A Reliability Allocation Method for Meta-action of Mechanical Products Considering Double Uncertainty
A reliability allocation method that considered both cognitive uncertainty and random uncertainty was proposed to address the problems of uncertainty in expert evaluation in meta-action reliability allocation.The mechanical products were reasonably decomposed by using the hierarchical method of function-motion-action(FMA)to obtain the basic motion type(meta-action)of the prod-ucts.The experts were grouped and evaluated by probabilistic linguistic term set(PLTS)to reduce the random uncertainty of the experts'evaluations.The combined evaluation results of the experts in each group were used as the evidences for the inference.And according to the evidence fusion theory to syn-thesize all experts'information and reduce the influences of experts'cognitive uncertainty.The weight value of each meta-action was calculated,and then the product reliability index was assigned to the meta-action.The effectiveness and practicality of the method were demonstrated through application examples.
万方数据
维普
