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Titlebook: Artificial Intelligence in Control and Decision-making Systems; Dedicated to Profess Yuriy P. Kondratenko,Vladik Kreinovich,Anna M. Gil Boo

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樓主: Croching
21#
發(fā)表于 2025-3-25 03:52:58 | 只看該作者
https://doi.org/10.1007/978-3-031-25759-9Computational Intelligence; Control; Control Theory; Artificial Intelligence; Decision-Making
22#
發(fā)表于 2025-3-25 07:29:06 | 只看該作者
978-3-031-25761-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
23#
發(fā)表于 2025-3-25 11:56:24 | 只看該作者
24#
發(fā)表于 2025-3-25 17:57:01 | 只看該作者
https://doi.org/10.1007/978-3-658-20740-3swering questions containing user-defined, personalized linguistic terms. The system works with information represented in the form of knowledge graphs. We describe the system and present its main components, emphasizing a few extensions that make the system distinctive. We illustrate the execution of the system with a few examples.
25#
發(fā)表于 2025-3-25 20:12:26 | 只看該作者
26#
發(fā)表于 2025-3-26 00:15:43 | 只看該作者
Book 2023ence techniques for modeling, optimization, control and decision-making together with applications and case studies in engineering, management and economic sciences..?Dedicated to the Academician of the?Polish Academy of Sciences, Professor Janusz Kacprzyk in recognition of his pioneering work, the
27#
發(fā)表于 2025-3-26 06:02:54 | 只看該作者
Yvonne Mitschka,Jan-Philipp Büchlerear system and one real-valued linear system. In the case of fuzzy trapezoidal intervals, there are two interval linear systems to solve rather than a continuum. The basis of the algorithm is a series of interval optimizations. Examples and access to Python code are provided.
28#
發(fā)表于 2025-3-26 09:52:05 | 只看該作者
29#
發(fā)表于 2025-3-26 12:59:53 | 只看該作者
Professionelles Handeln und Fallverstehendal networks as function approximators are shown to be generally superior to sigmoidal one by reason of the flexibility introduced and/or in terms of degrees of freedom of the model. As a by-product, the proposed activation function allows to carry out data-driven detections of nonlinearity in the data.
30#
發(fā)表于 2025-3-26 17:59:04 | 只看該作者
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