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In lifetime analysis different kinds of uncertainty are present. Besides variability there is also imprecision of measurement results. This kind of uncertainty is best described by fuzzy models. Besides fuzziness of degradation parameters there is also fuzziness of probability distributions. Using fuzzy models in combination with statistical models and degradation functions more realistic lifetime...
Statistical hypothesis testing is very important for finding decisions in practical problems. Usually, the underlying data are assumed to be precise numbers, but it is much more realistic in general to consider fuzzy values which are non-precise numbers. In this case the test statistic will also yield a non-precise number. This article presents an approach for statistical testing at the basis of fuzzy...
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