方总体满意度的单目标函数,模型中同时纳入公平性因素。通过设计交互式算法,在满足一定的公平性条件下实现总体满意度最大化。该算法为匹配决策过程注入了灵活性和协调性,具有一定的实用性和参考价值。To achieve a relatively satisfactory result for two-sided matching problem under uncertain environment,intuitionistic fuzzy methods are prpposed to solve the problem.By untilzing the concept of the membership degree and nonmembership degree in intuitionistic fuzzy set theory,double objective function in the classic matching model is converted into single objective function,which represents the total satisfaction of both sides.Fairness is also taken into consideration in this model.An interactive algorithm is designed to maximize the total satisfaction under certain fairness restraints.The algorithm incoperates fairness and harmony in matching decision-making process,and thus it has practicality and reference value.

关 键 词：匹配决策 直觉模糊集 交互式 公平性 

分 类 号：C931[经济管理—管理学]