Handling Uncertainty in Artificial Intelligence

Handling Uncertainty in Artificial Intelligence

by Jyotismita Chaki
Epub (Kobo), Epub (Adobe)
Publication Date: 06/08/2023

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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 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.

ISBN:
9789819953332
9789819953332
Category:
Engineering: general
Format:
Epub (Kobo), Epub (Adobe)
Publication Date:
06-08-2023
Language:
English
Publisher:
Springer Nature Singapore

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