不确定系统的信息熵与知识化简

Analysis on Information Entropy and Knowledge Simplification of an Uncertain System

根据一个不确定系统的条件属性对决策结果产生的依赖关系,建立了基于信息熵和知识重要性对不确定系统的知识冗余分析的联系,得到了基于信息熵和基于Rough集理论对不确定系统的知识冗余分析概念的统一和方法的一致性重要结论,从信息熵的角度以统计概率的方法提出了不确定系统的知识冗余分析新的知识简化方法,应用实例验证了本文理论和方法的可行性和有效性.

The association of information entropy and knowledge significance with knowledge redundancy in an uncertain system is set up in this paper due to the decision dependence on condition attributes. It is concluded that proach to analyzing knowledge redundancy and knowledge simplification of an uncertain system is presented on information entropy. The theoretical analysis and the p method are validated by some examples.