Beatriz Sinova

According to our database, Beatriz Sinova authored at least 27 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2022

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

Beatriz Sinova

Fuzzy Sets Syst., 2022

2021

Location-Free Robust Scale Estimates for Fuzzy Data.

Sara de la Rosa de Sáa, María Asunción Lubiano, Beatriz Sinova, María Ángeles Gil, Peter Filzmoser

IEEE Trans. Fuzzy Syst., 2021

M-estimators and trimmed means: from Hilbert-valued to fuzzy set-valued data.

Beatriz Sinova, Stefan Van Aelst, Pedro Terán

Adv. Data Anal. Classif., 2021

2020

Special issue on 9th International Conference on Soft Methods in Probability and Statistics (SMPS).

Sébastien Destercke, Maria Brigida Ferraro, Beatriz Sinova

Int. J. Approx. Reason., 2020

2019

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

Beatriz Sinova, Stefan Van Aelst

Int. J. Approx. Reason., 2019

2018

Advantages of M-estimators of location for fuzzy numbers based on Tukey's biweight loss function.

Beatriz Sinova, Stefan Van Aelst

Int. J. Approx. Reason., 2018

Empirical Comparison of the Performance of Location Estimates of Fuzzy Number-Valued Data.

Beatriz Sinova, Stefan Van Aelst

Proceedings of the Uncertainty Modelling in Data Science, 2018

Descriptive Comparison of the Rating Scales Through Different Scale Estimates: Simulation-Based Analysis.

Irene Arellano, Beatriz Sinova, Sara de la Rosa de Sáa, María Asunción Lubiano, María Angeles Gil

Proceedings of the Uncertainty Modelling in Data Science, 2018

2017

Robust scale estimators for fuzzy data.

Sara de la Rosa de Sáa, María Asunción Lubiano, Beatriz Sinova, Peter Filzmoser

Adv. Data Anal. Classif., 2017

2016

M-Estimates of Location for the Robust Central Tendency of Fuzzy Data.

Beatriz Sinova, María Angeles Gil, Stefan Van Aelst

IEEE Trans. Fuzzy Syst., 2016

Descriptive analysis of responses to items in questionnaires. Why not using a fuzzy rating scale?

María Asunción Lubiano, Sara de la Rosa de Sáa, Manuel Montenegro, Beatriz Sinova, María Angeles Gil

Inf. Sci., 2016

The mean square error of a random fuzzy vector based on the support function and the Steiner point.

Beatriz Sinova, Sara de la Rosa de Sáa, María Rosa Casals, María Angeles Gil, Antonia Salas

Fuzzy Sets Syst., 2016

Hypothesis testing for means in connection with fuzzy rating scale-based data: algorithms and applications.

María Asunción Lubiano, Manuel Montenegro, Beatriz Sinova, Sara de la Rosa de Sáa, María Angeles Gil

Eur. J. Oper. Res., 2016

Tukey's Biweight Loss Function for Fuzzy Set-Valued M-estimators of Location.

Beatriz Sinova, Stefan Van Aelst

Proceedings of the Soft Methods for Data Science, 2016

Measuring the Dissimilarity Between the Distributions of Two Random Fuzzy Numbers.

María Asunción Lubiano, María Ángeles Gil, Beatriz Sinova, María Rosa Casals, María Teresa López

Proceedings of the Soft Methods for Data Science, 2016

2015

An Overview on the Statistical Central Tendency for Fuzzy Data Sets.

Beatriz Sinova, Sara de la Rosa de Sáa, María Asunción Lubiano, María Angeles Gil

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015

Study of the choice of the weighting measure aphi; on the aphi;-wabl/ldev/rdev median.

Beatriz Sinova, María Teresa López

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

An analysis of the median of a fuzzy random variable based on Zadeh's extension principle.

Sonia Pérez-Fernández, Beatriz Sinova

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

2014

Central tendency for symmetric random fuzzy numbers.

Beatriz Sinova, María Rosa Casals, María Angeles Gil

Inf. Sci., 2014

A parameterized L² metric between fuzzy numbers and its parameter interpretation.

Beatriz Sinova, María Angeles Gil, María Teresa López, Stefan Van Aelst

Fuzzy Sets Syst., 2014

The Wabl/Ldev/Rdev Median of a Random Fuzzy Number and Statistical Properties.

Beatriz Sinova, Sonia Pérez-Fernández, Manuel Montenegro

Proceedings of the Strengthening Links Between Data Analysis and Soft Computing, 2014

Empirical Sensitivity Analysis on the Influence of the Shape of Fuzzy Data on the Estimation of Some Statistical Measures.

María Asunción Lubiano, Sara de la Rosa de Sáa, Beatriz Sinova, María Ángeles Gil

Proceedings of the Strengthening Links Between Data Analysis and Soft Computing, 2014

2013

A generalized L¹-type metric between fuzzy numbers for an approach to central tendency of fuzzy data.

Beatriz Sinova, Sara de la Rosa de Sáa, María Angeles Gil

Inf. Sci., 2013

2012

Interval arithmetic-based simple linear regression between interval data: Discussion and sensitivity analysis on the choice of the metric.

Beatriz Sinova, Ana Colubi, María Angeles Gil, Gil González-Rodríguez

Inf. Sci., 2012

The median of a random fuzzy number. The 1-norm distance approach.

Beatriz Sinova, María Angeles Gil, Ana Colubi, Stefan Van Aelst

Fuzzy Sets Syst., 2012

An Alternative Approach to the Median of a Random Interval Using an L 2 Metric.

Beatriz Sinova, Gil González-Rodríguez, Stefan Van Aelst

Proceedings of the Synergies of Soft Computing and Statistics for Intelligent Data Analysis, 2012

2010

The Median of a Random Interval.

Beatriz Sinova, María Rosa Casals, Ana Colubi, María Ángeles Gil

Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010