Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications - Couverture souple

Dombi, J�zsef; J�n�s, Tam�s

9783030519513: Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications

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ISBN 10 : 3030519511 ISBN 13 : 9783030519513

Editeur : Springer, 2021

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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.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteurSpringer
Date d'�dition2021
ISBN 10 3030519511
ISBN 13 9783030519513
ReliureBroch�
Langueanglais
Nombre de pages208
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Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications

Dombi, J�zsef|J�n�s, Tam�s

Edit� par Springer, Berlin|Springer International Publishing|Springer, 2021

ISBN 10 : 3030519511 ISBN 13 : 9783030519513

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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 for. N� de r�f. du vendeur 488583140

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

Tam�s J�n�s

Edit� par Springer International Publishing, 2021

ISBN 10 : 3030519511 ISBN 13 : 9783030519513

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9783030519513

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

Tam�s J�n�s

Edit� par Springer International Publishing Aug 2021, 2021

ISBN 10 : 3030519511 ISBN 13 : 9783030519513

Neuf Taschenbuch

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9783030519513

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

Tam�s J�n�s

Edit� par Springer International Publishing, Springer International Publishing Aug 2021, 2021

ISBN 10 : 3030519511 ISBN 13 : 9783030519513

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. 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 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 208 pp. Englisch. N� de r�f. du vendeur 9783030519513

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