Fuzzy Sets and Systems
Information Sciences: an International Journal
Multiple-issue auction and market algorithms for the World W0ide Web
Decision Support Systems
Fuzzy Sets and Systems
An experimental analysis of multi-attribute auctions
Decision Support Systems
Winner Determination Algorithms for Electronic Auctions: A Framework Design
EC-WEB '02 Proceedings of the Third International Conference on E-Commerce and Web Technologies
Information Sciences—Informatics and Computer Science: An International Journal
A multi-criteria model for electronic auctions
Proceedings of the 2004 ACM symposium on Applied computing
| Hi-index | 0.02 |
Online auction has been popular increasingly in the modern world, and most commodities could be sold by the online auction, which could save time and energy. The main auction method is Price-Only auction, which only negotiation on price. In fact, buyers always take quality, delivery time, terms of payment and other non-price attributes into consideration when they take part in the auction. Therefore multi-attribute auction is an extension of the traditional auction mechanism, which considering other attributes in addition to the price of the item on negotiation. And it is essential to determine attributes weights, which are important to decide the winner during the auction, but it is also difficult. So the paper proposes the method of fuzzy rough set to calculate attributes' weights, in order to reduce the inaccuracy cased by human interference and improve operation speed. And then the weights are applied on multi-attribute electronic auction on the basis of reference point. Finally, it takes second-hand car auction for example to illustrate the effectiveness of the method, which is used for reference developing second-hand commodity electronic auction.