48 citations · 48 across the 2 of their papers we have counts for
4 papers
Towards interval uncertainty propagation control in bivariate aggregation processes and the introduction of width-limited interval-valued overlap functions
Tiago da Cruz Asmus, Graçaliz Pereira Dimuro, Benjamín Bedregal +3
Overlap functions are a class of aggregation functions that measure the overlapping degree between two values. Interval-valued overlap functions were defined as an extension to exp…
Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions
Javier Fumanal-Idocin, Yu-Kai Wang, Chin-Teng Lin +3
Brain Computer Interface technologies are popular methods of communication between the human brain and external devices. One of the most popular approaches to BCI is Motor Imagery.…
Interval-valued aggregation functions based on moderate deviations applied to Motor-Imagery-Based Brain Computer Interface
Javier Fumanal-Idocin, Zdenko Takáč, Javier Fernández Jose Antonio Sanz +4
In this work we study the use of moderate deviation functions to measure similarity and dissimilarity among a set of given interval-valued data. To do so, we introduce the notion o…
CFM-BD: a distributed rule induction algorithm for building Compact Fuzzy Models in Big Data classification problems
Mikel Elkano, Jose Sanz, Edurne Barrenechea +2
Interpretability has always been a major concern for fuzzy rule-based classifiers. The usage of human-readable models allows them to explain the reasoning behind their predictions…