Online Multi-attribute Procurement Auction Mechanism Design and Multi-agent System Implementation

Study on present online auction shows that online multi-attribute procurement auction is still in an elementary stage of delivering information.Based on participant and incentive compatibility constraint of principle-agent theory,the paper proposes a multi-attribute procurement auction mechanism through improving multi-attribute decision-making general method.A multi-attribute rule is acquired by a negotiate mechanism in first stage,and then winner is decided based on the bidders information of weight and attribute value.In order to realize the theoretical framework in computer network,a multi-agent system method is introduced.Finally a simple two-dimensional attribute auction illustration is analyzed,results show that the present auction mechanism is an optimal auction which can improve the information exchange between tender and bidder,and the multi-agent system can enhance online auction efficacy.