Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications (Hardcover, 1st ed. 2021)

This book focuses on the advanced soft computational and probabilistic methods that the authors have published over the past few years. It describes theoretical results and applications, and discusses how various uncertainty measures - probability, plausibility and belief measures - can be treated in a unified way. It also examines approximations of four notable probability distributions (Weibull, exponential, logistic and normal) using a unified probability distribution function, and presents a fuzzy arithmetic-based time series model that provides an easy-to-use forecasting technique. Lastly, it proposes flexible fuzzy numbers for Likert scale-based evaluations. Featuring methods that can be successfully applied in a variety of areas, including engineering, economics, biology and the medical sciences, the book offers useful guidelines for practitioners and researchers.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 814
Release date:	August 2020
First published:	2021
Authors:	Jozsef Dombi • Tamas Jonas
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	187
Edition:	1st ed. 2021
ISBN-13:	978-3-03-051948-3
Categories:	Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-051948-1
Barcode:	9783030519483

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