The state-of-art of the generalizations of the Choquet integral: From aggregation and pre-aggregation to ordered directionally monotone functions

GP Dimuro, J Fernández, B Bedregal, R Mesiar… - Information …, 2020 - Elsevier
In 2013, Barrenechea et al. used the Choquet integral as an aggregation function in the
fuzzy reasoning method (FRM) of fuzzy rule-based classification systems. After that, starting …

Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between -Dimensional Overlap Functions and Decomposition Strategies

M Elkano, M Galar, JA Sanz… - … on Fuzzy Systems, 2014 - ieeexplore.ieee.org
There are many real-world classification problems involving multiple classes, eg, in
bioinformatics, computer vision, or medicine. These problems are generally more difficult …

Consensus via penalty functions for decision making in ensembles in fuzzy rule-based classification systems

M Elkano, M Galar, JA Sanz, PF Schiavo… - Applied Soft …, 2018 - Elsevier
The aim of this paper is to propose a consensus method via penalty functions for decision
making in ensembles of fuzzy rule-based classification systems (FRBCSs). For that, we first …

Constructing the geometric Bonferroni mean from the generalized Bonferroni mean with several extensions to linguistic 2-tuples for decision-making

ZS Chen, KS Chin, KL Tsui - Applied Soft Computing, 2019 - Elsevier
Abstract The geometric Bonferroni mean (GeoBM), which was designed as a primitive
attempt to extend the Bonferroni mean (BM), has enriched the family of BM-type aggregation …

Weakly monotonic averaging functions

T Wilkin, G Beliakov - International Journal of Intelligent …, 2015 - Wiley Online Library
Monotonicity with respect to all arguments is fundamental to the definition of aggregation
functions. It is also a limiting property that results in many important nonmonotonic averaging …

The Bonferroni mean-type pre-aggregation operators construction and generalization: Application to edge detection

SR Hait, R Mesiar, P Gupta, D Guha, D Chakraborty - Information fusion, 2022 - Elsevier
In recent years, immense interest in the exploration of the generalized version of the
monotonicity condition has been significantly accomplished by the researchers. The …

On the definition of penalty functions in data aggregation

H Bustince, G Beliakov, GP Dimuro, B Bedregal… - Fuzzy Sets and …, 2017 - Elsevier
In this paper, we point out several problems in the different definitions (and related results) of
penalty functions found in the literature. Then, we propose a new standard definition of …

Generation of hyperspectral point clouds: Mapping, compression and rendering

A López, JM Jurado, JR Jiménez-Pérez, FR Feito - Computers & Graphics, 2022 - Elsevier
Hyperspectral data are being increasingly used for the characterization and understanding
of real-world scenarios. In this field, UAV-based sensors bring the opportunity to collect …

Combining multiple algorithms in classifier ensembles using generalized mixture functions

VS Costa, ADS Farias, B Bedregal, RHN Santiago… - Neurocomputing, 2018 - Elsevier
Classifier ensembles are pattern recognition structures composed of a set of classification
algorithms (members), organized in a parallel way, and a combination method with the aim …

Комплексування мультиспектральних зображень як метод підвищення їх інформативності при бінарній сегментації

DV Storozhyk, OV Muraviov, AG Protasov… - KPI Science …, 2020 - scinews.kpi.ua
Проблематика. Однією з найбільш інтенсивних тенденцій на виробництві та при
проектуванні різної техніки на сьогодні є прагнення до автоматизації процесів з метою …