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Research on the Application of Triangular Fuzzy Number and AHP in Risk Evaluation

机译:三角模糊数和AHP在风险评估中的应用研究

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摘要

Accurate risk prioritizing is directly related to the effectiveness of risk management. To overcome the shortage of the single numerical evaluation value, aiming at improving the accuracy of risk factors, a new risk priority method was proposed based on geometric characteristics of triangular fuzzy number and Analytic Hierarchy Process (AHP). This method was established on the basis of the fuzzy description of risk factors from experts, after the risk evaluation system was established. Then the fuzzy description of risk was processed with AHP, and fuzzy weights of risk factors were obtained and calculated it by using the geometric characteristics of triangular fuzzy number. Finally, the detailed ranking of risk factors by severity, probability and detection of risk was obtained. The risk priority of forklift system was processed to analyze the feasibility of this method. The results showed that the new method proposed here could fully get the implicit information, such as the weights of experts and the factors. It could improve the rationality of the risk sorting and revise the offset of the result using the traditional method.
机译:准确的风险优先考虑与风险管理的有效性直接相关。为了克服单一数值评价值的短缺,旨在提高风险因素的准确性,基于三角形模糊数和分析层次处理(AHP)的几何特征,提出了一种新的风险优先方法。在建立风险评估系统之后,基于专家风险因素的模糊描述建立了这种方法。然后用AHP处理风险的模糊描述,并通过使用三角模糊数的几何特征来获得和计算风险因素的模糊重量。最后,获得了严重程度,概率和检测风险的详细排序。处理了叉车系统的风险优先级,以分析该方法的可行性。结果表明,这里提出的新方法可以完全获取隐含信息,例如专家的权重以及因素。它可以通过传统方法改善风险分类的合理性并修改结果的偏移。

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  • 来源
    《SAE World Congress Exhibition》|2015年|1 Electronic text data|共5页
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  • 作者

    Ying Fan;

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  • 中图分类 U46-53;
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