失效模式及影响分析
模糊逻辑
计算机科学
操作员(生物学)
可靠性(半导体)
钥匙(锁)
骨料(复合)
数据挖掘
计算
可靠性工程
风险分析(工程)
人工智能
算法
工程类
医学
生物化学
化学
功率(物理)
物理
计算机安全
材料科学
抑制因子
量子力学
转录因子
复合材料
基因
作者
Yuan Zhong,Guofa Li,Chuanhai Chen,Yan Liu
标识
DOI:10.1016/j.asoc.2023.110789
摘要
Failure mode and effects analysis (FMEA) is an important work in product reliability design. It can identify the weak links and key items in design through fault analysis, and provide basic information for evaluating and improving the reliability of system design. In view of the shortcomings of the existing FMEA method, such as the weak ability of experts to describe and process fuzzy information and the lack of consideration of the weight and correlation between risk factors. In this paper, by fusing Fermatean fuzzy sets (FFS) and Muirhead Mean (MM) operators, we propose Fermatean fuzzy weighted Muirhead mean (FFWMM) operator and develop a new FMEA method. Firstly, two new risk factors are proposed to overcome the shortcoming of insufficient consideration of the FMEA method. By introducing FFS, the ability of experts to express fuzzy information is enhanced. Using FFWMM operator to aggregate evaluation information can deal with the weight and correlation between influencing factors well. Finally, an example is given to illustrate the superiority of the proposed method.
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