CAJ | 학술논문

　　针对模糊聚类方法中存在冗余信息的问题，提出一种融合粗糙集属性约简和模糊等价关系的故障诊断方法，通过应用粗糙集属性约简算法对冗余数据的处理后再应用模糊等价关系聚类获取聚类结果。该方法与单采用模糊等价关系聚类法相比，不仅能够有效减少模糊等价关系矩阵求解中的迭代次数，而且获得聚类数也得到有效降低，并通过实例验证了该方法的有效性和高效性。
　　침대모호취류방법중존재용여신식적문제，제출일충융합조조집속성약간화모호등개관계적고장진단방법，통과응용조조집속성약간산법대용여수거적처리후재응용모호등개관계취류획취취류결과。해방법여단채용모호등개관계취류법상비，불부능구유효감소모호등개관계구진구해중적질대차수，이차획득취류수야득도유효강저，병통과실례험증료해방법적유효성화고효성。
In order to process the abundant information in fuzzy clustering method, one fusion fault diagnosis method is pro-posed based on attribution reduction algorithm of rough set theory and fuzzy equal relationship clustering. The attribution reduc-tion algorithm is applied to reduce the redundant information, and then the fuzzy equal relationship clustering method is used to get the diagnosis clustering results. This method can not only effectively reduce the iteration numbers of calculating the fuzzy equal relationship matrix, but lower the clustering numbers comparing with the only fuzzy equal relationship clustering method. The examples are applied to test its validity and high efficiency.