Failure mode and effect analysis using multi‐linguistic terms and Dempster–Shafer evidence theory

Abstract

Failure mode and effect analysis (FMEA) is a useful technique to identify and quantify potential failures. FMEA determines a potential failure mode by evaluating risk factors. In recent years, there are many works improving FMEA by allowing multiple experts to use linguistic term sets to evaluate risk factors. However, it is important to design a framework that can consider both the weight of risk factors and the weight of the experts. In addition, managing conflicts among experts is also an urgent problem to be addressed. In this paper, we proposed an FMEA model based on multi‐granularity linguistic terms and the Dempster–Shafer evidence theory. On the other hand, the weights for both experts and risk factors are taken into consideration. The weights are computed objectively and subjectively to ensure the reasonability. Further, we apply our method to an emergency department case, which shows the effectiveness of the method.

An improving failure mode and effect analysis method for pallet exchange rack risk analysis

“…Wang et al (Wang et al, 2018b) proposed a risk evaluation based on prospect theory and Choquet integral, which considered decision maker's psychological behavior and risk factors' interaction relationships simultaneously. Hu et al (Hu et al, 2020b) proposed an FMEA model based on multi-granularity linguistic terms and the dempster-shafer evidence theory, An integrated robust DEA-FMEA approach was proposed by Yousefi et al (Yousefi et al, 2018) to evaluate and prioritize safety and environment risks, which considered two extra risk factors: cost and duration of treatment. In this paper, the PF-WASPAS method is utilized by us to rank failure modes, which combine PFSs and the WASPAS method.…”

An Improving failure Mode and Effect Analysis Method for Pallet Exchange Rack Risk Analysis

“…Wang et al (Wang et al, 2018b) proposed a risk evaluation based on prospect theory and Choquet integral, which considered decision maker's psychological behavior and risk factors' interaction relationships simultaneously. Hu et al (Hu et al, 2020b) proposed an FMEA model based on multi-granularity linguistic terms and the dempster-shafer evidence theory, An integrated robust DEA-FMEA approach was proposed by Yousefi et al (Yousefi et al, 2018) to evaluate and prioritize safety and environment risks, which considered two extra risk factors: cost and duration of treatment. In this paper, the PF-WASPAS method is utilized by us to rank failure modes, which combine PFSs and the WASPAS method.…”

Reliability analysis of complex electromechanical systems: State of the art, challenges, and prospects

“…First proposed by Dempster 46 and extended by Shafer, 47 D-S evidence theory has been a powerful tool for handling uncertain information. 198,199 Jiang et al 197 proposed a non-parameter basic probability assignment method based on kernel density estimation to improve the traditional evidence theory, which assessed the reliability states by using evidence fusion. Deng 200 extended D-S evidence theory into general evidence theory, which is more applicable to open-world problems.…”