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Knowledge-Empowered Automated Negotiation System for B2B e-Commerce
National Center of Sciences, Tokyo, Japan July 23-July 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CEC-EEE.2007.59The 9th IEEE International Conference ...
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Zhuang Yan, Simon Fong, Yan Pengfan, Shi Meilin, "Knowledge-Empowered Automated Negotiation System for B2B e-Commerce," E-Commerce Technology, IEEE International Conference on, and Enterprise Computing, E-Commerce, and E-Services, IEEE International Conference on, pp. 192-202, The 9th IEEE International Conference on E-Commerce Technology and The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services (CEC-EEE 2007), 2007.
 
 
BibTex
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@article{ 10.1109/CEC-EEE.2007.59,
author = {Zhuang Yan and Simon Fong and Yan Pengfan and Shi Meilin},
title = {Knowledge-Empowered Automated Negotiation System for B2B e-Commerce},
journal ={E-Commerce Technology, IEEE International Conference on, and Enterprise Computing, E-Commerce, and E-Services, IEEE International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2913-5},
pages = {192-202},
doi = {http://doi.ieeecomputersociety.org/10.1109/CEC-EEE.2007.59},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - E-Commerce Technology, IEEE International Conference on, and Enterprise Computing, E-Commerce, and E-Services, IEEE International Conference on
TI - Knowledge-Empowered Automated Negotiation System for B2B e-Commerce
SN - 0-7695-2913-5
SP192
EP202
A1 - Zhuang Yan,
A1 - Simon Fong,
A1 - Yan Pengfan,
A1 - Shi Meilin,
PY - 2007
KW - null
VL - 0
JA - E-Commerce Technology, IEEE International Conference on, and Enterprise Computing, E-Commerce, and E-Services, IEEE International Conference on
ER -
 
Zhuang Yan, University of Macau
Simon Fong, University of Macau
Yan Pengfan, University of Macau
Shi Meilin, Tsinghua University
This paper presents a knowledge empowered automated negotiation system for buyer-centric multi-bilateral multi-attribute e-Procurement. We propose two knowledge empowered models namely KERM and KACM. KERM is used for the buyer to determine a list of suppliers which are the best qualified candidates to negotiate with. KERM also allows the flexibility to assign appropriate weights, based on buyer?s interests, to each knowledge factor affecting the overall evaluation result of a quote. The resulted list of quotes of high rank is believed to produce satisfactory negotiation result for the buyer. KACM enables an automated concession process, while at the same time facilitates a flexible negotiation via the use of concept switch and tagged rules. KACM emphasizes the utilization of knowledge originated from the historical negotiation data in estimating and fine-tuning the negotiation parameters for improving the performance of automated negotiation. Our results show that the prototype makes significant improvement in the satisfaction level of negotiation results.
Citation:
Zhuang Yan, Simon Fong, Yan Pengfan, Shi Meilin, "Knowledge-Empowered Automated Negotiation System for B2B e-Commerce," cec-eee, pp.192-202, The 9th IEEE International Conference on E-Commerce Technology and The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services (CEC-EEE 2007), 2007
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