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.

中文翻译：

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使用多语言术语和Dempster-Shafer证据理论进行失效模式和影响分析

故障模式和影响分析（FMEA）是识别和量化潜在故障的有用技术。FMEA通过评估风险因素来确定潜在的故障模式。近年来，有许多工作通过允许多位专家使用语言术语集来评估风险因素来改善FMEA。但是，设计一个既要考虑风险因素的权重又要考虑专家权重的框架是很重要的。此外，管理专家之间的冲突也是一个亟待解决的问题。在本文中，我们提出了一种基于多粒度语言术语和Dempster-Shafer证据理论的FMEA模型。另一方面，要考虑专家的权重和风险因素。客观地和主观地计算权重以确保合理性。进一步，