- Tytuł:
- Flexible resampling for fuzzy data
- Autorzy:
-
Grzegorzewski, Przemyslaw
Hryniewicz, Olgierd
Romaniuk, Maciej - Powiązania:
- https://bibliotekanauki.pl/articles/330936.pdf
- Data publikacji:
- 2020
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
bootstrap
fuzzy data
fuzzy number
fuzzy sample
imprecise data
resampling
dane rozmyte
liczba rozmyta
dane niedokładne - Opis:
- In this paper, a new methodology for simulating bootstrap samples of fuzzy numbers is proposed. Unlike the classical bootstrap, it allows enriching a resampling scheme with values from outside the initial sample. Although a secondary sample may contain results beyond members of the primary set, they are generated smartly so that the crucial characteristics of the original observations remain invariant. Two methods for generating bootstrap samples preserving the representation (i.e., the value and the ambiguity or the expected value and the width) of fuzzy numbers belonging to the primary sample are suggested and numerically examined with respect to other approaches and various statistical properties.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2020, 30, 2; 281-297
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł