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Handling Uncertainty in Artificial Intelligence

By (author) Jyotismita Chaki

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normal price: R 1 707.95

Price: R 1 536.95


| book 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.

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Normally shipped | This title will take longer to obtain, and should be delivered in 6-8 weeks
Publisher | Springer Verlag, Singapore
Published date | 7 Aug 2023
Language |
Format | Paperback / softback
Pages | 101
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-9-8199-5332-5
Readership Age |
BISAC | computers / artificial intelligence


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Normally shipped | Usually dispatched in 3 to 4 weeks as supplier is out of stock
Readership Age |
Normal Price | R 2 114.95
Price | R 1 903.95 | on special |



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