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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: Communications in Computer and Information Science, cartea 1602

Editat de Davide Ciucci, Inés Couso, Jesús Medina, Dominik Ślęzak, Davide Petturiti, Bernadette Bouchon-Meunier, Ronald R. Yager
en Limba Engleză Paperback – 26 iun 2022
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.

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Specificații

ISBN-13: 9783031089732
ISBN-10: 3031089731
Pagini: 792
Ilustrații: XXVI, 792 p. 197 illus., 162 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.13 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

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.