2009 International Conference on Business Intelligence and Financial Engineering Research and Design of Extension Case Base Based on CBR Beijing, China July 24-July 26 ISBN: 978-0-7695-3705-4
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BIFE.2009.57
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:
Dan Han, Zhiwei Ni, Gongrang Zhang, Hongyu Wang, Jun Yan, "Research and Design of Extension Case Base Based on CBR," bife, pp.210-214, 2009 International Conference on Business Intelligence and Financial Engineering, 2009 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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