Improved FMEA method for risk evaluation considering expert consensus

被引：1
|
作者：
Wang R. [1 ]
Li Y.-L. [1 ,2 ]
Zhu J.-H. [1 ]
Yang Y. [1 ]
机构：
[1] School of Transportation and Logistics, Southwest Jiaotong University, Chengdu
[2] National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu
来源：
Li, Yan-Lai (yanlaili@home.swjtu.edu.cn) | 2018年 / Zhejiang University卷 / 52期
关键词：
Combination weighting method; Expert consensus; Failure mode and effect analysis (FMEA); Improved TOPSIS method; Intuitionistic multiplicative preference relation; Risk evaluation;
D O I：
10.3785/j.issn.1008-973X.2018.06.003
中图分类号：
学科分类号：
摘要：
An improved FMEA method considering expert consensus based on intuitionistic multiplicative preference relations was proposed in order to overcome the shortcomings in application of traditional failure mode and effect analysis (FMEA) method. Firstly, the intuitionistic multiplicative number was introduced to represent the experts' preference information of failure modes and risk factor weights for dealing with the uncertainty of evaluation information. Secondly, the intuitionistic multiplicative weighted averaging operator was utilized to aggregate the preference matrices of failure modes. Meanwhile, the consensus measures of intuitionistic multiplicative numbers and intuitionistic multiplicative preference matrices were put forward to correct the experts' extreme preference information. Then the expert consensus was reached through the compatibility test, and the acceptable group preference matrix of failure modes was obtained. Thirdly, the risk factor weights were determined by using the combination weighting method based on evaluation information method and ideal solution optimization model. At last, the standard Manhattan distance was introduced to improve the technique for order preference by similarity to an ideal solution (TOPSIS) method, and an improved TOPSIS method based on bidirectional projection distance under intuitionistic multiplicative preference relation environment was proposed to determine the final risk ranking of failure modes. A case study was implemented to illustrate that the proposed method can improve the accuracy of risk evaluation and provide some guidance in practical risk management. © 2018, Zhejiang University Press. All right reserved.
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页码：1058 / 1067
页数：9
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