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Statistical and fuzzy approaches to ...

Kreinovich, Vladik.

Statistical and fuzzy approaches to data processing, with applications to econometrics and other areasin honor of Hung T. Nguyen's 75th birthday /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistical and fuzzy approaches to data processing, with applications to econometrics and other areasedited by Vladik Kreinovich.
Reminder of title:	in honor of Hung T. Nguyen's 75th birthday /
other author:	Kreinovich, Vladik.
Published:	Cham :Springer International Publishing :2021.
Description:	xiv, 265 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Fuzzy sets.
Online resource:	https://doi.org/10.1007/978-3-030-45619-1
ISBN:	9783030456191$q(electronic bk.)

Statistical and fuzzy approaches to data processing, with applications to econometrics and other areasin honor of Hung T. Nguyen's 75th birthday /
Statistical and fuzzy approaches to data processing, with applications to econometrics and other areasin honor of Hung T. Nguyen's 75th birthday /[electronic resource] :edited by Vladik Kreinovich. - Cham :Springer International Publishing :2021. - xiv, 265 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.8921860-949X ;. - Studies in computational intelligence ;v. 216..

Vitae of Hung T. Nguyen -- Almost half a century after our encounter with the theory of information proposed by Joseph Kampe de Feriet -- An Enjoyable Research Journey on Uncertainty -- A Bayesian Dilemma -- The Fell compactification of a poset.

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.

ISBN: 9783030456191$q(electronic bk.)

Standard No.: 10.1007/978-3-030-45619-1doiSubjects--Topical Terms:

182529
Fuzzy sets.

LC Class. No.: QA248 / .S73 2021

Dewey Class. No.: 511.3223

Statistical and fuzzy approaches to data processing, with applications to econometrics and other areasin honor of Hung T. Nguyen's 75th birthday /
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520 $a 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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