Handling uncertainty in artificial intelligence / Jyotismita Chaki.

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 wil...

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Bibliographic Details
Main Author: Chaki, Jyotismita (Author)
Format: eBook
Language:English
Published: Singapore : Springer, [2023]
Series:SpringerBriefs in applied sciences and technology. Computational intelligence.
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