FMEA Integrated with Dynamic Weighting and Interval 2-Tuple Linguistic Information
LIU Long1,2, LI Bin2
1. School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; 2. Hospital Management Research
Center The Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University, Shanghai 200233, China
Abstract:Objective Failure mode and effects analysis (FMEA) is a risk management technology that is widely used to identify and
eliminate fault risks to improve system security and reliability. The aim of the present paper was to overcome the inherent limitations
of conventional FMEA method such as imprecise risk evaluation, the relative importance of FMEA members or risk factors, and
questionable RPN computation. Methods Considering the differences in professional knowledge, industry background and risk
perception among FMEA members, this paper proposed a method to combine the dynamic weighting with the interval 2-tuple
linguistic information to improve the FMEA. The dynamic weightings were calculated based on the decision information, which
characterized the importance of the evaluation of various failure modes on different risk factors by FMEA members to the final result.
At the same time, the interval 2-tuple variables could effectively process the assessment of natural language forms of different
granularities of FMEA members. The interval 2-tuple variables could efficiently deal with the assessment of multigranularity
linguistic term sets used by FMEA members, and the risk priority numbers were assigned using interval 2-tuple hybrid
weighted distance. Results A case assesses the risk of C-arm X-ray process was provided to demonstrate the effectiveness
and feasibility of the proposed approach. Conclusion The proposed method allows multigranularity language for risk assessment,
and dynamically considers the relative importance of FMEA members, which is more in line with the actual situation and effectively
overcomes the shortcomings of the traditional FMEA method.
刘龙1,2,李斌2. 动态加权与区间二元语义结合的FMEA方法[J]. 中国医疗设备, 2019, 34(10): 10-15.
LIU Long1,2, LI Bin2. FMEA Integrated with Dynamic Weighting and Interval 2-Tuple Linguistic Information. China Medical Devices, 2019, 34(10): 10-15.