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Titlebook: 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-; Rafik A. Aliev,Janusz Kacprzyk,Fahre

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發(fā)表于 2025-3-28 17:53:17 | 只看該作者
42#
發(fā)表于 2025-3-28 21:51:15 | 只看該作者
13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-978-3-030-04164-9Series ISSN 2194-5357 Series E-ISSN 2194-5365
43#
發(fā)表于 2025-3-29 00:22:03 | 只看該作者
Rafik A. Aliev,Janusz Kacprzyk,Fahreddin M. SadikoPresents recent research on the theory and application of fuzzy systems and soft computing.Features articles from the 13th International Conference on Application of Fuzzy Systems and Soft Computing (
44#
發(fā)表于 2025-3-29 06:59:00 | 只看該作者
Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/012/image/100315.jpg
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發(fā)表于 2025-3-29 09:31:41 | 只看該作者
https://doi.org/10.1007/978-3-322-97269-9In the paper authors try to convince readers that application of multidimensional fuzzy arithmetic (MFAr) is useful because this arithmetic delivers more precise solutions of uncertain problems than low-dimensional fuzzy arithmetic, which is mostly used at present.
46#
發(fā)表于 2025-3-29 14:52:14 | 只看該作者
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發(fā)表于 2025-3-29 19:16:18 | 只看該作者
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發(fā)表于 2025-3-29 21:18:13 | 只看該作者
49#
發(fā)表于 2025-3-30 03:54:31 | 只看該作者
https://doi.org/10.1007/978-3-322-97190-6t of the increasing use of such data in data mining, many data analysis methods have been extended to interval data this last decade. The Expectation-Maximization (EM) algorithm has been widely used for maximum likelihood estimation of parameters in statistical models, where the model depends on uno
50#
發(fā)表于 2025-3-30 07:12:01 | 只看該作者
über das Problem der Reparationened to alternate natural experiments. These approaches include data mining, machine learning and computational intelligence tools that rely on big data on material characteristics collected over long period experiments. One of the important issues in solving these problems is imperfect nature of info
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