An enhanced decision making model for industrial robotic selection using three factors: Positive, abstained, and negative grades of membership

D Kang, M Sandra, S Narayanamoorthy, K Suvitha… - Applied Soft …, 2024 - Elsevier
Traditional packaging industries that lack automation often grapple with a spectrum of
challenges that impede operational efficiency, productivity and overall competitiveness. To …

[HTML][HTML] Projection depth and Lr-type depths for fuzzy random variables

L González-De La Fuente, A Nieto-Reyes… - Fuzzy Sets and …, 2024 - Elsevier
Statistical depth functions are a standard tool in nonparametric statistics to extend order-
based univariate methods to the multivariate setting. Since there is no universally accepted …

[HTML][HTML] Simplicial depths for fuzzy random variables

L González-De La Fuente, A Nieto-Reyes… - Fuzzy Sets and …, 2023 - Elsevier
The recently defined concept of statistical depth function for fuzzy sets provides a theoretical
framework for ordering fuzzy sets with respect to the distribution of a fuzzy random variable …

Symmetrisation of a class of two-sample tests by mutually considering depth ranks including functional spaces

F Gnettner, C Kirch, A Nieto-Reyes - Electronic Journal of …, 2024 - projecteuclid.org
Statistical depth functions provide measures of the outlyingness, or centrality, of the
elements of a space with respect to a distribution. It is a nonparametric concept applicable to …

[HTML][HTML] Design of fuzzy logic-based ARDS Berlin definition for ventilator adjustments to ensure lung protection

JN Wanzala, MR Atim, J Obungoloch - International Journal of Fuzzy …, 2023 - Springer
The studies done on lung protective strategies in medical ventilators have shown that tidal
volume of 6-ml/kg predicted body weight protects the lungs of a patient during the invasive …

[HTML][HTML] Statistical depth for text data: An application to the classification of healthcare data

S Bolívar, A Nieto-Reyes, HL Rogers - Mathematics, 2023 - mdpi.com
This manuscript introduces a new concept of statistical depth function: the compositional D-
depth. It is the first data depth developed exclusively for text data, in particular, for those data …

Tukey depth for fuzzy sets

L González-De La Fuente, A Nieto-Reyes… - … Conference on Soft …, 2022 - Springer
Tukey depth is the first and one of the most notorious statistical depth functions. It has very
good properties and measures in a proper way the centrality of points with respect to a …

Variations of the depth based Liu-Singh two-sample test including functional spaces

F Gnettner, C Kirch, A Nieto-Reyes - arXiv preprint arXiv:2308.09869, 2023 - arxiv.org
Statistical depth functions provide measures of the outlyingness, or centrality, of the
elements of a space with respect to a distribution. It is a nonparametric concept applicable to …

Statistical depth and support medians for fuzzy data

GD La Fuente - arXiv preprint arXiv:2310.13478, 2023 - arxiv.org
Statistical depth functions order the elements of a space with respect to their centrality in a
probability distribution or dataset. Since many depth functions are maximized in the real line …

Projection depth and -type depths for fuzzy random variables

LGD La Fuente, A Nieto-Reyes, P Terán - arXiv preprint arXiv:2401.01894, 2023 - arxiv.org
Statistical depth functions are a standard tool in nonparametric statistics to extend order-
based univariate methods to the multivariate setting. Since there is no universally accepted …