Information Processing and Management of Uncertainty in Knowledge-Based Systems (eBook, PDF)

18th International Conference, IPMU 2020, Lisbon, Portugal, June 15-19, 2020, Proceedings, Part I
Redaktion: Lesot, Marie-Jeanne; Yager, Ronald R.; Bouchon-Meunier, Bernadette; Wilbik, Anna; Carvalho, João Paulo; Reformat, Marek Z.; Vieira, Susana

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 753
• Erscheinungstermin: 5. Juni 2020
• Englisch
• ISBN-13: 9783030501464
• Artikelnr.: 59575153

Inhaltsangabe

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.