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Flexible resampling for fuzzy data
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Title: Flexible resampling for fuzzy data

Autor:

Grzegorzewski, Przemysław ; Hryniewicz, Olgierd (1948- ) ; Romaniuk, Maciej

Data wydania:

2020

Typ zasobu:

artykuł

Współtwórca:

Korbicz, Józef (1951- ) - red. ; Uciński, Dariusz - red.

Tytuł publikacji grupowej:

AMCS, volume 30 (2020)

Abstract:

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.

Wydawca:

Zielona Góra: Uniwersytet Zielonogórski

Identyfikator zasobu:

oai:zbc.uz.zgora.pl:86100

DOI:

10.34768/amcs-2020-0022

Strony:

281-297

Źródło:

AMCS, volume 30, number 2 (2020) ; click here to follow the link

Jezyk:

eng

Licencja CC BY 4.0:

click here to follow the link

Prawa do dysponowania publikacją:

Biblioteka Uniwersytetu Zielonogórskiego

Subject and keywords:

bootstrap fuzzy data fuzzy numbers fuzzy sample imprecise data resampling

Object collections:

Last modified:

Jul 16, 2025

In our library since:

Jul 16, 2025

Number of object content hits:

11

All available object's versions:

https://zbc.uz.zgora.pl/repozytorium/publication/101152

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Edition name Date
Flexible resampling for fuzzy data Jul 16, 2025

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