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

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.

Focuses on advances in the areas of soft computational and probabilistic methods Discusses theoretical results and potential applications Presents advances in probabilistic and fuzzy data scientific methods

Inhalt
Belief, probability and plausibility.- -additive and -additive measures.- The pliant probability distribution family.- A fuzzy arithmetic-based time series model.- Likert scale-based evaluations with exible fuzzy numbers.- Bibliography.