UID:
almahu_9948612945802882
Umfang:
XIV, 265 p. 38 illus., 33 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2021.
ISBN:
9783030456191
Serie:
Studies in Computational Intelligence, 892
Inhalt:
Mainly focusing on processing uncertainty, this book presents state-of-the-art techniques and demonstrates their use in applications to econometrics and other areas. Processing uncertainty is essential, considering that computers - which help us understand real-life processes and make better decisions based on that understanding - get their information from measurements or from expert estimates, neither of which is ever 100% accurate. Measurement uncertainty is usually described using probabilistic techniques, while uncertainty in expert estimates is often described using fuzzy techniques. Therefore, it is important to master both techniques for processing data. This book is highly recommended for researchers and students interested in the latest results and challenges in uncertainty, as well as practitioners who want to learn how to use the corresponding state-of-the-art techniques. .
Anmerkung:
Vitae of Hung T. Nguyen -- Almost half a century after our encounter with the theory of information proposed by Joseph Kampé de Fériet -- An Enjoyable Research Journey on Uncertainty -- A Bayesian Dilemma -- The Fell compactification of a poset. .
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783030456184
Weitere Ausg.:
Printed edition: ISBN 9783030456207
Weitere Ausg.:
Printed edition: ISBN 9783030456214
Sprache:
Englisch
Fachgebiete:
Informatik
DOI:
10.1007/978-3-030-45619-1
URL:
https://doi.org/10.1007/978-3-030-45619-1
URL:
Volltext
(URL des Erstveröffentlichers)
