Multi-engine Animal Disease Diagnostic Expert System
Yan Jun-biao · Jisuanji gongcheng · 2008
The traditional disease diagnostic expert system only has a single reasoning process to use knowledge,so that its knowledge utilization is inefficient.Its conclusion has low accuracy and without contrast.This paper makes example of goat,modelings disease diagnostic knowledge base by the use of object-oriented knowledge representation.According to the training process and diagnostic model,it proposes the ideology of multi-engine ruling based on one knowledge base,multi-tract to operate knowledge,constructing the object-oriented weighted uncertain judgments and decisions basis on samples matching algorithm.Experimental results show that multi-engine diagnostic model can improve the utilization rate of data resources in knowledge base,improve the accuracy of diagnosis,increase the contrast.