Overview
- 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
Part of the book series: Studies in Computational Intelligence (SCI, volume 814)
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Table of contents (5 chapters)
Keywords
About this book
Authors and Affiliations
Bibliographic Information
Book Title: Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications
Authors: József Dombi, Tamás Jónás
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-51949-0
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-51948-3Published: 12 August 2020
Softcover ISBN: 978-3-030-51951-3Published: 13 August 2021
eBook ISBN: 978-3-030-51949-0Published: 11 August 2020
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVII, 187
Number of Illustrations: 67 b/w illustrations