04592nam 22007935 450 991058017320332120251113185712.03-031-08974-X10.1007/978-3-031-08974-9(CKB)5700000000100493(MiAaPQ)EBC7029184(Au-PeEL)EBL7029184(PPN)26389827X(OCoLC)1336494870(DE-He213)978-3-031-08974-9(EXLCZ)99570000000010049320220625d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierInformation 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. Yager1st ed. 2022.Cham :Springer International Publishing :Imprint: Springer,2022.1 online resource (807 pages)Communications in Computer and Information Science,1865-0937 ;16023-031-08973-1 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.Communications in Computer and Information Science,1865-0937 ;1602Artificial intelligenceComputer engineeringComputer networksMachine theoryImage processingDigital techniquesComputer visionNumerical analysisSocial sciencesData processingArtificial IntelligenceComputer Engineering and NetworksFormal Languages and Automata TheoryComputer Imaging, Vision, Pattern Recognition and GraphicsNumerical AnalysisComputer Application in Social and Behavioral SciencesArtificial intelligence.Computer engineering.Computer networks.Machine theory.Image processingDigital techniques.Computer vision.Numerical analysis.Social sciencesData processing.Artificial Intelligence.Computer Engineering and Networks.Formal Languages and Automata Theory.Computer Imaging, Vision, Pattern Recognition and Graphics.Numerical Analysis.Computer Application in Social and Behavioral Sciences.006.33006.33Ciucci DavideMiAaPQMiAaPQMiAaPQBOOK9910580173203321Information Processing and Management of Uncertainty in Knowledge-Based Systems1942968UNINA