Information Processing and Management of Uncertainty in Knowledge-Based Systems

Name: Information Processing and Management of Uncertainty in Knowledge-Based Systems
Brand: Springer Nature Switzerland AG
SKU: 9783030501426
Price: 431.81 PLN
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Autor: Jo?o Paulo Carvalho, Marie-Jeanne Lesot, Marek Z. Reformat, Susana Vieira, Anna Wilbik, Ronald R. Yager

Język:

Oprawa: Miękka

Wydawca: Springer Nature Switzerland AG

Dostępność: Dostępna u dostawcy

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This three volume set (CCIS 1237-1239) constitutes the proceedings of the 18th International Confere...

Informacje o książce

Autor

Jo?o Paulo Carvalho, Marie-Jeanne Lesot, Marek Z. Reformat, Susana Vieira, Anna Wilbik, Ronald R. Yager

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2020

strony

807

EAN

9783030501426

ISBN

3030501426

Enbook ID

32882560

Wydawca

Springer Nature Switzerland AG

Waga

1252

Wymiary

155 x 235 x 45

Pełny opis

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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