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First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)
Multi-Unit Auction Model Based on Loss Aversion
Adelaide, Australia
January 23-January 24
ISBN: 0-7695-3090-7
ASCII Text
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Guoqiang Xiong, Chunsheng Zhang, "Multi-Unit Auction Model Based on Loss Aversion," International Workshop on Knowledge Discovery and Data Mining, pp. 274-278, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008.
 
 
BibTex
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@article{ 10.1109/WKDD.2008.39,
author = {Guoqiang Xiong and Chunsheng Zhang},
title = {Multi-Unit Auction Model Based on Loss Aversion},
journal ={International Workshop on Knowledge Discovery and Data Mining},
volume = {0},
year = {2008},
isbn = {0-7695-3090-7},
pages = {274-278},
doi = {http://doi.ieeecomputersociety.org/10.1109/WKDD.2008.39},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - International Workshop on Knowledge Discovery and Data Mining
TI - Multi-Unit Auction Model Based on Loss Aversion
SN - 0-7695-3090-7
SP274
EP278
A1 - Guoqiang Xiong,
A1 - Chunsheng Zhang,
PY - 2008
VL - 0
JA - International Workshop on Knowledge Discovery and Data Mining
ER -
 
Based on the cost of internet auctions and the auctioneers' psychological loss aversion, we do a research on the decision-making of multiunit eauctions. The loss aversion psychology of auctioneers is drawn into the expected utility function model. Meantime, the function of the multiunit e-auctions, which reflects the multiunit e-auction of auctioneers' loss aversion, is established. Then an analysis of the static comparison is made to the influence of the loss aversion coefficient on the optimal length of auction, the number of optimal auction, as well as the prospective goal. Finally, several examples to analyze conclusions are given.
Citation:
Guoqiang Xiong, Chunsheng Zhang, "Multi-Unit Auction Model Based on Loss Aversion," wkdd, pp.274-278, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008
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