不确定信息的模糊决策融合算法

针对不确定性问题,提出了一种新的基于知识发现的信息融合的方法·利用模糊决策树的ID3算法对测试空间中的大量不确定多源信息数据进行综合分析、处理,建立准确的评估模型,提取隐含其中的规则,最终获取新的知识·此方法已成功应用于吉林丰满水电数字仿真系统中的考核系统·实验证明,这种知识提取方法充分体现了信息融合中解决多源信息数据的思想,能很好地解决系统中数据存在的无序、不确定问题,并能有效地提取出规则·

Fusion Algorithm for Uncertain Information by Fuzzy Decision Tree

Aiming at acquiring new knowledge, the new method takes advantage of the ID3 algorithm of fuzzy decision tree to analyze and process comprehensively numerous multi-source information data in test space, then develops an accurate evaluation model and extracts its implied rules. The method has successfully been applied to the examination system of a numerical simulation system in Fengman Hydropower Station, Jilin. Experimental results indicated that such a method for knowledge extraction represents the information fusion idea, that is solving the question of multi-source data, and highly efficient in processing numerous disorderly and uncertain data.