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.