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TREEZZY2, a Fuzzy Logic Computer Code for Fault Tree and Event Tree Analyses

机译:TREEZZY2,用于故障树和事件树分析的模糊逻辑计算机代码

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摘要

In conventional approach to reliability analysis using logical trees methodologies, uncertainties in system components or basic events failure probabilities are approached by assuming probability distribution functions. However, data are often insufficient for statistical estimation, and therefore it is required to resort to approximate estimations. Moreover, complicate calculations are needed to propagate uncertainties up to the final results. In our work, in order to take account of the uncertainties in system failure probabilities, the methodology based on fuzzy sets theory is used both in fault tree and event tree analyses. This paper just presents our work in this issue, which resulted in a computer program named TREEZZY (TREE fuZZY).
机译:在使用逻辑树方法进行可靠性分析的常规方法中,通过假设概率分布函数来估计系统组件或基本事件中的故障概率。但是,数据通常不足以进行统计估计,因此需要诉诸近似估计。而且,需要复杂的计算才能将不确定性传播到最终结果。在我们的工作中,为了考虑系统故障概率的不确定性,在故障树和事件树分析中都使用了基于模糊集理论的方法。本文只是介绍了我们在此问题上的工作,这导致了一个名为TREEZZY(TREE fuZZY)的计算机程序。

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