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Titlebook: Decision Making under Constraints; Martine Ceberio,Vladik Kreinovich Book 2020 Springer Nature Switzerland AG 2020 Computational Intellige

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發(fā)表于 2025-3-21 19:18:18 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Decision Making under Constraints
編輯Martine Ceberio,Vladik Kreinovich
視頻videohttp://file.papertrans.cn/265/264239/264239.mp4
概述Presents extended versions of selected papers from the annual International Workshops on Constraint Programming and Decision Making from 2016 to 2018.Addresses all stages of decision-making under cons
叢書名稱Studies in Systems, Decision and Control
圖書封面Titlebook: Decision Making under Constraints;  Martine Ceberio,Vladik Kreinovich Book 2020 Springer Nature Switzerland AG 2020 Computational Intellige
描述.This book presents extended versions of selected papers from the annual International Workshops on Constraint Programming and Decision Making from 2016 to 2018. The papers address all stages of decision-making under constraints: (1) precisely formulating the problem of multi-criteria decision-making; (2) determining when the corresponding decision problem is algorithmically solvable; (3) finding the corresponding algorithms and making these algorithms as efficient as possible; and (4) taking into account interval, probabilistic, and fuzzy uncertainty inherent in the corresponding decision-making problems. In many application areas, it is necessary to make effective decisions under constraints, and there are several area-specific techniques for such decision problems. However, because they are area-specific, it is not easy to apply these techniques in other application areas. As such, the annual International Workshops on Constraint Programming and Decision Making focus on cross-fertilization between different areas, attracting researchers and practitioners from around the globe. The book includes numerous papers describing applications, in particular, applications to engineering,
出版日期Book 2020
關(guān)鍵詞Computational Intelligence; Constraint Programming; Decision Making; Decision Making Under Constraints;
版次1
doihttps://doi.org/10.1007/978-3-030-40814-5
isbn_softcover978-3-030-40816-9
isbn_ebook978-3-030-40814-5Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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發(fā)表于 2025-3-21 21:50:44 | 只看該作者
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板凳
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Italian Folk Multiplication Algorithm Is Indeed Better: It Is More Parallelizable,gorithms traditionally used by their ethnic group—or simply to their sense of curiosity. Somewhat surprisingly, we show that one of these algorithms—a traditional Italian multiplication algorithm—is actually in some reasonable sense better than the algorithm that we all normally use—namely, it is easier to parallelize.
地板
發(fā)表于 2025-3-22 06:37:50 | 只看該作者
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Database and Expert Systems Applicationsy changing circumstances is often not a good idea, the existence of a pre-computed original plan enables us to produce an almost-optimal strategy—a strategy that would have been computationally difficult to produce on a short notice without the pre-existing plan.
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