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

Dombi, József; Jónás, Tamás

ISBN 10: 3030519511 / ISBN 13: 9783030519513

Editore: Springer, 2021

In. Codice articolo ria9783030519513_new

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.   

Dalla quarta di copertina: 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.

Dati bibliografici

Titolo: Advances in the Theory of Probabilistic and ...
Casa editrice: Springer
Data di pubblicazione: 2021
Legatura: Brossura
Condizione: New