Handling Uncertainty in Artificial Intelligence

by Jyotismita Chaki

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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...

Format:Paperback

Language:English

ISBN:9819953324

ISBN13:9789819953325

Release Date:August 2023

Publisher:Springer

Length:101 Pages

Weight:0.45 lbs.

Dimensions:0.3" x 6.0" x 9.1"

Related Subjects

Computers Computers & Technology Engineering Technology

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Handling Uncertainty in Artificial Intelligence

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