FMEA risk analysis based on improved multiplicative consistency HFLPRs-TOPSIS

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Journal of Vibration and Shock ›› 2025, Vol. 44 ›› Issue (11) : 178-187.

VIBRATION THEORY AND INTERDISCIPLINARY RESEARCH

FMEA risk analysis based on improved multiplicative consistency HFLPRs-TOPSIS

LIU Zihui1,2, FANG Yanhong*1,2, SUO Bin1,2

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Abstract

In the reliability assessment phase of Failure Mode and Effects Analysis (FMEA), the uncertainty in expert ratings and the conflicts in group decision-making significantly impact the accuracy of risk analysis results. To address this issue, this paper proposes a risk analysis method based on an improved multiplicative consistency hesitant fuzzy linguistic preference relation set (HFLPRs) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The method first introduces HFLPRs to systematically capture the preference degrees of the indicators. Next, it improves the multiplicative consistency formula and constructs a defuzzification optimization model for HFLPRs, combining the IOWA operator to adjust expert weights, thereby effectively extracting and aggregating group decision information. Finally, the improved TOPSIS method is employed to rank the risks of various failure modes. Using the risk analysis of train skirts as a case study, sensitivity and comparative analyses of the proposed method are conducted. The results indicate that the proposed approach can more effectively preserve the original information from experts, reduce the impact of uncertainty and conflict within the group on the results, and achieve more accurate, objective, and stable risk analysis outcomes.

Key words

FMEA / multiplicative consistency;group decision-making / HFLPRs / TOPSIS

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LIU Zihui1, 2, FANG Yanhong1, 2, SUO Bin1, 2. FMEA risk analysis based on improved multiplicative consistency HFLPRs-TOPSIS[J]. Journal of Vibration and Shock, 2025, 44(11): 178-187

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