Design of online intelligent multi-attribute reverse auction mechanism and system implementation
Zhu G
Abstract
Zhu G
Abstract
Compared with procurers,bidders have a natural information advantage on subject matters. Therefore,an incentive compatibility multi-attribute auction winner mechanism is proposed to set multi-attribute's weights. According to multi-agent system design idea,an intelligent online multiattribute reverse auction simulation system is developed independently. During the process of multiple bidders' bidding for multiple attributes,the system realizes automatic auction by an intelligent agent's optimal weight search algorithm,and implements online intelligent multi-attribute procurement auction with the objection of maximizing actual utility of procurer by setting procurer preference.
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Compared with procurers,bidders have a natural information advantage on subject matters. Therefore,an incentive compatibility multi-attribute auction winner mechanism is proposed to set multi-attribute's weights. According to multi-agent system design idea,an intelligent online multiattribute reverse auction simulation system is developed independently. During the process of multiple bidders' bidding for multiple attributes,the system realizes automatic auction by an intelligent agent's optimal weight search algorithm,and implements online intelligent multi-attribute procurement auction with the objection of maximizing actual utility of procurer by setting procurer preference.
Key concepts: Bidding, Computer science, Auction theory, Reverse auction, Vickrey–Clarke–Groves auction, Incentive compatibility, Ebidding, Incentive