Failure mode and effects analysis method based on fuzzy TOPSIS

Abstract

Aiming at the defect of traditional failure mode and effects analysis( FMEA) in evaluating the effect factors of the failure mode and calculating the risk priority number,a FMEA method based on fuzzy technique for order preference by similarity to ideal solution( TOPSIS) is proposed. This method uses fuzzy belief structure to express the evaluation of the effect factors,and adopts defuzzification and the weighted average to establish the clear belief matrix. Moreover,considering the importance of the weights of the effect factors on analysis result,the weights are determined by the combination the subjective weighting method and the objective weighting method,then the weighted normalized matrix can be constructed,and the risk level of each failure mode is ranked in the order of the relative closeness. An example is taken to validate feasibility and effectiveness of the method.