摘要
提出一种基于因果网络的诊断推理模型.该模型用因果网络表示诊断对象的领域知识,不仅能有效地表达知识的不确定性,更重要的是解决了知识的不完备问题.该模型的推理过程分为领域相关的环境集识别和领域无关的诊断解产生两个阶段,增加了算法的柔性和通用性.
A diagnostic reasoning mode based on causal network is proposed. In this model, the representation of the domain knowledge of diagnostic object by causal network not only shows the uncertainty of knowledge, but also solves the problem of the incompleteness of knowledge. The reasoning procedure is divided into two steps, the recognition of the environment set which is domain-dependent and the generation of diagnostic solution which is domain-independent. The algorithm is thus more flexible and general.
出处
《华中理工大学学报》
CSCD
北大核心
1993年第1期12-19,共8页
Journal of Huazhong University of Science and Technology
基金
国家自然科学基金资助项目
国家"八五"重点科技攻关项目
关键词
专家系统
因果网络
诊断推理模型
diagnostic reasoning
expert system
causal network
diagnostic model
