Failure mode and effect analysis (FMEA) is a tool used to define, identify, and prevent known or unknown potential risks. An improved FMEA based on interval triangular fuzzy numbers (IVF) and fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method is proposed in this study to solve problems of expression and processing of uncertain information, weights of risk factors, and ranking of failure modes in traditional FMEA. Linguistic variables are used to evaluate failure modes level and relative importance of risk factors and are expressed via interval-valued triangular fuzzy number. Determining the subjective weights of risk factors using fuzzy AHP, calculating the objective weights of risk factors using the extended VIKOR method, and obtaining the comprehensive weights of risk factors via ICWGT are proposed for solving the weight problem of risk factors. Finally, the fuzzy VIKOR method is used to rank risk priority of failure modes. The proposed method is used to evaluate workpiece box system of CNC gear milling machine and the results are compared with the findings of other methods to verify effectiveness and rationality of the proposed method.

中文翻译：

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基于IVF和模糊VIKOR方法的改进FMEA——以数控齿轮铣床工件箱系统为例

失效模式和影响分析 (FMEA) 是一种用于定义、识别和预防已知或未知潜在风险的工具。本研究提出了一种基于区间三角模糊数（IVF）和模糊VlseKriterijumska Optimizacija I Kompromisno Resenje（VIKOR）方法的改进FMEA，以解决不确定信息的表达和处理、风险因素的权重以及失效模式的排序问题。传统的 FMEA。语言变量用于评估故障模式级别和风险因素的相对重要性，并通过区间值三角模糊数表示。使用模糊层次分析法确定风险因素的主观权重，使用扩展的VIKOR方法计算风险因素的客观权重，为解决风险因素权重问题，提出通过ICWGT获取风险因素综合权重。最后，采用模糊VIKOR方法对故障模式的风险优先级进行排序。将提出的方法用于数控齿轮铣床工件箱体系统的评估，并将结果与​​其他方法的结果进行比较，以验证所提出方法的有效性和合理性。