A Final Price Prediction Model for online English Auctions ─ A Neuro Fuzzy Approach
Chin-Shien Lin 0, Shihyu Chou, Chi-Hong Chen, Tai-Ru Ho, Yu-Chen Hsieh
0Department of Business Administration, National Chung Hsing
Available Online October 2006.
- https://doi.org/10.2991/jcis.2006.320How to use a DOI?
- English Aution, Neuro Fuzzy, Markov Chain, Regression, Neuro Network
- Markov Chain Model provides a concise mathematical model to describe the online English auction process, converting the complicated interaction between the bidders and auctioneer into a tractable mathematical problem, which is a milestone for researches involved in this area. However, the assumptions about the parameters are not consistent with the actual phenomena, for example, the distribution of the private values and the arrival rates. Furthermore it is hard to obtain the values of these parameters. In this paper, a hybrid method, neuro fuzzy, is proposed to predict the final price in addition to exploring the complicated, possibly nonlinear, relationship among the auction mechanisms and final price. The empirical results show that neuro fuzzy system can predict the final price accurately much better than the others, which is of great help for the buyers to avoid overpricing and for the sellers to facilitate the auction. Besides, the knowledge base obtained from neuro fuzzy provides the elaborative relationship among the variables, which can be further tested for theory building.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Chin-Shien Lin AU - Shihyu Chou AU - Chi-Hong Chen AU - Tai-Ru Ho AU - Yu-Chen Hsieh PY - 2006/10 DA - 2006/10 TI - A Final Price Prediction Model for online English Auctions ─ A Neuro Fuzzy Approach BT - 9th Joint International Conference on Information Sciences (JCIS-06) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/jcis.2006.320 DO - https://doi.org/10.2991/jcis.2006.320 ID - Lin2006/10 ER -