Uncertainty Quantification and Uncertainty Propagation under Traditional and AI-Based Data Processing (and Related Topics): Legacy of Grigory Tseytin - Studies in Systems, Decision and Control - - Books - Springer Nature Switzerland AG - 9783032164933 - July 17, 2026
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Uncertainty Quantification and Uncertainty Propagation under Traditional and AI-Based Data Processing (and Related Topics): Legacy of Grigory Tseytin - Studies in Systems, Decision and Control

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We need to revisit traditional methods for quantifying and propagating uncertainty, to see how they can help with these new challenges.The book covers uncertainty of measurement results and uncertainty inherent in natural-languages text -- by using both linguistic and traditional AI techniques (e.g., fuzzy).

Media Books     Hardcover Book   (Book with hard spine and cover)
Released July 17, 2026
ISBN13 9783032164933
Publishers Springer Nature Switzerland AG
Pages 351
Dimensions 150 × 220 × 20 mm   ·   709 g
Language German  
Editor Dantsin, Evgeny
Editor Kreinovich, Vladik

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