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Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications (Studies in Computational Intelligence, 814) - Hardcover
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.
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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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Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications
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Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications.
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Cham, Switzerland, Springer., 2021
ISBN 10: 3030519481
ISBN 13: 9783030519483
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Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications (Studies in Computational Intelligence, 814)
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Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications (Studies in Computational Intelligence, 814)
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Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods With Applications
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ADVANCES IN THE THEORY OF PROBABILISTIC AND FUZZY DATA SCIENTIFIC METHODS WITH APPLICATIONS
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Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications (Studies in Computational Intelligence, 814)
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Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications
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Springer International Publishing Aug 2020, 2020
ISBN 10: 3030519481
ISBN 13: 9783030519483
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 208 pp. Englisch. Seller Inventory # 9783030519483
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Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods With Applications
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