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 |
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版 | 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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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 |
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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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