Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications is popular PDF and ePub book, written by József Dombi in 2020-08-11, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications can be Read Online from any device for your convenience.
Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications Book PDF Summary
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.
Detail Book of Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications PDF
- Author : József Dombi
- Release : 11 August 2020
- Publisher : Springer Nature
- ISBN : 9783030519490
- Genre : Computers
- Total Page : 201 pages
- Language : English
- PDF File Size : 13,8 Mb
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