On depth-based fuzzy trimmed means and a notion of depth specifically defined for fuzzy numbers-Reference-Cited by-同舟云学术

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On depth-based fuzzy trimmed means and a notion of depth specifically defined for fuzzy numbers

Published:2021-09 Issue: Volume: Page:
ISSN:0165-0114
Container-title:Fuzzy Sets and Systems
language:en
Short-container-title:Fuzzy Sets and Systems

Author:

Sinova Beatriz^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Logic

Reference33 articles.

1. Fuzziness in data analysis: towards accuracy and robustness;Colubi;Fuzzy Sets Syst.,2015

2. M-estimators and trimmed means: from Hilbert-valued to fuzzy set-valued data;Sinova;Adv. Data Anal. Classif.,2021

3. The wabl/ldev/rdev median of a random fuzzy number and statistical properties;Sinova,2015

4. The median of a random fuzzy number. The 1-norm distance approach;Sinova;Fuzzy Sets Syst.,2012

5. Empirical analysis of the maximum asymptotic bias of location estimators for fuzzy number-valued data;Sinova;Int. J. Approx. Reason.,2019

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Projection depth and L-type depths for fuzzy random variables;Fuzzy Sets and Systems;2024-07

2. Simplicial depths for fuzzy random variables;Fuzzy Sets and Systems;2023-11

3. The zonoid region parameter depth;Statistical Papers;2022-12-13

4. The $$d_\theta $$-Depth-Based Interval Trimmed Mean;Building Bridges between Soft and Statistical Methodologies for Data Science;2022-08-25

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