基于粗糙集的装备维修信息属性约简算法

分析了装备维修信息的概念和组成,将粗糙集理论应用到装备维修信息处理中,结合信息熵和互信息的定义,界定了一种新的属性重要度,并将其作为启发信息,提出了改进的基于属性重要度和互信息的属性约简算法,并通过对装备维修信息约简,进行了算法验证。实验结果表明:所提出的算法精度较高,得到的结果比较符合实际,能够为装备维修保障提供决策依据。

Attribute Reduction Arithmetic of Equipment Maintenance Data Based on Rough Set

This paper expounds the concepts and makeup of equipment maintenance data, applies the the- ory of rough set into the processing of equipment maintenance information, and defines a new attribute importance degree, which is used as heuristic information, combining with mutual information and infor- mation entropy. Then, it puts forward an improved method of attribute reduction based on attribute impor- tance degree and mutual information, and the arithmetic is validated through reduction of equipment ma- intenance data. The experiment results prove that the arithmetic is more accurate and the results obtained accord much more with actual situations, which can provide decision-making basis for equipment mainte- nance support.