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Handling Uncertainty in Artificial Intelligence
Paperback
Technology & EngineeringGeneral ComputersProgramming
ISBN13: 9789819953325
Publisher: Springer
Published: Aug 7 2023
Pages: 101
Weight: 0.45
Height: 0.32 Width: 5.98 Depth: 9.13
Language: English
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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