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 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.   
1137088545
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 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.   
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Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications

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

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

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

eBook1st ed. 2021 (1st ed. 2021)

$99.00 

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Overview

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.   

Product Details

ISBN-13: 9783030519490
Publisher: Springer-Verlag New York, LLC
Publication date: 08/11/2020
Series: Studies in Computational Intelligence , #814
Sold by: Barnes & Noble
Format: eBook
File size: 22 MB
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Table of Contents

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