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Information Processing and Management of Uncertainty in Knowledge-Based Systems - 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15-19, 2020, Proceedings, Part I (Paperback, 1st ed. 2020)
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Information Processing and Management of Uncertainty in Knowledge-Based Systems - 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15-19, 2020, Proceedings, Part I (Paperback, 1st ed. 2020)
Series: Communications in Computer and Information Science, 1237
Expected to ship within 10 - 15 working days
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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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