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

1. Auflage 2021
ISBN: 978-3-030-51948-3
Verlag: Springer International Publishing

Buch, Englisch, Band 814, 187 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 483 g

Reihe: Studies in Computational Intelligence

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

Zielgruppe

Research

Autoren/Hrsg.

Jónás, Tamás

Dombi, József

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Fuzzy-Systeme

Inhaltsverzeichnis

Belief, probability and plausibility.- ?-additive and ?-additive measures.- The pliant probability distribution family.- A fuzzy arithmetic-based time series model.- Likert scale-based evaluations with ?exible fuzzy numbers.- Bibliography.