ENGLISH

Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas: In Honor of Hung T. Nguyen's 75th Birthday

By Vladik Kreinovich

Book information

Publisher
Springer International Publishing;Springer
Year
2021
ISBN
9783030456184, 9783030456191
DOI
10.1007/978-3-030-45619-1
Language
english
Format
PDF
Filesize
7 MB (7362212 bytes)
Series
Studies in Computational Intelligence 892
Edition
1st ed.
Pages
XIV, 265\271
Time added
2021-01-06 05:41:07
Engineering; Computational Intelligence; Engineeri

Description

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.

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