Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications: 814 (Studies in Computational Intelligence, 814) - Image 1

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Springer Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications: 814 (Studies in Computational Intelligence, 814)

Name: Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications: 814 (Studies in Computational Intelligence, 814)
Brand: Springer
Price: 79.99 GBP
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Description

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.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3030519481
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 12 August 2020
Listed Since: 27 May 2020

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Springer Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications: 814 (Studies in Computational Intelligence, 814)

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