Paolo Giordani

Marco Forti

Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

2023

CPclus: Candecomp/Parafac Clustering Model for Three-Way Data.

[BibT_eX]

[DOI]

Donatella Vicari

J. Classif., July, 2023

2022

Unintended consequences: Can the rise of the educated class explain the revival of protectionism?

[BibT_eX]

[DOI]

Fabio Mariani

J. Econ. Theory, 2022

2019

fclust: An R Package for Fuzzy Clustering.

[BibT_eX]

[DOI]

Alessio Serafini

R J., 2019

A review and proposal of (fuzzy) clustering for nonlinearly separable data.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2019

2018

Principal Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Special issue on soft methods in probability and statistics (SMPS 2016).

[BibT_eX]

[DOI]

Barbara Vantaggi

Int. J. Approx. Reason., 2018

Robust Fuzzy Relational Clustering of Non-linear Data.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty Modelling in Data Science, 2018

2017

Possibilistic and fuzzy clustering methods for robust analysis of non-precise data.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2017

2016

A fuzzy clustering procedure for random fuzzy sets.

[BibT_eX]

[DOI]

Ana Belén Ramos-Guajardo

Fuzzy Sets Syst., 2016

2015

A toolbox for fuzzy clustering using the R programming language.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2015

Lasso-constrained regression analysis for interval-valued data.

[BibT_eX]

[DOI]

Adv. Data Anal. Classif., 2015

2014

Principal Component Analysis.

[BibT_eX]

[DOI]

Encyclopedia of Social Network Analysis and Mining, 2014

2013

On possibilistic clustering with repulsion constraints for imprecise data.

[BibT_eX]

[DOI]

Inf. Sci., 2013

2012

Fuzzy and possibilistic clustering for fuzzy data.

[BibT_eX]

[DOI]

Renato Coppi

Comput. Stat. Data Anal., 2012

FINDCLUS: Fuzzy INdividual Differences CLUStering.

[BibT_eX]

[DOI]

Henk A. L. Kiers

J. Classif., 2012

A Proposal of Robust Regression for Random Fuzzy Sets.

[BibT_eX]

[DOI]

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

Multimedia Educational Pills (MEPs) for Corporate Training: Methodology and Cases.

[BibT_eX]

[DOI]

Maria Rosaria Di Renzo

Sara Mormino

Proceedings of the 12th IEEE International Conference on Advanced Learning Technologies, 2012

2010

A fuzzy logic approach to poverty analysis based on the Gini and Bonferroni inequality indices.

[BibT_eX]

[DOI]

Giovanni Maria Giorgi

Stat. Methods Appl., 2010

Three-way analysis of imprecise data.

[BibT_eX]

[DOI]

J. Multivar. Anal., 2010

A Fuzzy Clustering Model for Multivariate Spatial Time Series.

[BibT_eX]

[DOI]

Renato Coppi

J. Classif., 2010

A Linearity Test for a Simple Regression Model with <i>LR</i> Fuzzy Response.

[BibT_eX]

[DOI]

Ana Colubi

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

2007

The refoundation of the symmetric equilibrium in Schumpeterian growth models.

[BibT_eX]

[DOI]

Guido Cozzi

Luca Zamparelli

J. Econ. Theory, 2007

Fuzzy Clustering for Space-time Series Using Spatial Autocorrelation Information.

[BibT_eX]

[DOI]

Renato Coppi

Proceedings of the FUZZ-IEEE 2007, 2007

2006

Two- and three-way component models for LR fuzzy data in a possibilistic framework.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2006

A robust fuzzy <i>k</i>-means clustering model for interval valued data.

[BibT_eX]

[DOI]

Comput. Stat., 2006

A comparison of three methods for principal component analysis of fuzzy interval data.

[BibT_eX]

[DOI]

Henk A. L. Kiers

Comput. Stat. Data Anal., 2006

A weighted fuzzy c.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2006

Least squares estimation of a linear regression model with LR fuzzy response.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2006

An Asymptotic Test for Symmetry of Random Variables Based on Fuzzy Tools.

[BibT_eX]

[DOI]

Gil González-Rodríguez

Ana Colubi

Proceedings of the Soft Methods for Integrated Uncertainty Modelling, 2006

2005

A possibilistic approach to latent component analysis for symmetric fuzzy data.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2005

2004

Principal Component Analysis of symmetric fuzzy data.

[BibT_eX]

[DOI]