Handling uncertainty in artificial intelligence
Auteur :
Chaki, Jyotismita
Éditeur :
Springer Verlag, Singapore
ISBN :
9789819953325
Date de publication :
7 août 2023
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Singapour
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.