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

Published by Springer, 2020

About this Item

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.

Seller Inventory # 1EYX65000MPG_ns

Bibliographic Details

• Title: Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications (Studies in Computational Intelligence, 814)
• Publisher: Springer
• Publication Date: 2020
• Language: English
• ISBN 10: 3030519481
• ISBN 13: 9783030519483
• Binding: Hardcover
• Condition: good

About this title

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.