Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas - In Honor of Hung T. Nguyen's 75th Birthday (Paperback, 1st ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 892
Release date:	June 2021
First published:	2021
Editors:	Vladik Kreinovich
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	265
Edition:	1st ed. 2021
ISBN-13:	978-3-03-045621-4
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-045621-8
Barcode:	9783030456214

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