Information Processing and Management of Uncertainty in Knowledge-Based Systems

This three volume set (CCIS 1237-1239) constitutes the proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020. The conference was scheduled to take place in Lisbon, Portugal, at University of Lisbon, but due to COVID-19 pandemic it was held virtually.

The 173 papers were carefully reviewed and selected from 213 submissions. The papers are organized in topical sections: homage to Enrique Ruspini; invited talks; foundations and mathematics; decision making, preferences and votes; optimization and uncertainty; games; real world applications; knowledge processing and creation; machine learning I; machine learning II; XAI; image processing; temporal data processing; text analysis and processing; fuzzy interval analysis; theoretical and applied aspects of imprecise probabilities; similarities in artificial intelligence; belief function theory and its applications; aggregation: theory and practice; aggregation: pre-aggregation functions and other generalizations of monotonicity; aggregation: aggregation of different data structures; fuzzy methods in data mining and knowledge discovery; computational intelligence for logistics and transportation problems; fuzzy implication functions; soft methods in statistics and data analysis; image understanding and explainable AI; fuzzy and generalized quantifier theory; mathematical methods towards dealing with uncertainty in applied sciences; statistical image processing and analysis, with applications in neuroimaging; interval uncertainty; discrete models and computational intelligence; current techniques to model, process and describe time series; mathematical fuzzy logic and graded reasoning models; formal concept analysis, rough sets, general operators and related topics; computational intelligence methods in information modelling, representation and processing.

Homage to Enrique Ruspini. - Invited Talks. - Foundations and Mathematics. - Decision Making, Preferences and Votes. - Optimization and Uncertainty. Games. - Real World Applications. - Knowledge Processing and Creation. - Machine Learning I. - Machine Learning II. XAI. - Image Processing. - Temporal Data Processing. - Text Analysis and Processing. - Fuzzy Interval Analysis. - Theoretical and Applied Aspects of Imprecise Probabilities. - Similarities in Artifcial Intelligence. - Belief Function Theory and its Applications. - Aggregation: Theory and Practice. - Aggregation: Pre-aggregation Functions and other Generalizations of Monotonicity. - Aggregation: Aggregation of Di erent Data Structures. - Fuzzy methods in Data Mining and Knowledge Discovery. - Computational Intelligence for Logistics and Transportation Problems. - Fuzzy Implication Functions. - Soft Methods in Statistics and Data Analysis. - Image Understanding and Explainable AI. - Fuzzy and Generalized Quantifer Theory. - Mathematical Methods Towards Dealing with Uncertainty in Applied Sciences. - Statistical Image Processing and Analysis, with Applications in Neuroimaging. - Interval Uncertainty. - Discrete Models and Computational Intelligence. - Current Techniques to Model, Process and Describe Time Series. - Mathematical Fuzzy Logic and Graded Reasoning Models. - Formal Concept Analysis, Rough Sets, General Operators and Related Topics. - Computational Intelligence Methods in Information Modelling, Representation and Processing.