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Titlebook: Integrated Uncertainty in Knowledge Modelling and Decision Making; 7th International Sy Hirosato Seki,Canh Hao Nguyen,Masahiro Inuiguchi Co

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發(fā)表于 2025-3-21 16:29:47 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Integrated Uncertainty in Knowledge Modelling and Decision Making
副標(biāo)題7th International Sy
編輯Hirosato Seki,Canh Hao Nguyen,Masahiro Inuiguchi
視頻videohttp://file.papertrans.cn/469/468678/468678.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Integrated Uncertainty in Knowledge Modelling and Decision Making; 7th International Sy Hirosato Seki,Canh Hao Nguyen,Masahiro Inuiguchi Co
描述This book constitutes the refereed proceedings of the 7th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2019, held in Nara, Japan, in March 2019..The 37 revised full papers presented were carefully reviewed and selected from 93 submissions. The papers deal with all aspects of uncertainty modelling and management and are organized in topical sections on uncertainty management and decision support; econometrics; machine learning; machine learning applications; and statistical methods..
出版日期Conference proceedings 2019
關(guān)鍵詞artificial intelligence; big data; classification; computer vision; data mining; fuzzy logic; fuzzy sets; f
版次1
doihttps://doi.org/10.1007/978-3-030-14815-7
isbn_softcover978-3-030-14814-0
isbn_ebook978-3-030-14815-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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發(fā)表于 2025-3-21 23:51:50 | 只看該作者
Integrated Uncertainty in Knowledge Modelling and Decision Making978-3-030-14815-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
板凳
發(fā)表于 2025-3-22 03:31:48 | 只看該作者
https://doi.org/10.1007/978-3-030-14815-7artificial intelligence; big data; classification; computer vision; data mining; fuzzy logic; fuzzy sets; f
地板
發(fā)表于 2025-3-22 08:00:09 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/468678.jpg
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發(fā)表于 2025-3-22 12:12:37 | 只看該作者
Scientometric Indices Based on Integrals and Their Adaptation in Different Domainsndex is proposed. Similarly, some other bibliometric indices are represented by means of particular universal integrals, and some new indices are proposed. More, a proposal based on modification of considered monotone measures allowing to compensate differences between particular scientific domains is presented and discussed.
6#
發(fā)表于 2025-3-22 15:08:08 | 只看該作者
Probability-Based Approach Explains (and Even Improves) Heuristic Formulas of Defuzzificationa convincing justification, and thus, users are sometimes reluctant to use them. In this paper, we show that we can justify (and sometimes even improve) these methods if we use a probability-based approach.
7#
發(fā)表于 2025-3-22 18:52:06 | 只看該作者
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發(fā)表于 2025-3-22 23:56:43 | 只看該作者
Overtime Assignment and Job Satisfaction in Noise-Safe Job Rotation Schedulingtives: minimizing the total labor cost and maximizing the minimum level of worker satisfaction. Then, a multi-objective optimization technique is applied to find the most suitable compromise solution between the two objectives. The ability of the proposed models to promote worker-satisfaction equality is discussed.
9#
發(fā)表于 2025-3-23 03:59:24 | 只看該作者
Sampling Strategies for Fuzzy RANSAC Algorithm Based on Reinforcement Learning learning through modeling synthetic data of fuzzy modeling and camera homography experiments. Their results found the proposed ε-roulette strategy to be promising in improving calculation time, model optimality, and robustness in modeling performance.
10#
發(fā)表于 2025-3-23 08:24:25 | 只看該作者
Conference proceedings 2019, IUKM 2019, held in Nara, Japan, in March 2019..The 37 revised full papers presented were carefully reviewed and selected from 93 submissions. The papers deal with all aspects of uncertainty modelling and management and are organized in topical sections on uncertainty management and decision suppor
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