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Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications. 2021 ed.

Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications. 2021 ed.

・ISBN 978-3-030-51951-3 paper EUR 99.99

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お気に入り
著者・編者Dombi, Jozsef / Jonas, Tamas,
シリーズ (Studies in Computational Intelligence)
出版社 (Springer Nature Switzerland AG, SZ)
出版年月2021
ページ数187 pp.
言語ENG
ニュース番号<A03-94815>

解説

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.