Evaluating the Accuracy of Grey System Theory against Time Series in Predicting Online Auction Closing Price

摘要：

Online auctions have expanded rapidly over the last decade and have become a fascinating new type of business or commercial transaction in this digital era. Bidding in an online auction is always a very challenging task since we do not know the outcome of the bid until we are outbid or until the auction is closed. Knowing the closing price of a given auction would be an advantage since we can use this information to bid and win in a given auction. However, predicting the closing price of an auction is not a straightforward process. This paper reports on the prediction of online auction closing price using two well known theories namely the grey theory and the time series. The prediction accuracy and effectiveness for both models will be evaluated using a simulated auction environment.

作者: Deborah Lim Patricia Anthony Ho Chong Mun

会议类型: 国际会议

会议名称: 2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)

会议地点: 南京

会议语种:英文

在线出版日期: 2007-11-18（万方平台首次上网日期，不代表论文的发表时间）