基于主客观综合赋权的风险优先数分析
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国家自然科学基金资助项目(U183010080)

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Risk priority number analysis based on subjective and objective integrated weighting
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    摘要:

    在基于多属性决策(MCDM)的风险优先数(RPN)分析中,如何有效确定参与故障模式、影响与危害性分析(FMECA)专家的权重至关重要。针对FMECA分析中应用较为广泛的区间数评价信息,以工作年限、工作经验、对分析对象的熟悉度为指标体系,提出了专家主观权重的确定方法;以专家评价信息的相似度为标准,提出了区间数信息下专家客观权重的确定方法;两者综合,得到复合权重,对多源区间信息进行融合和RPN评价。通过矿用本安电源危害性分析的案例,表明了所提出方法的合理性和有效性。

    Abstract:

    In Risk Priority Number(RPN) analysis based on Multi-Criteria Decision Making(MCDM), it is critically important to determine the weight of each expert in Failure Mode, Effects and Criticality Analysis(FMECA) of a product. For a widely used type of experts’ opinions, interval number information, subjective weights are determined by the index system of employment years, working experience and familiarity degree. Then based on the similarities of each two experts’ opinions, the method to calculate the objective weight is conducted. The multi-sources experts’ opinions are fused by an integrated weighting on the basis of above subjective and objective weights. At last, the effectiveness of proposed method is validated by a criticality analysis of the intrinsically safe power supply applied in mine.

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谭正超,锁 斌,杨战平.基于主客观综合赋权的风险优先数分析[J].太赫兹科学与电子信息学报,2021,19(6):1057~1064

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  • 收稿日期:2020-02-23
  • 最后修改日期:2020-03-13
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  • 在线发布日期: 2021-12-31
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