Editors:
Part of the book series: Communications in Computer and Information Science (CCIS, volume 1239)
Conference series link(s): IPMU: International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems
Conference proceedings info: IPMU 2020.
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Table of contents (60 papers)
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Front Matter
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Soft Methods in Statistics and Data Analysis
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Front Matter
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Image Understanding and Explainable AI
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Front Matter
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Fuzzy and Generalized Quantifier Theory
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Front Matter
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Mathematical Methods Towards Dealing with Uncertainty in Applied Sciences
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Front Matter
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Other Volumes
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Information Processing and Management of Uncertainty in Knowledge-Based Systems
About this book
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.
Keywords
- artificial intelligence
- computer networks
- computer systems
- computer vision
- correlation analysis
- data mining
- databases
- fuzzy control
- fuzzy logic
- fuzzy reasoning
- fuzzy set theory
- fuzzy sets
- fuzzy systems
- image processing
- information systems
- intuitionistic fuzzy sets
- machine learning
- numerical methods
- probability
- signal processing
Editors and Affiliations
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LIP6-Sorbonne University, Paris, France
Marie-Jeanne Lesot
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IDMEC, IST, Universidade de Lisboa, Lisbon, Portugal
Susana Vieira
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University of Alberta, Edmonton, Canada
Marek Z. Reformat
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INESC, IST, Universidade de Lisboa, Lisbon, Portugal
João Paulo Carvalho
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Eindhoven University of Technology, Eindhoven, The Netherlands
Anna Wilbik
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CNRS-Sorbonne University, Paris, France
Bernadette Bouchon-Meunier
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Iona College, New Rochelle, USA
Ronald R. Yager
Bibliographic Information
Book Title: Information Processing and Management of Uncertainty in Knowledge-Based Systems
Book Subtitle: 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part III
Editors: Marie-Jeanne Lesot, Susana Vieira, Marek Z. Reformat, João Paulo Carvalho, Anna Wilbik, Bernadette Bouchon-Meunier, Ronald R. Yager
Series Title: Communications in Computer and Information Science
DOI: https://doi.org/10.1007/978-3-030-50153-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-50152-5Published: 06 June 2020
eBook ISBN: 978-3-030-50153-2Published: 05 June 2020
Series ISSN: 1865-0929
Series E-ISSN: 1865-0937
Edition Number: 1
Number of Pages: XXII, 833
Number of Illustrations: 264 b/w illustrations, 88 illustrations in colour
Topics: Artificial Intelligence, Mathematics of Computing, Mathematical Logic and Formal Languages, Information Systems Applications (incl. Internet), Computer Systems Organization and Communication Networks, Computer Imaging, Vision, Pattern Recognition and Graphics