关键词: 失效模式与影响分析, 模糊粗糙数, 自动机&mdash, 层次分析法, 多准则妥协解排序法, 复杂网络

Abstract: Aiming at Failure Mode and Effects Analysis (FMEA) problems on product under uncertain circumstances,a novel integrated FMEA method which combined hybrid multi-attribute decision with correlative propagation analysis was proposed.To deal with fuzziness and uncertain evaluation information of experts from all stages' FMEA process effectively,fuzzy rough number in the form of interval was adapted to model in this method.Under the modeling framework,fuzzy rough analytic hierarchy process was used to construct risk factor importance pair-wise comparation matrix,which was then optimized and solved by automata algorithm to get importance weight vector of risk factors.Kullback-Leibler divergence was introduced to improve VlseKriterijumska Optimizacija-Komp-romisno Resenje (VIKOR) model,and the improved VIKOR model was used to compute risk priority number.By considering the correlative influence between failure modes,the correlative propagation complex networks of failures modes was constructed.Through computing complex network topology parameters such as correlative output degree,betweenness and clustering coefficient,the risk priority number was revised,so that risk level of failures modes was sorted afresh comprehensively.A case study of large scale gearbox special for metallurgical equipment was offered to illustrate the practicability and validation of the proposed method.

Key words: failure mode and effects analysis, fuzzy rough number, automata-analytical hierarchy process, vlsekriterijumska optimizacija-komp-romisno resenje, complex network