gustation
发表于 2025-3-25 06:13:37
Gerrit Heinemann,Christian W. GaiserIn most real-life situations, we have all types of uncertainty: probabilistic, interval, fuzzy, and the model inaccuracy. There are methods for processing each of these types of uncertainty.
Decrepit
发表于 2025-3-25 09:48:16
http://reply.papertrans.cn/24/2301/230091/230091_22.png
paroxysm
发表于 2025-3-25 13:46:06
http://reply.papertrans.cn/24/2301/230091/230091_23.png
小官
发表于 2025-3-25 17:01:35
http://reply.papertrans.cn/24/2301/230091/230091_24.png
exhibit
发表于 2025-3-26 00:03:48
How General Can We Go: What Is Computable and What Is not,. The resulting estimates are never 100% accurate:
magnanimity
发表于 2025-3-26 00:46:34
Conclusions,heir results are slightly different from the actual (unknown) values of the corresponding quantities. It is therefore desirable to analyze how this measurement and estimation inaccuracy affects the results of data processing.
肥料
发表于 2025-3-26 05:07:38
http://reply.papertrans.cn/24/2301/230091/230091_27.png
Chameleon
发表于 2025-3-26 11:28:39
978-3-030-08158-4Springer International Publishing AG, part of Springer Nature 2018
残忍
发表于 2025-3-26 13:02:28
https://doi.org/10.1007/978-3-658-02376-8for which, as we mentioned in Chap. ., data processing means using Zadeh’s extension principle, or, equivalently, interval computations on .-cuts. In this case, processing different types of uncertainty separately can drastically speed up computations. For the important case of t-norms different fro
单独
发表于 2025-3-26 18:35:07
Soap Operas im Englischunterrichtis case, in Sect. ., we provide an intuitive explanation for different types of solutions, and in Sect. ., we provide an intuitive explanation for seemingly counter-intuitive methods for solving the corresponding problem. In Sect. ., we consider the case of probabilistic uncertainty. For this case,