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

Dombi, Jozsef/ Jonas, Tamas

ISBN 10: 3030519511 / ISBN 13: 9783030519513

Editore: Springer-Nature New York Inc, 2021

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204 pages. 9.25x6.10x0.47 inches. In Stock.

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Dati bibliografici

• Titolo: Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods With Applications
• Editore: Springer-Nature New York Inc
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 3030519511
• ISBN 13: 9783030519513
• Rilegatura: Paperback
• Condizione: Brand New

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Riassunto

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.