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Empirical comparison of the performance of location estimates of fuzzy number-valued data
Authors
Beatriz Sinova Fernández
Stefan Van Aelst
Publication date
1 January 2019
Publisher
Doi
Abstract
© Springer Nature Switzerland AG 2019. Several location measures have already been proposed in the literature in order to summarize the central tendency of a random fuzzy number in a robust way. Among them, fuzzy trimmed means and fuzzy M-estimators of location extend two successful approaches from the real-valued settings. The aim of this work is to present an empirical comparison of different location estimators, including both fuzzy trimmed means and fuzzy M-estimators, to study their differences in finite sample behaviour.status: publishe
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Lirias
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Last time updated on 19/11/2020
Repositorio Institucional de la Universidad de Oviedo
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Last time updated on 08/01/2019