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

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Artikelnr: SK0258240-SE20260527-055838 Kategori: Etikett:

Beskrivning

Beskrivning

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.   

Om boken

Om denna bok

Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications av József Dombi och Tamás Jónás är en Inbunden bok med 187 sidor på Engelska. Detta är den 1:a upplagan som utgavs 2020 av Springer Nature.

Produktinformation

Kategori
Okänd
Bandtyp
Inbunden
Språk
Engelska
ISBN
9783030519483
Upplaga
1
Utgiven
2020-08-12
Förlag
Springer Nature
Sidantal
187