中文摘要：

诊断类型的专家系统自发展以来一直是人工智能应用的一个非常重要的分支,尤其在医疗诊断领域.根据宠物狗疾病诊断的需求,设计出一个疾病诊断算法,结合相关的数据库,针对病症证据在获取时存在的不确定性,建立加权诊断算法和综合诊断算法,开发了基于Web及知识推理的宠物狗疾病诊断专家系统.该系统可以对宠物狗一般常见性疾病做出初诊,反馈表明,该诊断模型能较好地吻合临床诊断的结果.

英文摘要：

Since the development of the expert system, the expert system has been a very important branch of artificial intelligence, especially in the field of medical diagnosis. In this paper, according to the requirements of the pet dog disease diagnosis, a diagnosis algorithm was designed, combined with the related database, aiming at the uncertainty of the disease when obtaining evidence, weighted diagnostic algorithm and integrated algorithm were established, and then we developed pet dog disease diagnosis expert system based on Web and knowledge reasoning. The system can make the first visit to the dog ’s general common diseases, the feedback showed that the diagnostic model can better fit the results of the clinical diagnosis.