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Titlebook: Measuring Uncertainty within the Theory of Evidence; Simona Salicone,Marco Prioli Book 2018 Springer International Publishing AG, part of

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發(fā)表于 2025-3-28 18:10:34 | 只看該作者
2198-7807 lternative approach using examples of uncertainty propagatioThis monograph considers the evaluation and expression of measurement uncertainty within the mathematical framework of the Theory of Evidence. With a new perspective on the metrology science, the text paves the way for innovative applicatio
42#
發(fā)表于 2025-3-28 21:38:35 | 只看該作者
43#
發(fā)表于 2025-3-29 01:21:50 | 只看該作者
A First, Preliminary Example the potentiality, versatility, and generality of the RFV approach. In this way, we hope to intrigue the readers and convince them it is worthwhile studying this new approach and going on reading this book.
44#
發(fā)表于 2025-3-29 06:12:38 | 只看該作者
45#
發(fā)表于 2025-3-29 10:39:43 | 只看該作者
The Joint Possibility Distributions. In this case, the bivariate distribution of (., .?) (i.e., their joint distribution) shall be considered to represent the information about the possible . values independently of the .?values, the possible .?values independently of the . values, and the possible .?values given the . values (i.e., .?and . relationship).
46#
發(fā)表于 2025-3-29 14:56:31 | 只看該作者
A Short Review of the Fuzzy Set Theoryan element can either belong to a set or not, and nothing in between. A model represents exactly the real system that has been modeled, that is, it is unequivocal, it contains no ambiguities, and its parameters are exactly known, with no doubts about their values or their occurrence.
47#
發(fā)表于 2025-3-29 17:51:34 | 只看該作者
48#
發(fā)表于 2025-3-29 19:46:35 | 只看該作者
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發(fā)表于 2025-3-30 02:40:18 | 只看該作者
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發(fā)表于 2025-3-30 04:48:23 | 只看該作者
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