The state-of-art of the generalizations of the Choquet integral: From aggregation and pre-aggregation to ordered directionally monotone functions
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 …
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
There are many real-world classification problems involving multiple classes, eg, in
bioinformatics, computer vision, or medicine. These problems are generally more difficult …
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
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 …
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
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 …
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 …
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
In recent years, immense interest in the exploration of the generalized version of the
monotonicity condition has been significantly accomplished by the researchers. The …
monotonicity condition has been significantly accomplished by the researchers. The …
On the definition of penalty functions in data aggregation
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 …
penalty functions found in the literature. Then, we propose a new standard definition of …
Generation of hyperspectral point clouds: Mapping, compression and rendering
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 …
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
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 …
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 …
проектуванні різної техніки на сьогодні є прагнення до автоматизації процесів з метою …