Improved FMEA based on comprehensive weighting and weight correlation coefficient in spherical fuzzy sets

Aiming at the shortcomings of traditional failure mode and effect analysis (FMEA) in risk mode assessment, risk factor weight distribution and failure mode ranking, an improved spherical fuzzy FMEA method based on SWARA-CRITIC an d weight correlation coefficient is proposed. In this method, the spherical fuzzy term set is used to represent the uncertainty and hesitation that may occur when experts evaluate information. The comprehensive weighting method combining step-by-step weighted assessment ratio analysis (SWARA) and correlation weighting method (CRITIC) is used to determine the comprehensive weight of risk factors, so as to reduce the information difference caused by experts' cognitive factors such as experience and psychology. Finally, the weight correlation coefficient is extended to FMEA in spherical fuzzy environment for fault mode risk ranking. Taking the intake and exhaust system of diesel engine as an example, the effectiveness and feasibility of the method are verified, and the superiority of the proposed method is further analyzed by sensitivity analysis and comparative analysis.