A Final Price Prediction Model for online English Auctions ─ A Neuro Fuzzy Approach

DOI

https://doi.org/10.2991/jcis.2006.320How to use a DOI?

Keywords

English Aution, Neuro Fuzzy, Markov Chain, Regression, Neuro Network

Abstract

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.

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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  -