摘要： 针对处理不完备信息系统时利用完备化方法会引起不同程度的知识失真等缺点，提出了一种不完备信息系统分解方法。该方法不需事先对系统进行完备化，而是基于粗糙集模板评价函数选择模板，利用模板逐层从不完备系统中提取完备子集。结合粗糙集理论来构造中间变量，依据中间变量分解不完备信息系统以简化规则集。对得到的规则集逐层进行推理和决策分析。以汽轮发电机组的振动故障诊断数据为实例给出了该方法的具体实现过程，验证了该算法在处理不完备信息系统时的有效性。

关键词: 粗糙集, 不完备信息系统, 分解, 故障诊断

Abstract: In order to extract rules from incomplete data system without information distortion, a decomposition approach in incomplete data system is proposed. The template is selected according to rough sets based template evaluating function, by which subset without missing values can be extracted from incomplete data step by step. The intermediate concept is developed based on rough set theory, with which the incomplete information system can be decomposed to simplify the rule set. The rule set obtained in this approach can make layered decision analysis more efficient. A real-world example of fault diagnosis on steam turbine is presented to illustrate the decomposition process, and the feasibility of this method in dealing with the incomplete data has been verified.

Key words: rough set, incomplete data system, decomposition, fault diagnosis

中图分类号: 

• TP18