TY - BOOK AU - Ciucci,Davide AU - Couso,Inés AU - Medina,Jesús AU - Ślęzak,Dominik AU - Petturiti,Davide AU - Bouchon-Meunier,Bernadette AU - Yager,Ronald R. TI - Information Processing and Management of Uncertainty in Knowledge-Based Systems: 19th International Conference, IPMU 2022, Milan, Italy, July 11-15, 2022, Proceedings, Part II T2 - Communications in Computer and Information Science, SN - 9783031089749 U1 - 006.3 23 PY - 2022/// CY - Cham PB - Springer International Publishing, Imprint: Springer KW - Artificial intelligence KW - Computer engineering KW - Computer networks  KW - Machine theory KW - Image processing-Digital techniques KW - Computer vision KW - Numerical analysis KW - Social sciences-Data processing KW - Artificial Intelligence KW - Computer Engineering and Networks KW - Formal Languages and Automata Theory KW - Computer Imaging, Vision, Pattern Recognition and Graphics KW - Numerical Analysis KW - Computer Application in Social and Behavioral Sciences N1 - 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 N2 - 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 UR - https://doi.org/10.1007/978-3-031-08974-9 ER -