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.
CITATION STYLE
Sinova, B., & Van Aelst, S. (2019). Empirical comparison of the performance of location estimates of fuzzy number-valued data. In Advances in Intelligent Systems and Computing (Vol. 832, pp. 191–199). Springer Verlag. https://doi.org/10.1007/978-3-319-97547-4_25
Mendeley helps you to discover research relevant for your work.