Detailansicht
Handling Uncertainty in Artificial Intelligence
SpringerBriefs in Applied Sciences and Technology - SpringerBriefs in Computational Intelligence
ISBN/EAN: 9789819953325
Umbreit-Nr.: 173005
Sprache:
Englisch
Umfang: xiii, 101 S., 40 s/w Illustr., 2 farbige Illustr.,
Format in cm:
Einband:
kartoniertes Buch
Erschienen am 07.08.2023
Auflage: 1/2024
- Zusatztext
- 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.
- Kurztext
- Demonstrates different numeric and symbolic methods of handling uncertainty in artificial intelligenceHighlights on making decisions under uncertain situationIncludes examples of real-life uncertain situations which will enhance the understandability of the reader
- Autorenportrait
- Jyotismita Chaki, Ph.D., is Associate Professor at School of Computer Science and Engineering at Vellore Institute of Technology, Vellore, India. She has done her Ph.D. (Engg.) from Jadavpur University, Kolkata, India. Her research interests include: Artificial Intelligence, Machine Learning, Medical Imaging, Computer Vision and Image Processing. She has authored more than fifty international conferences and journal papers. She is Author and Editor of more than ten books. Currently, she is Academic Editor of PLOS ONE journal (SCIE Indexed); Section and Academic Editor of PeerJ Computer Science journal (SCIE Indexed); Associate Editor of IET Image Processing Journal (SCIE Indexed); and Editor of Engineering Applications of Artificial Intelligence Journal, Elsevier (SCIE Indexed), Array journal (Elsevier) and Machine Learning with Applications (Elsevier).