LAUSR

Failure mode and effect analysis (FMEA) is used for risk assessment. The risk priority number (RPN) is the product of the three indicators of severity (S), probability of occurrence (O), and detection (D), which is an important measure to determine the risk priority. A new geometric mean FMEA method based on information quality is presented. First, a fuzzy evaluation distribution form is proposed, which constructs a more flexible and reasonable expression of experts’ opinions in decision-making. Second, a geometric mean method to combine several probability distributions based on information quality is proposed to calculate the RPN. Finally, a numerical case study is illustrated to show the efficiency of the proposed method.