Research of Vannamei Expert System Based on CBR and Grey AHP
Although the CBR(Case-based reasoning) model has been successfully adopted in various fields and well demonstrated in practice, its performance could still be further improved. This paper proposes a new method that combines CBR with Grey AHP to design the inference engine, which has been implemented in vannamei expert system. The method makes use of the groups method to calculate the synthetical weights of symptoms, then the hybrid reasoning is adopted to work out the diseases suffered and their probabilities, after that, backward reasoning is activated to obtain the details of the diseases and send them back to users. Finally, the cases satisfied by users would be recorded in the temporary case database automatically, waiting for the experts checking later. The experimental results show that the proposed method not only has a scientific theoretical foundation, but also a high practical value.
Grey AHP CBR Groups method Expert System
Hongchun Yuan Zhuo Mao Bo Zhao
College of Information Technology Shanghai Ocean University Shanghai, 201306, China School of Earth Science and Resources China University of Geosciences Beijing, 100083, China
国际会议
长沙
英文
2235-2238
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）