@inproceedings{c44da4669f82420db5690665dd917b97,
title = "Research on negotiation support system based on case-based reasoning",
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 representation, Case retrieval, Case-based learning, Case-based reasoning, Negotiation support system",
author = "Xue Han and Feng, \{Yu Qiang\}",
year = "2005",
doi = "10.1109/ICMLC.2005.1527428",
language = "英语",
isbn = "078039092X",
series = "2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005",
publisher = "IEEE Computer Society",
pages = "2850--2854",
booktitle = "2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005",
address = "美国",
note = "International Conference on Machine Learning and Cybernetics, ICMLC 2005 ; Conference date: 18-08-2005 Through 21-08-2005",
}