Advances in the theory of probabilistic and fuzzy data scientific methods / József Dombi, Tamás Jónás.
2021
QA273
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Title
Advances in the theory of probabilistic and fuzzy data scientific methods / József Dombi, Tamás Jónás.
Author
Dombi, József.
ISBN
9783030519490 (electronic bk.)
303051949X (electronic bk.)
3030519481
9783030519483
303051949X (electronic bk.)
3030519481
9783030519483
Publication Details
Cham, Switzerland : Springer, [2021]
Language
English
Description
1 online resource
Item Number
10.1007/978-3-030-51
Call Number
QA273
Dewey Decimal Classification
519.2
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.
Bibliography, etc. Note
Includes bibliographical references.
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Access limited to authorized users.
Added Author
Jónás, Tamás.
Series
Studies in computational intelligence ; v. 814.
Available in Other Form
Print version: 9783030519483
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