Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods With Applications by Dombi, Jozsef/ Jonas, Tamas: Brand New Hardcover (2020)

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204 pages. 9.25x6.10x9.21 inches. In Stock.

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Bibliographic Details

Title: Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods With Applications
Publisher: Springer-Nature New York Inc
Publication Date: 2020
Language: English
ISBN 10: 3030519481
ISBN 13: 9783030519483
Binding: Hardcover
Condition: Brand New

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.

From the Back Cover

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.

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