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 w...
Mục lục
Introduction to handling uncertainty in artificial intelligence.- Probability and Bayesian Theory to Handle Uncertainty in artificial intelligence.- The Dempster-Shafer Th...
Giới thiệu về tác giả
JYOTISMITA CHAKI, Ph D. is an Associate Professor in School of Computer Science and Engineering at Vellore Institute of Technology, Vellore, India. Her researc...
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