数据交易市场双边匹配模型与决策方法研究

针对平台视角下的数据交易供需双边匹配问题，基于双边匹配理论，提出了考虑模糊语言评价信息、区间数评价信息和0-1评价信息的混合型多属性匹配决策方法并定义了属性匹配满意度函数。以供需主体最大匹配满意度为目标，构建了数据交易供需双边匹配的多目标优化模型，并设计模型求解算法，将多目标化模型转化为单目标线性规划模型进行求解，以获取匹配结果。结果表明，通过对供需双方需求信息的详细分析，双边匹配结果能在最大程度上满足双方需求，同时，优化模型具有合理性及有效性。

A Fuzzy Decision Making Method with Hybrid Multi attribute fortwo sided Matching of Supply and Demand in Data Trading

Aiming at the two sided matching problem between suppliers and demanders in data trading under the perspective of platform is described.To solve the problem, a hybrid multiple attribute decision making method considering the fuzzy linguistic assessment information, interval number assessment information and 0-1assessment information based on two sided matching theory is proposed and the attribute matching satisfaction function is defined.On this basis, to maximize the matching degree of satisfaction of suppliers and demanders, a multi objective optimization model for the supply and demand matching in data trading is constructed and the model is designed by converting the multi objective optimization model into a single objective linear programming model with the use of algorithm.The results show that by analyzing the demand information given form suppliers and demanders in detail, two side demand can be met in the maximum extent by the result of two side matching , and the optimization model is feasible and available.