Handling Uncertainty in Artificial Intelligence - Brossura

Chaki, Jyotismita

Brossura

ISBN 10: 9819953340 ISBN 13: 9789819953349

Casa editrice: Springer, 2023

Riassunto

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.

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 9819953340
• ISBN 13: 9789819953349
• Rilegatura: Copertina flessibile
• Numero di pagine: 116
• Contatto del produttore: Elevation; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; 22391; Germania