1 citations · 1 across the 8 of their papers we have counts for
11 papers
Reconstruction of continuous Archimedean t-norms from their section along an increasing curve
Gabriel Bauza-Llompart, Raquel Fernandez-Peralta, Marc Munar
The completion problem for continuous and Archimedean triangular norms (t-norms for short) consists in describing all the operators that take predefined values on a given subset of…
A lattice-theoretic framework for hesitant fuzzy convexity beyond scalar observables
Carlos Salvatierra, Pedro Huidobro, Raquel Fernandez-Peralta
In fuzzy-set theory, the notion of convexity has often been formulated through scalar reductions, typically via scores and aggregation functions. Although useful, such reductions m…
Hypernetworks for Dynamic Feature Selection
Javier Fumanal-Idocin, Raquel Fernandez-Peralta, Javier Andreu-Perez
Dynamic feature selection (DFS) is a machine learning framework in which features are acquired sequentially for individual samples under budget constraints. The exponential growth…
A Fast Interpretable Fuzzy Tree Learner
Javier Fumanal-Idocin, Raquel Fernandez-Peralta, Javier Andreu-Perez
Fuzzy rule-based systems have been mostly used in interpretable decision-making because of their interpretable linguistic rules. However, interpretability requires both sensible li…
On the Non-Uniqueness of Representation of -Implications
Raquel Fernandez-Peralta, Andrea Mesiarová-Zemánková
Fuzzy implication functions constitute fundamental operators in fuzzy logic systems, extending classical conditionals to manage uncertainty in logical inference. Among the extensiv…
A global view of diverse construction methods of fuzzy implication functions rooted on F-chains
Raquel Fernandez-Peralta, Juan Vicente Riera
Fuzzy implication functions are one of the most important operators used in the fuzzy logic framework. While their flexible definition allows for diverse families with distinct pro…
Model-Agnostic Dynamic Feature Selection with Uncertainty Quantification
Javier Fumanal-Idocin, Raquel Fernandez-Peralta, Javier Andreu-Perez
Dynamic feature selection (DFS) addresses budget constraints in decision-making by sequentially acquiring features for each instance, making it appealing for resource-limited scena…
Crisp complexity of fuzzy classifiers
Raquel Fernandez-Peralta, Javier Fumanal-Idocin, Javier Andreu-Perez
Rule-based systems are a very popular form of explainable AI, particularly in the fuzzy community, where fuzzy rules are widely used for control and classification problems. Howeve…
Fuzzy Implicative Rules: A Unified Approach
Raquel Fernandez-Peralta
Rule mining algorithms are one of the fundamental techniques in data mining for disclosing significant patterns in terms of linguistic rules expressed in natural language. In this…
A Comprehensive Survey of Fuzzy Implication Functions
Raquel Fernandez-Peralta
Fuzzy implication functions are a key area of study in fuzzy logic, extending the classical logical conditional to handle truth degrees in the interval . While existing lite…
Compact Rule-Based Classifier Learning via Gradient Descent
Javier Fumanal-Idocin, Raquel Fernandez-Peralta, Javier Andreu-Perez
Rule-based models are essential for high-stakes decision-making due to their transparency and interpretability, but their discrete nature creates challenges for optimization and sc…