基于异构不完全偏好关系的双边匹配决策

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2017-11-01 DOI:10.1109/ISKE.2017.8258739

Zhen Zhang, Xinyue Kou, W. Yu

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引用次数: 2

摘要

双面匹配问题在人类的日常生活中广泛存在。研究了具有异构不完全偏好关系的双边匹配决策问题。为了获得两侧匹配对象之间的最优匹配，首先根据每个匹配对象对另一侧匹配对象的不完全模糊或乘法偏好关系导出优先级权重向量;基于优先级权重向量，计算每个匹配对象对另一侧匹配对象的满意度，在此基础上构建并求解双目标线性二元规划模型，确定最优匹配。最后，以员工-职位匹配为例说明了本文提出的方法。

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Two-sided matching decision making based on heterogeneous incomplete preference relations

Two-sided matching problems exist widely in human beings' daily life. In this paper, two-sided matching decision making problems with heterogeneous incomplete preference relations are investigated. In order to obtain the optimal matching between matching objects on both sides, the priority weight vectors are firstly derived from each matching object's incomplete fuzzy or multiplicative preference relation over matching objects on the other side. Based on the priority weight vector, each matching object's satisfaction degrees over matching objects on the other side are calculated, based on which a bi-objective linear binary programming model is constructed and solved to determine the optimal matching. Finally, an example for employee-position matching is provided to illustrate the proposed approach.

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2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)

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