The Community for Technology Leaders
2009 International Conference on Business Intelligence and Financial Engineering (2009)
Beijing, China
July 24, 2009 to July 26, 2009
ISBN: 978-0-7695-3705-4
pp: 210-214
ABSTRACT
In order to solve the problems that there is less valid information on the vehicle maintenance and the intelligent fault diagnosis system is inefficient with increasing the case base, based on Case Based Reasoning (CBR). Extenics is used in designing case base. Firstly, extension model and binary tree are used for the formal description, as the mode of knowledge representation. Secondly, extension reasoning is applied to extending the case base. Last, customers’ feedbacks with the new case are made use of maintaining the case base, to complete the machine learning. The extension case base is built to conveniently classify, retrieve and maintain the case. Thus, the efficiency and flexibility of the intelligent system is improved together.
INDEX TERMS
CBR, Extenics, Knowledge Representation, Extension Case Base
CITATION

H. Wang, G. Zhang, Z. Ni, J. Yan and D. Han, "Research and Design of Extension Case Base Based on CBR," 2009 International Conference on Business Intelligence and Financial Engineering(BIFE), Beijing, China, 2009, pp. 210-214.
doi:10.1109/BIFE.2009.57
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