Research On Two-sided Matching Model Based On Multiple Criteria Evaluation Information

In reality, there are many problems that a member from one group matches with one member or several members from another group through the intermediary organization (or not), for example, marriage problem, buying and selling commodities through e-broker, matching between workers and positions, and college admission problem and so on. In this background, analysis of the relative concept of two-sided matching and building its model are very important to solve these reality matching problems.Based on the relative theory and application analysis of two-sided matching, this paper mainly studies two problems:one is two-sided matching model based on multiple criteria information; the other is application of two-sided matching in venture capital. Two-sided matching model is analyzed from same criteria and different criteria between two sides. The main goal of the paper includes analyzing the literatures about two-sided matching as well as building the model of two-sided matching. The researching process follows the thought from shallow to deep and from theory to practice. The significance of the study lies:on one hand, to theoretically analyze the relative concept of two-sided matching; on the other hand, to construct two models of two-sided matching which provide the thought and guidance for enterprise and organizations practices.The paper finishes the work in the following four aspects:(1) Analyzing the concept and framework of two-sided matching. Firstly, concept of two-sided matching is given. And then, types and characteristics of two-sided matching are given. Finally, the principle, framework and steps of two-sided matching based on multiple criteria information are given. It lays a solid foundation for constructing the two-sided matching.(2) Constructing the two-sided matching model based on same criteria. Firstly, the problem description of two-sided matching based on same criteria is given. And then, satisfaction level with respect to each criterion is constructed when the criteria are linguistic terms and interval numbers. Finally, a multi-objective model based on total satisfaction level with respect to two sides is build, and the solution is also given. Numerical example shows the feasibility and effectiveness of the proposed model. Gale-Shapley algorithm and Hosptial-Resident algorithm just consider the order information of two sides, but this model takes linguistic terms and interval numbers into account to get the more precise matching results(3) Constructing two-sided matching model based on different criteria. Firstly, the problem description of two-sided matching based on different criteria is given. And then, satisfaction level of two sides is constructed. Finally, a multi-objective model based on two sides’ satisfaction level is built. The Gale-Shapley algorithm and Hosptial-Resident algorithm just consider the satisfaction level of one side, but this model considers the satisfaction level of two sides. Therefore it will benefit their cooperation.(4) Giving the application of two-sided matching in venture capital. The application of two-sided matching model based on different criteria in venture capital verifies the feasibility of the model. The results show the feasibility of the proposed model.By the end of the paper, the main findings and conclusions, major contribution and limitations and required work for further research are summarized.