CAJ | 학술논문

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。
분석료장비유수신식적개념화조성，장조조집이론응용도장비유수신식처리중，결합신식적화호신식적정의，계정료일충신적속성중요도，병장기작위계발신식，제출료개진적기우속성중요도화호신식적속성약간산법，병통과대장비유수신식약간，진행료산법험증。실험결과표명：소제출적산법정도교고，득도적결과비교부합실제，능구위장비유수보장제공결책의거。
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.