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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 III (1st ed. 2020)

By: Bouchon-Meunier, Bernadette(Edited by) Carvalho, Joao Paulo(Edited by) Lesot, Marie-Jeanne(Edited by) Reformat, Marek Z.(Edited by) Vieira, Susana(Edited by) Wilbik, Anna(Edited by) Yager, Ronald R.(Edited by)

Part of the Communications in Computer and Information Science series
3030501523 / 9783030501525
Paperback / softback
06/06/2020
Usually dispatched within 4 weeks
Switzerland
155 x 235 mm, 1288 grams 833 pages, 88 Illustrations, color; 264 Illustrations, black and white; XXII, 833 p. 352 illus., 88
Professional & Vocational  Learn More

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.

BIC:

UNH Information retrieval, UT Computer networking & communications, UYA Mathematical theory of computation, UYQ Artificial intelligence

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