Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications

Lieferzeit: Lieferbar innerhalb 14 Tagen

106,99 

Studies in Computational Intelligence 814

ISBN: 3030519511
ISBN 13: 9783030519513
Autor: Dombi, József/Jónás, Tamás
Verlag: Springer Verlag GmbH
Umfang: xvii, 187 S., 67 s/w Illustr., 187 p. 67 illus.
Erscheinungsdatum: 13.08.2021
Auflage: 1/2021
Produktform: Kartoniert
Einband: Kartoniert

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.

Artikelnummer: 2666785 Kategorie:

Beschreibung

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 unied way. It also examines approximations of four notable probability distributions (Weibull, exponential, logistic and normal) using a unied 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.   

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