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 (Editor)

Overview

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.

Product Details

ISBN-13:	9783030456184
Publisher:	Springer International Publishing
Publication date:	06/19/2020
Series:	Studies in Computational Intelligence , #892
Edition description:	1st ed. 2021
Pages:	265
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

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.