most citedApplication of independent component analysis and TOPSIS to deal with dependent criteria in multicriteria decision problems

30 citations · 44 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG20224 cited

A -additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning

Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Michel Grabisch

Besides accuracy, recent studies on machine learning models have been addressing the question on how the obtained results can be interpreted. Indeed, while complex machine learning…

eess.SP20202 cited

An unsupervised capacity identification approach based on Sobol' indices

Guilherme D. Pelegrina, Leonardo T. Duarte, Michel Grabisch +1

In many ranking problems, some particular aspects of the addressed situation should be taken into account in the aggregation process. An example is the presence of correlations bet…

eess.SP20201 cited

Muticriteria decision making based on independent component analysis: A preliminary investigation considering the TOPSIS approach

Guilherme D. Pelegrina, Leonardo T. Duarte, João M. T. Romano

This work proposes the application of independent component analysis to the problem of ranking different alternatives by considering criteria that are not necessarily statistically…

eess.SP202030 cited

Application of independent component analysis and TOPSIS to deal with dependent criteria in multicriteria decision problems

Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, João Marcos Travassos Romano

A vast number of multicriteria decision making methods have been developed to deal with the problem of ranking a set of alternatives evaluated in a multicriteria fashion. Very ofte…

eess.SP20203 cited

Application of multi-objective optimization to blind source separation

Guilherme Dean Pelegrina, Romis Attux, Leonardo Tomazeli Duarte

Several problems in signal processing are addressed by expert systems which take into account a set of priors on the sought signals and systems. For instance, blind source separati…

eess.SP20204 cited

A Multi-Objective Approach for Post-Nonlinear Source Separation and its Application to Ion-Selective Electrodes

Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte

Blind source separation (BSS) methods have been applied to deal with the lack of selectivity of ion-selective electrodes (ISE). In this paper, differently from the standard BSS sol…