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Bootstrap Methods for Epistemic Fuzzy Data Cover

Bootstrap Methods for Epistemic Fuzzy Data

International Journal of Applied Mathematics and Computer Science
Volume 32 (2022): Issue 2 (June 2022)
By: Przemysław Grzegorzewski and  Maciej Romaniuk  
Open Access
|Jul 2022

Authors

Przemysław Grzegorzewski

Przemyslaw.Grzegorzewski@pw.edu.pl

Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland
Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

Maciej Romaniuk

mroman@ibspan.waw.pl

Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Warsaw School of Information Technology, Warsaw, Poland
DOI: https://doi.org/10.34768/amcs-2022-0021 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 285 - 297
Submitted on: Oct 18, 2021
Accepted on: Apr 20, 2022
Published on: Jul 4, 2022
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
bootstrap,
estimation,
fuzzy data,
fuzzy numbers,
hypotheses testing,
resampling
Related subjects:
Mathematics,
Applied mathematics

© 2022 Przemysław Grzegorzewski, Maciej Romaniuk, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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