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<p>As an effective reliability management tool, failure mode and effect analysis (FMEA) has been widely utilized in various fields. However, existing studies overlook the fact that words may mean discrepant things to different people, which entail that FMEA participants have personalized individual semantics (PISs) in terms of their linguistic expressions. Moreover, decision-makers (DMs) may have different requirements or restrictions on risk factors in FMEA. This study attempts to develop a novel multi-criteria group decision support framework for FMEA with linguistic distribution assessments considering PISs from the perspective of tolerance attitudes. First, the concept of discrimination measure is defined, facilitating the formulation of a discrimination-based optimization model for assigning personalized numerical scales to team members. Second, several consensus-based optimization models are designed to provide adaptive adjustment strategies to yield consensual solutions. Third, the local and global tolerance attitudes of DMs to risk factors are fully modeled into the multi-criteria evaluation process through 2-addtive Choquet integral and investigate the impact mechanism of the risk tolerance attitudes of DMs on the final results. Finally, a case study on electric vehicle business model innovation with sensitive and comparative analysis is presented to verify the application of the proposed framework.</p>

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Risk Evaluation Based on Hybrid FMEA Framework Considering Decision-Makers’ Tolerance Attitudes and Personalized Individual Semantics

  • 期刊论文

  • 发表日期：

    2026年4月30日

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  • Zhang-Peng Tian,
  • Ling-Feng Qiu,
  • Le Wang,
  • Yu Qiu

摘要

As an effective reliability management tool, failure mode and effect analysis (FMEA) has been widely utilized in various fields. However, existing studies overlook the fact that words may mean discrepant things to different people, which entail that FMEA participants have personalized individual semantics (PISs) in terms of their linguistic expressions. Moreover, decision-makers (DMs) may have different requirements or restrictions on risk factors in FMEA. This study attempts to develop a novel multi-criteria group decision support framework for FMEA with linguistic distribution assessments considering PISs from the perspective of tolerance attitudes. First, the concept of discrimination measure is defined, facilitating the formulation of a discrimination-based optimization model for assigning personalized numerical scales to team members. Second, several consensus-based optimization models are designed to provide adaptive adjustment strategies to yield consensual solutions. Third, the local and global tolerance attitudes of DMs to risk factors are fully modeled into the multi-criteria evaluation process through 2-addtive Choquet integral and investigate the impact mechanism of the risk tolerance attitudes of DMs on the final results. Finally, a case study on electric vehicle business model innovation with sensitive and comparative analysis is presented to verify the application of the proposed framework.