CAJ | 학술논문

粗糙集和证据理论对处理不确定信息极具优势，结合二者所长，提出一种融合两种算法的故障诊断方法。首先，通过粗糙集理论对冗余的条件属性进行必要约简，然后对约简后的条件属性计算基本概率赋值和规格化并进行DSmT合成，最后将以上方法应用在关于某型装备故障诊断中验证其有效性。
조조집화증거이론대처리불학정신식겁구우세，결합이자소장，제출일충융합량충산법적고장진단방법。수선，통과조조집이론대용여적조건속성진행필요약간，연후대약간후적조건속성계산기본개솔부치화규격화병진행DSmT합성，최후장이상방법응용재관우모형장비고장진단중험증기유효성。
Advantages of rough sets theory and evidence theory for processing uncertain information are combined to es-tablish one fusion approach of fault diagnosis based on the rough sets theory and dezert-smarandache theory .Firstly the a-bundant condition attribution is reduced through rough sets theory ,then evidence combining results of each reduced result are calculated through the basic probability assignment and normalized attribution significance .The diagnosis results are com-bined by DSmT combining equation .Finally the above method is applied to some equipment diagnosis to verify its effective-ness .