Francisco Javier Talavera

dblp:349/0551 · DBLP profile ↗
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7ranked-venue papers
3as first author
7since 2021 · last 2025
0000-0001-7395-1999ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 7 · 3 first-author · 7 since 2021Theory of computation · 2 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 2 since 2021
YearPublicationVenuePosition
2025 About T-Norms and T-Conorms on New Preorders in Type-2 Fuzzy Sets
Pablo Hernández-Varela, Francisco Javier Talavera, Carmen Torres-Blanc, Susana Cubillo, Pedro Huidobro, Jorge Elorza
EUSFLAT (2)2
2025 A Decision-Making Framework Based on Intersection and Similarity Measures for Type-2 Fuzzy Sets
Pedro Huidobro, Francisco Javier Talavera, Susana Cubillo, Carmen Torres-Blanc, Pablo Hernández-Varela, Jorge Elorza
EUSFLAT (2)2
2025 New types of domination to characterize the preservation of T-subgroups under aggregation
Francisco Javier Talavera, Sergio Ardanza-Trevijano, Jean Bragard, Jorge Elorza
Fuzzy Sets Syst.1
2025 Subsethood measures based on cardinality of type-2 fuzzy sets
Carmen Torres-Blanc, Jesús Martínez-Mateo, Susana Cubillo, Luis Magdalena, Francisco Javier Talavera, Jorge Elorza
Fuzzy Sets Syst.5
2024 Aggregation of fuzzy graphs
abstract
Our study is centered on the aggregation of fuzzy graphs, looking for conditions under which the aggregation process yields another fuzzy graph. We conduct an in-depth analysis of the preservation of several important properties and structures inherent to fuzzy graphs, like paths, cycles, or bridges. In addition we obtain appropriate criteria for when the aggregation of complete fuzzy graphs is again a complete fuzzy graph.
Francisco Javier Talavera, Carlos Bejines, Sergio Ardanza-Trevijano, Jorge Elorza
Int. J. Approx. Reason.1
2023 Aggregation of T-subgroups
abstract
We study when an aggregation function acting on an n-tuple of T-subgroups preserves the structure of T-subgroup. First we need to consider that there are two known definitions applicable to the aggregation of structures on fuzzy sets. These two notions differ in the domain of the aggregated structure. It is known that for indistinguishability operators, pseudometrics, quasi-pseudometrics among others, the aggregation functions that preserve these structures are the same with both definitions. However this is not the case for quasi-metrics. In this line we study the aggregation of T-subgroups with both definitions and their implications. We see that aggregation functions may preserve the structure of T-subgroups with one definition but not with the other. However, under adequate restrictions, the aggregation functions preserving the structure of T-subgroups are the same with either definition. We also show that the results depend on the structure of the subgroup lattice of the ambient group, the particular T-subgroups being aggregated, or the aggregation function.
Sergio Ardanza-Trevijano, María Jesús Chasco, Jorge Elorza, Maria de Natividade, Francisco Javier Talavera
Fuzzy Sets Syst.5
2023 Aggregation of T-subgroups of groups whose subgroup lattice is a chain
abstract
In this work, we study when an aggregation operator preserves the structure of T-subgroup of groups whose subgroup lattice is a chain. There are two widely used ways of defining the aggregation of structures in fuzzy logic, previously named on sets and on products. We will focus our attention on the one called aggregation on products. When the lattice of subgroups is not a chain, it is known that the dominance relation between the aggregation operator and the t-norm is crucial. We show that this property is again important for some of the groups in this study. However, for the rest of them, we must define a new property weaker than domination, that will allow us to characterize those operators which preserve T-subgroups.
Francisco Javier Talavera, Sergio Ardanza-Trevijano, Jean Bragard, Jorge Elorza
Fuzzy Sets Syst.1