Title :
Research on negotiation support system based on case-based reasoning
Author :
Han, Xue ; Feng, Yu-qiang
Author_Institution :
Sch. of Manage., Harbin Inst. of Technol., China
Abstract :
In order to solving scarcity of negotiators´ corresponding knowledge, a new negotiation support system based on case-based reasoning (CBR) is proposed. The negotiation case representation, retrieval, reuse, evaluation, adaptation and learning are researched. In the system, a case attributes´ classification method with character of distinguishing attribute classification is brought forward in case representation. The improved nearest neighbors method is brought forward in case retrieval, all attributes of negotiation case are classified in the method so that the retrieved case is more similar to current negotiation. With analyzing the negotiation mechanism the framework of NSS based on CBR is built and detail functions of all subsystems are designed. Finally, a case of buying negotiation is used to validate the efficiency of the negotiation framework.
Keywords :
case-based reasoning; classification; learning (artificial intelligence); negotiation support systems; buying negotiation; case attributes classification; case retrieval; case-based learning; case-based reasoning; nearest neighbor; negotiation case representation; negotiation support system; Databases; Environmental economics; Information analysis; Information retrieval; Information systems; Information technology; Knowledge management; Man machine systems; Nearest neighbor searches; Technology management; Case-based reasoning; case representation; case retrieval; case-based learning; negotiation support system;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527428
