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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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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.
Published by
Cham, Switzerland, Springer., 2021
ISBN 10: 3030519481
ISBN 13: 9783030519483
Used
Hardcover
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XVII, 187 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Computational Intelligence. 814. Sprache: Englisch. Seller Inventory # 2256LB
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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 (Hardcover)
Published by
Springer Nature Switzerland AG, Cham, 2020
ISBN 10: 3030519481
ISBN 13: 9783030519483
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Hardcover. Condition: new. Hardcover. 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 unied way. It also examines approximations of four notable probability distributions (Weibull, exponential, logistic and normal) using a unied 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. It also examines approximations of four notable probability distributions (Weibull, exponential, logistic and normal) using a unied probability distribution function, and presents a fuzzy arithmetic-based time series model that provides an easy-to-use forecasting technique. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 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
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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
Published by
Springer International Publishing Aug 2020, 2020
ISBN 10: 3030519481
ISBN 13: 9783030519483
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Hardcover
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
Quantity: 2 available