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诊断树推理网络是人工智能—专家系统中的一种方法,我们的工作有以下三个问题:1.生成树是采用聚类分析方法进行反向生成,和应用诊断学方法进行正向生成;2.节点分类法(器)是采用特征法,和模糊信息法相结合进行分类(疾病诊断)。疾病就是信息源,疾病信息(节点特征)集合X包括症状、体征、检验等,X对于疾病A;是隶属于还是非隶属于的程度是模糊的。所以,疾病信息对于疾病分
Diagnostic tree reasoning network is a method in the artificial intelligence-expert system. Our work has the following three problems: 1. The spanning tree is generated by using the cluster analysis method in the reverse direction, and applying the diagnostic method for forward generation; 2. The nodal classification method uses feature method and fuzzy information method to classify (disease diagnosis). Disease is the source of information, and the set of disease information (node characteristics) X includes symptoms, signs, tests, etc. X is diseased, and the extent to which X is affiliated or unaffiliated is ambiguous. Therefore, disease information for disease points