A Consistency-Driven Service Supply and Demand Two-Sided Matching Method of Considering Subjective and Objective Preference Information

Abstract

To ensure the reliability of the demand information provided by the matching subject of the service supply and demand two-sided matching problem and the diverse needs of different decision-makers for stable matching, this paper considers the service supply and demand two-sided matching problem by combining subjective and objective preference information, and proposes a Consistencybased analysis method. First, the realistic background and application scenarios of the problem are described. Then, according to the additive preference relationship (subjective preference information) and the multi-attribute matching decision matrix (objective preference information) given by the two-sided matching subjects, it is proposed to calculate the weights of the two-sided matching subjects on multiple attributes, and further, the feedback adjustment based on consistency is proposed. The method uses the IR and DR rules to adjust the multi-attribute matching decision matrix of the two-sided matching subject, and then builds a multi-objective satisfaction and stability-oriented matching optimization model, and solves it to obtain the corresponding optimal matching alternative. Finally, an example is given to prove the effectiveness and feasibility of the proposed method.