Handling Uncertainty in Artificial Intelligence Paperback / softback
by Jyotismita Chaki
Part of the SpringerBriefs in Computational Intelligence series
Paperback / softback
Description
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.
Information
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Out of stock
- Format:Paperback / softback
- Pages:101 pages, 2 Illustrations, color; 40 Illustrations, black and white; XIII, 101 p. 42 illus., 2 illu
- Publisher:Springer Verlag, Singapore
- Publication Date:07/08/2023
- Category:
- ISBN:9789819953325
Information
-
Out of stock
- Format:Paperback / softback
- Pages:101 pages, 2 Illustrations, color; 40 Illustrations, black and white; XIII, 101 p. 42 illus., 2 illu
- Publisher:Springer Verlag, Singapore
- Publication Date:07/08/2023
- Category:
- ISBN:9789819953325
