Information Processing and Management of Uncertainty in Knowledge-Based Systems
Description
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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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.
