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Determining the degree of fuzziness for Fuzzy-AHP methodology used for identifying fatigue critical piping locations for inspection

机译:确定模糊-AHP方法的模糊程度,用于识别疲劳关键管道位置进行检查

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This paper acts as a supplement to the Fuzzy Analytical Hierarchy Process (FAHP) based methodology proposed by the authors to prioritize inspection of Potential Fatigue Critical Locations (PFCLs) on topside piping. In order to account for the uncertainties in the AHP based approach (proposed by the authors), arising from the crisp scale, authors have proposed an FAHP based methodology. The aforementioned approach uses a pre-defined fuzzy set scale and a certain degree of fuzziness (δ). Generally, the degree of fuzziness is determined by the sensitivity analysis. However, such an approach is not suitable for the FAHP methodology proposed by the authors. Hence, in this manuscript the authors have proposed an alternative approach to select the value of δ based on the experts' background knowledge regarding the technical reality of the piping system. In real-world situations the aforementioned depends upon his/her past on-site experience, accessibility to the technical reports and other technical documents. Thus, the value of δ based on the expert's background knowledge reflects his/her confidence regarding the technical reality/condition of the system. A case study is performed to illustrate the applicability of the proposed approach.
机译:本文充当了作者提出的基于模糊分析层次过程(FAHP)方法的补充,以优先考虑对顶部管道上的潜在疲劳关键位置(PFCL)的检查。为了解释由脆性规模产生的基于AHP的方法(作者提出)的不确定性,提出了一种基于FAHP的方法。上述方法使用预定义的模糊设定量表和一定程度的模糊(δ)。通常,模糊程度由灵敏度分析确定。然而,这种方法不适合作者提出的FAHP方法。因此,在本手稿中,作者提出了一种替代方法,以基于专家的背景知识选择δ的值,了解管道系统的技术现实。在现实世界的情况下,上述了依赖于他/她过去的现场经验,对技术报告和其他技术文件的可访问性。因此,基于专家的背景知识的δ值反映了他/她对系统的技术现实/条件的信心。进行案例研究以说明所提出的方法的适用性。

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