Enhancing the reliability of machine tools and preventing the potential failures in the manufacturing process is one of the most important tasks for the development of industry. The failure mode and effects analysis (FMEA) is the well-known and widely utilized approach to identify and evaluate potential failures for preventing risk in various enterprises. It is a group-oriented technique ordinarily conducted by a group of experts from related fields. Obviously, an effective approach should be developed, which is used to integrate risk evaluation information from multiexperts by considering group and individual risk attitudes. This article proposes a hybrid FMEA framework for addressing machine tool risk analysis problem by integrating cloud model, Choquet integral, and gained and lost dominance score (GLDS) method. In this framework, an improved Shapley cloud-Choquet weighting averaging operator is defined to fuse random and uncertain risk information by considering the correlations among experts. An extended GLDS method with developed Choquet integral based on distance measure of normal clouds is presented to prioritize the risk priority of each failures, in which the group and individual risk attitude and risk interactions are considered simultaneously. Finally, a real risk analysis of machine tool in a machine tool industry is introduced to illustrate the application and feasibility of the proposed approach, and comparison and sensitivity studies are also conducted to validate the effectiveness of the hybrid framework.

中文翻译：

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使用扩展的获得和失去优势评分法进行机床风险分析的失效模式和影响分析

提高机床的可靠性，防止制造过程中的潜在故障，是工业发展的最重要任务之一。故障模式和影响分析 (FMEA) 是众所周知且广泛使用的方法，用于识别和评估潜在故障以防止各种企业的风险。它是一种面向群体的技术，通常由一组相关领域的专家进行。显然，应该开发一种有效的方法，通过考虑群体和个人风险态度来整合来自多专家的风险评估信息。本文提出了一种混合 FMEA 框架，通过集成云模型、Choquet 积分和获得和失去优势得分 (GLDS) 方法来解决机床风险分析问题。在这个框架中，定义了改进的 Shapley cloud-Choquet 加权平均算子，通过考虑专家之间的相关性来融合随机和不确定的风险信息。提出了一种基于正常云距离度量的基于Choquet积分的扩展GLDS方法，对每个故障的风险优先级进行了优先排序，其中同时考虑了群体和个体风险态度以及风险相互作用。最后，介绍了机床行业中机床的真实风险分析，以说明所提出方法的应用和可行性，并进行了比较和敏感性研究，以验证混合框架的有效性。提出了一种基于正常云距离度量的基于Choquet积分的扩展GLDS方法，对每个故障的风险优先级进行了优先排序，其中同时考虑了群体和个体风险态度以及风险相互作用。最后，介绍了机床行业中机床的真实风险分析，以说明所提出方法的应用和可行性，并进行了比较和敏感性研究，以验证混合框架的有效性。提出了一种基于正常云距离度量的基于Choquet积分的扩展GLDS方法，对每个故障的风险优先级进行了优先排序，其中同时考虑了群体和个体风险态度以及风险相互作用。最后，介绍了机床行业中机床的真实风险分析，以说明所提出方法的应用和可行性，并进行了比较和敏感性研究，以验证混合框架的有效性。