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基于直觉模糊AHP和模糊MAIRCA的故障模式与影响分析

Translated title of the contribution: Fault mode and effectiveness analysis based on intuitionistic fuzzy AHP and fuzzy MAIRCA
  • Shu Qin Peng
  • , Chen Lü
  • , Da Rong Huang
  • , Yu Jie Cheng*
  • , Ling Zhao
  • *Corresponding author for this work
  • Chongqing Jiaotong University
  • Beihang University
  • School of Artificial Intelligence of Anhui University

Research output: Contribution to journalArticlepeer-review

Abstract

Failure mode and effect analysis (FMEA) is an active risk assessment technology, which is mainly used to sort failure modes according to their risk levels and implement follow-up actions to eliminate or mitigate their consequences. To overcome the defects caused by the traditional FMEA technology, the risk priority number (RPN) is used to determine the critical failure mode. In this paper, a new integrated multi criteria decision making (MCDM) method is proposed, which combines intuitionistic fuzzy analytic hierarchy process (IFAHP) with improved fuzzy multi-attribute ideal reality comparative analysis (FMAIRCA). Firstly, this paper calculates the weight of risk factors through IFAHP method, and then deduces the order of failure modes using the improved FMAIRCA model proposed in this paper. In addition, the objective weight of experts is also considered in the whole process. Finally, a case in the FMEA field is considered to verify the proposed method, the results show that the proposed method provides a practical and effective method for the FMEA risk assessment.

Translated title of the contributionFault mode and effectiveness analysis based on intuitionistic fuzzy AHP and fuzzy MAIRCA
Original languageChinese (Traditional)
Pages (from-to)127-137
Number of pages11
JournalKongzhi Lilun Yu Yingyong/Control Theory and Applications
Volume42
Issue number1
DOIs
StatePublished - Jan 2025

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