Research and Design of Eztension Case Base Based on CBR

摘要：

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.

关键词： CBR Eztenics Knowledge Representation Eztension Case Base

作者: Dan Han Zhiwei Ni Gongrang Zhang Hongyu Wang Jun Yan

作者单位: School of Management, Hefei University of Technology Key Laboratory of Process Optimization and Intelligent Decision-making, Ministry of Education Hefei, 230009, China

会议类型: 国际会议

会议名称: The Second International Conference on Business Intelligence and Financial Engineering(BIFE 2009)(第二届商务智能与金融工程国际会议)

会议地点: 北京

会议语种:英文

页码: 210-214

在线出版日期: 2009-07-24（万方平台首次上网日期，不代表论文的发表时间）