| Citation: | JU Pinghua, CHEN Zi, RAN Yan, et al. Improved FMEA method based on PROMETHEE in multi-granular probabilistic linguistic environment[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(11): 2266-2276. doi: 10.13700/j.bh.1001-5965.2019.0142(in Chinese)
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With respect to some inherent drawbacks regarding failure mode evaluations, risk factor weights and risk priority ranking in traditional failure mode and effect analysis (FMEA)method, an improved FMEA method based on preference ranking organization method for enrichment evaluations (PROMETHEE) in multi-granular probabilistic linguistic environment was proposed. The multi-granular probabilistic linguistic term sets (PLTS) were used to characterize the diversity and uncertainty of experts' assessment information, and a new linguistic computational model was developed based on the 2-tuple linguistic transformation formulas to unify the multi-granular risk assessment information provided by FMEA team members. Best-worst method (BWM) and the entropy weighting method were adopted to determine subjective and objective combined weights of risk factors. The PROMETHEEE was extended to probabilistic linguistic environment to determine the risk ranking of failure modes. Finally, an empirical case concerning the failure risk evaluation of tray automatic exchange device was presented to demonstrate the practicality and effectiveness of the proposed method, and sensitivity analysis and comparison study were also performed to show its merits.
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