电子中介中具有模糊信息的多属性商品交易匹配方法研究

Optimal Matching for Multi-attribute Exchanges With Fuzzy Information in E-brokerage

以电子中介中买卖双方单数量同类商品交易为实际应用背景,研究了具有模糊信息的多属性商品交易优化匹配方法。首先,在给出模糊信息数学描述的基础上,从买卖双方视角提出了新的基于改进模糊信息公理的交易匹配度计算方法,由于该方法在计算中充分考虑了模糊信息情形下买卖双方对商品需求的满意程度,因而由其计算得到的交易匹配度更具有合理性和现实意义。接着,以最大化买卖双方交易匹配度为优化目标,建立了电子中介中具有模糊信息的单数量多属性商品交易匹配模型,并通过模型的求解获得最优的匹配结果。实例计算研究表明,本文提出的匹配方法是可行和实用的。

This paper investigates an optimal matching approach for the multi-attribute exchanges with fuzzy information which trade a single unit of the same commodity.First,we propose a new calculation method of matching degree,based on the improved fuzzy information axiom from both buyers＇and sellers＇points of view.Since the satisfactions of buyers and sellers are considered,this method can obtain more reasonable and realistic matching degree.Second,a mathematic model is built to maximize the matching degree of buyers and sellers in multiple attributes.By solving the model,the trade matching results can be achieved.Finally,a numerical example is given to illustrate the feasibility and practicality of the proposed matching approach.