Failure Mode and Effects Analysis (FMEA) is an effective tool for prioritization of the failures by identifying and eliminating potential risks, free double hierarchy hesitant fuzzy linguistic term set (FDHHFLTS) can describe the hesitation more accurately and reasonably by adding the free second hierarchy hesitant fuzzy linguistic terms, and multiattribute decision-making (MADM) methods have advantages in ranking and selecting different alternatives. By considering the advantages of MADM methods and FMEA model, in this paper, we propose a novel model to evaluate the risk failure modes (FMs) under FDHHFLTS context. First, an extended Complex Proportional Assessment (COPRAS) method is proposed to address the risk assessment problems. The proposed risk assessment model is utilized to assess and rank the FMs to address the limitations of the traditional FMEA. Second, a weight determination model is constructed based on the Kemeny Median (KEM) method and Stepwise Weight Assessment Ratio Analysis (SWARA) method, which can make the weight more practical and effective under the situation of completely unknown weights. Finally, the proposed model is used to the case of logistics enterprises’ risk assessment. The application of the case shows the feasibility of the proposed model, and the comparisons with some existing methods illustrate the advantages of the proposed risk assessment model.

中文翻译：

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自由双层次犹豫模糊语言环境下物流企业使用FMEA的风险评估

故障模式和影响分析（FMEA）是一种通过识别和消除潜在风险来对故障进行优先级排序的有效工具，自由双层次犹豫模糊语言术语集（FDHHFLTS）可以通过添加自由第二层次犹豫更准确合理地描述犹豫模糊语言术语和多属性决策 (MADM) 方法在排序和选择不同备选方案方面具有优势。通过考虑 MADM 方法和 FMEA 模型的优势，在本文中，我们提出了一种新的模型来评估 FDHHFLTS 环境下的风险失效模式 (FM)。首先，提出了一种扩展的复杂比例评估（COPRAS）方法来解决风险评估问题。建议的风险评估模型用于评估和排名 FM，以解决传统 FMEA 的局限性。其次，基于凯门尼中位数（KEM）方法和逐步权重评估比分析（SWARA）方法构建了权重确定模型，可以在权重完全未知的情况下使权重更加实用和有效。最后，将该模型应用于物流企业风险评估的案例中。案例的应用表明了所提模型的可行性，与现有方法的对比说明了所提风险评估模型的优势。在完全未知权重的情况下，可以使权重更加实用和有效。最后，将该模型应用于物流企业风险评估的案例中。案例的应用表明了所提模型的可行性，与现有方法的对比说明了所提风险评估模型的优势。在完全未知权重的情况下，可以使权重更加实用和有效。最后，将该模型应用于物流企业风险评估的案例中。案例的应用表明了所提模型的可行性，与现有方法的对比说明了所提风险评估模型的优势。