Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications (Studies in Computational Intelligence, 814)

Dombi, József; Jónás, Tamás

ISBN 10: 3030519481 / ISBN 13: 9783030519483

Edité par Springer, 2020

This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting. N° de réf. du vendeur 1EYX65000MPG_ns

Synopsis :

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.

Détails bibliographiques

Titre : Advances in the Theory of Probabilistic and ...
Éditeur : Springer
Date d'édition : 2020
Reliure : Couverture rigide
Etat : good