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Information Processing and Management of Uncertainty in Knowledge-Based Systems : 19th International Conference, IPMU 2022, Milan, Italy, July 11–15, 2022, Proceedings, Part II / edited by Davide Ciucci, Inés Couso, Jesús Medina, Dominik Ślęzak, Davide Petturiti, Bernadette Bouchon-Meunier, Ronald R. Yager
(Communications in Computer and Information Science. ISSN:18650937 ; 1602)

データ種別 電子ブック
1st ed. 2022.
出版者 (Cham : Springer International Publishing : Imprint: Springer)
出版年 2022
大きさ XXVI, 792 p. 197 illus., 162 illus. in color : online resource
著者標目 Ciucci, Davide editor
Couso, Inés editor
Medina, Jesús editor
Ślęzak, Dominik editor
Petturiti, Davide editor
Bouchon-Meunier, Bernadette editor
Yager, Ronald R editor
SpringerLink (Online service)

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射水-電子 007 EB0002255 Computer Scinece R0 2005-6,2022-3

9783031089749

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一般注記 Data Science and Machine Learning -- Decision Making Modeling and Applications -- E-Health -- Fuzzy Methods in Data Mining and Knowledge Discovery -- Soft Computing and Artificia Intelligence Techniques in Image Processing -- Soft Methods in Statistics and Data Analysis -- Uncertainty, Heterogeneity, Reliability and Explainability in AI -- Weak and Cautious Supervised Learning
This two-volume set (CCIS 1601-1602) constitutes the proceedings of the 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2021, held in Milan, Italy, in July 2022. The 124 papers were carefully reviewed and selected from 188 submissions. The papers are organized in topical sections as follows: aggregation theory beyond the unit interval; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy mathematical analysis and its applications; generalized sets and operators; information fusion techniques based on aggregation functions, pre-aggregation functions, and their generalizations; interval uncertainty; knowledge acquisition, representation and reasoning; logical structures of opposition and logical syllogisms; mathematical fuzzy logics; theoretical and applied aspects of imprecise probabilities; data science and machine learning; decision making modeling and applications; e-health; fuzzy methods in data mining and knowledge discovery; soft computing and artificia intelligence techniques in image processing; soft methods in statistics and data analysis; uncertainty, heterogeneity, reliability and explainability in AI; weak and cautious supervised learning
HTTP:URL=https://doi.org/10.1007/978-3-031-08974-9
件 名 LCSH:Artificial intelligence
LCSH:Computer engineering
LCSH:Computer networks 
LCSH:Machine theory
LCSH:Image processing -- Digital techniques  全ての件名で検索
LCSH:Computer vision
LCSH:Numerical analysis
LCSH:Social sciences -- Data processing  全ての件名で検索
FREE:Artificial Intelligence
FREE:Computer Engineering and Networks
FREE:Formal Languages and Automata Theory
FREE:Computer Imaging, Vision, Pattern Recognition and Graphics
FREE:Numerical Analysis
FREE:Computer Application in Social and Behavioral Sciences
分 類 LCC:Q334-342
LCC:TA347.A78
DC23:006.3
書誌ID EB00001643
ISBN 9783031089749

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