ENGLISH

Handling Uncertainty in Artificial Intelligence (SpringerBriefs in Applied Sciences and Technology)

By Jyotismita Chaki

Book information

Publisher
Springer
Year
2023
ISBN
9819953324, 9789819953325
Language
english
Format
PDF
Filesize
2 MB (2610236 bytes)
Pages
114\111
Time added
2024-04-09 05:28:56

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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