DocumentCode
2845657
Title
Research on application of multi-attribute auction based on fuzzy rough set
Author
Chen, Peiyou ; Zhang, Jing
Author_Institution
Coll. of Economic & Manage., Heilongjiang Inst. of Sci. & Technol., Harbin, China
fYear
2009
fDate
17-19 June 2009
Firstpage
6090
Lastpage
6094
Abstract
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.
Keywords
commerce; fuzzy set theory; rough set theory; fuzzy rough set; multi-attribute electronic auction; online auction; price-only auction; Consumer electronics; Decision making; Educational institutions; Fuzzy set theory; Fuzzy sets; Humans; Interference; Multidimensional systems; Power generation economics; Technology management; Fuzzy set Rough set Multi-attribute auction Reference point;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location
Guilin
Print_ISBN
978-1-4244-2722-2
Electronic_ISBN
978-1-4244-2723-9
Type
conf
DOI
10.1109/CCDC.2009.5195294
Filename
5195294
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