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Lifetimes prediction with fuzzy reasoning

机译:模糊推理的寿命预测

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From the viewpoint of practical reliability assurance, we often need to predict lifetimes, even when we do not have enough data during infant life. The authors propose a new method which utilizes experts' knowledge with a fuzzy reasoning, andstudy the prediction errors using failure data in accordance with the Weibull distribution. As a result, they show that the proposed method enables us to infer lifetimes based on one or a few infant life data without likelihood functions. Another newhybrid method which combines the fuzzy reasoning method with the maximum likelihood method is also proposed.
机译:从实用的可靠性保证的角度来看,即使婴儿期我们没有足够的数据,我们也经常需要预测使用寿命。作者提出了一种利用专家知识进行模糊推理的新方法,并根据威布尔分布使用故障数据研究预测误差。结果,他们表明,所提出的方法使我们能够基于一个或几个婴儿生命数据来推断寿命,而没有似然函数。还提出了将模糊推理方法与最大似然方法相结合的另一种新的混合方法。

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