Epistemic Bootstrap for Fuzzy Data
- https://doi.org/10.2991/asum.k.210827.071How to use a DOI?
- Bootstrap, Estimation, Fuzzy data, Fuzzy numbers, Fuzzy EM, Hypotheses testing
Fuzzy data applied for modeling imprecise observations cause many problems in statistical reasoning and data analysis. To handle better such observations a new bootstrap technique designed for epistemic fuzzy data is proposed. Our new method is conceptually simple and is not hard computationally. Some simulation results reported in the paper show that the proposed new type of the bootstrap may increase the effectiveness of statistical inferential procedures used so far. Although these results are rather preliminary, they indicate that the epistemic bootstrap might be useful in different fields which is a good prognostic for further research.
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Przemysław Grzegorzewski AU - Maciej Romaniuk PY - 2021 DA - 2021/08/30 TI - Epistemic Bootstrap for Fuzzy Data BT - Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AGOP) PB - Atlantis Press SP - 538 EP - 545 SN - 2589-6644 UR - https://doi.org/10.2991/asum.k.210827.071 DO - https://doi.org/10.2991/asum.k.210827.071 ID - Grzegorzewski2021 ER -