Knowledge-empowered automated negotiation system for B2B e-commerce
Yan Z.1; Fong S.1; Pengfan Y.1; Meilin S.2
Source PublicationProceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007
AbstractThis 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. © 2007 IEEE.
KeywordAgent technology Automated negotiation B2B e-commerce
URLView the original
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Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Universidade de Macau
2.Tsinghua University
Recommended Citation
GB/T 7714
Yan Z.,Fong S.,Pengfan Y.,et al. Knowledge-empowered automated negotiation system for B2B e-commerce[C],2007:149-156.
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