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Performance evaluation of constructed facilities through linguistic judgment

机译:通过语言判断对建筑设施进行绩效评估

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It is often difficult to estimate exact probabilities of occurrence of fault events for the use in the conventional fault tree analysis (FTA) when failure data are insufficient or fault events are vague such as human error. A hybrid approach utilizing fuzzy sets and possibility theory is presented to overcome this problem. In the approach, failure possibilities of imprecise events are characterized by fuzzy sets to translate expert subjective judgments while fuzzy fault rates are derived from fuzzy possibility scores based on a modified possibility transformation function. An example of beam failure is presented to demonstrate the capability of the approach that can assist safety engineers to effectively assess fault possibilities and better analyze building performance.
机译:当故障数据不足或故障事件含糊不清(例如人为错误)时,通常难以估计故障事件发生的确切概率以用于常规故障树分析(FTA)。提出了一种利用模糊集和可能性理论的混合方法来克服这个问题。在这种方法中,不精确事件的失败可能性通过模糊集来表征,以翻译专家的主观判断,而模糊错误率则基于修改后的可能性转换函数从模糊可能性得分中得出。给出了一个梁破坏的例子,以证明该方法的功能,可以帮助安全工程师有效地评估故障可能性并更好地分析建筑性能。

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