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Empirical analysis of the maximum asymptotic bias of location estimators for fuzzy number-valued data

  • Published:2019-10 Issue: Volume:113 Page:1-13
  • ISSN:0888-613X
  • Container-title:International Journal of Approximate Reasoning
  • language:en
  • Short-container-title:International Journal of Approximate Reasoning

Author:

Sinova Beatriz,Van Aelst Stefan

Funder

Principality of Asturias/FEDER

Spanish Ministry of Cience, Innovation and Universities

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference25 articles.

1. Fuzzy rating scale-based questionnaires and their statistical analysis;De la Rosa de Sáa;IEEE Trans. Fuzzy Syst.,2015

2. Fuzzy random variables;Puri;J. Math. Anal. Appl.,1986

3. Advantages of M-estimators of location for fuzzy numbers based on Tukey's biweight loss function;Sinova;Int. J. Approx. Reason.,2018

4. M-estimates of location for the robust central tendency of fuzzy data;Sinova;IEEE Trans. Fuzzy Syst.,2016

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

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1. The continuity of weighted mean map of fuzzy numbers;Fuzzy Sets and Systems;2024-01

2. Fuzzy S-Estimators;Advances in Intelligent Systems and Computing;2024

3. Empirical Analysis of the Maxbias of the Fuzzy MDD-based Hampel M-estimator of Location;Trends in Mathematical, Information and Data Sciences;2022-06-28

4. The topological structure of the set of fuzzy numbers with L metric;Topology and its Applications;2022-05

5. Parallel FCM clustering algorithm of fuzzy number based on cut set;Journal of Computational Methods in Sciences and Engineering;2021-09-28
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