【摘要】 基于粗糙集知识约简、规则提取的优势和贝叶斯网络强大的推理能力,对决策表进行约简和提取决策规则获取节点关系、节点概率分布等信息,以获取的信息为基础建立贝叶斯网络模型。然后通过贝叶斯网络实现进行高效快速的推理和诊断。实例分析表明,该方法是可行有效的。更多还原

【Abstract】 Based on rough set knowledge reduction,rules extraction and the powerful bayesian Network reasoning ability,the reduction of the decision-making table and the extraction of decision rules help obtain such information as the relationship between nodes and the node probability distribution,thus establishing a bayesian network model.Next the bayesian network can be applied to realize fast and efficient reasoning and diagnosis.And the analysis of examples shows that this method is feasible and effective.更多还原