A Matching Approach for One-shot Multi-attribute Exchanges with Incomplete Weight Information in E-brokerage

Electronic brokerages (E-brokerages) are Internet-based organizations that enable buyers and sellers to do business with each other. While E-brokerage has become a significant sector of E-commerce, theory and guidelines for matching the multi-attribute exchange in E-brokerage are sparse. This paper proposes a matching approach to optimize the trade matching in one-shot multi-attribute exchanges with incomplete weight information. Firstly, the new definition of matching degree from both buyers’ and sellers’ points of view in multi-attribute exchanges is presented. Secondly, based on the definition of matching degree and the representation of incomplete weight information, a bi-objective optimization model is built to maximize the matching degree and trading volume. Then, according to the characteristics of the model which belongs to a class of multi-objective mixed 0-1 integer quadratic programming models, the ideal point method is used to solve it. Finally, an example is employed to illustrate the application of the proposed matching approach.