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Conception and Implementation of a New Data-Driven Fuzzy Method for Reliability and Safety Analysis

机译:一种新的可靠性和安全分析数据驱动模糊方法的构想与实现

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摘要

In this paper, the probability of failure of the components is introduced as a new type of fuzzy numbers called Gaussian patchy fuzzy number to insert parameters' uncertainty. The reason for the use of such fuzzy numbers is also due to their realistic estimation. Hence, in order to obtain a more accurate estimate of each failure occurrence and overall system reliability analysis, we assume that the fundamental events of fault tree are in the form of Gaussian patchy fuzzy number on [0, 1], and then, by applying the fuzzy transmission average (TA) [F. Abbasi, T. Allahviranloo and S. Abbasbandy, A new attitude coupled with fuzzy thinking to fuzzy rings and fields, Journal of Intelligent and Fuzzy Systems, 29 (2015) 851-861], we will model the reliability of the fuzzy system (especially the series and the parallel). Applying such fuzzy operations and numbers will lead to a more realistic analysis of the reliability of the fuzzy system. Finally, the proposed model has been used for the lack of satisfaction of the University's administrative and financial assistant.
机译:在本文中,将组件失败的概率作为一种称为高斯斑驳模糊数的新型模糊数字,以插入参数的不确定性。使用这种模糊数的原因也是由于它们的现实估计。因此,为了获得对每个故障发生和整体系统可靠性分析的更准确估计,假设故障树的基本事件是[0,1]的高斯拼凑模糊数的形式,然后通过施加模糊传输平均值(TA)[F. Abbasi,T.Allahviranloo和S. Abbasbandy,一种新的态度,与模糊思想进行模糊思维,智能和模糊系统,29(2015)851-861],我们将建模模糊系统的可靠性(特别是该系列和并联)。应用这种模糊操作和数字将导致对模糊系统可靠性的更现实的分析。最后,拟议的模式已被用于大学的行政和金融助理缺乏满足感。

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