Two-sided Matching Decision Making Approach under Multi-type Heterogeneous Data Considering Different Priority Levels of Criteria

With respect to the two-sided matching decision making problems under multi-type heterogeneous data considering different priority levels of criteria, we propose a two-sided matching decision making method based on set pair analysis binary connection number and prioritized aggregation operator. Firstly, we propose an isomorphic method to transform multi-type heterogeneous data into binary connection numbers. Secondly, we define a binary connection number prioritized weighted geometric average (BCNPWG) operator. Thirdly, based on the BCNPWG operator, we develop a method to solve the two-sided matching decision making problems, in which the criterion values are multi-type heterogeneous data and the criteria have different priority levels. In this method, the multi-type heterogeneous data matching satisfaction degree matrices are transformed into binary connection number matching satisfaction degree matrices and the binary connection number matching satisfaction degrees are aggregated by using the BCNPWG operator to obtain the comprehensive