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Handling Uncertainty in Artificial Intelligence

Handling Uncertainty in Artificial Intelligence

von Jyotismita Chaki
Softcover - 9789819953325
53,49 €
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Beschreibung

This book demonstrates different methods (as well as real-life examples) of handling uncertainty like probability and Bayesian theory, Dempster-Shafer theory, certainty factor and evidential reasoning, fuzzy logic-based approach, utility theory and expected utility theory. At the end, highlights will be on the use of these methods which can help to make decisions under uncertain situations. This book assists scholars and students who might like to learn about this area as well as others who may have begun without a formal presentation. The book is comprehensive, but it prohibits unnecessary mathematics.

Details

Verlag Springer Singapore
Ersterscheinung 07. August 2023
Maße 23.5 cm x 15.5 cm
Gewicht 211 Gramm
Format Softcover
ISBN-13 9789819953325
Seiten 101

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