Handling Uncertainty in Artificial Intelligence - Softcover

Chaki, Jyotismita

 
9789819953349: Handling Uncertainty in Artificial Intelligence

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Inhaltsangabe

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.

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Weitere beliebte Ausgaben desselben Titels

9789819953325: Handling Uncertainty in Artificial Intelligence (SpringerBriefs in Applied Sciences and Technology)

Vorgestellte Ausgabe

ISBN 10:  9819953324 ISBN 13:  9789819953325
Verlag: Springer-Verlag GmbH, 2023
Softcover