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

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

Jzsef Dombi Tams Jns

Pocket

1509:-

Funktionen begränsas av dina webbläsarinställningar (t.ex. privat läge).

Uppskattad leveranstid 10-16 arbetsdagar

Fri frakt för medlemmar vid köp för minst 249:-

Andra format:

  • 187 sidor
  • 2021
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.
  • Författare: Jzsef Dombi, Tams Jns
  • Format: Pocket/Paperback
  • ISBN: 9783030519513
  • Språk: Engelska
  • Antal sidor: 187
  • Utgivningsdatum: 2021-08-13
  • Förlag: Springer Nature Switzerland AG