Fumanal Idocin, JavierTakáč, ZdenkoFernández Fernández, Francisco JavierSanz Delgado, José AntonioGoyena Baroja, HarkaitzLin, Chin-TengWang, Yu-KaiBustince Sola, Humberto2022-05-102022-06-292021J. Fumanal-Idocin et al., 'Interval-valued aggregation functions based on Moderate deviations applied to Motor-Imagery-Based Brain Computer Interface,' in IEEE Transactions on Fuzzy Systems, doi: 10.1109/TFUZZ.2021.3092824.1941-003410.1109/TFUZZ.2021.3092824https://academica-e.unavarra.es/handle/2454/42913In this work we develop moderate deviation functions to measure similarity and dissimilarity among a set of given interval-valued data to construct interval-valued aggregation functions, and we apply these functions in two MotorImagery Brain Computer Interface (MI-BCI) systems to classify electroencephalography signals. To do so, we introduce the notion of interval-valued moderate deviation function and, in particular, we study those interval-valued moderate deviation functions which preserve the width of the input intervals. In order to apply them in a MI-BCI system, we first use fuzzy implication operators to measure the uncertainty linked to the output of each classifier in the ensemble of the system, and then we perform the decision making phase using the new interval-valued aggregation functions. We have tested the goodness of our proposal in two MI-BCI frameworks, obtaining better results than those obtained using other numerical aggregation and interval-valued OWA operators, and obtaining competitive results versus some non aggregation-based frameworks.15 p.application/pdfeng© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work.ElectroencephalographyBrain-computer interfaceModerate deviationsInterval-valued aggregationMotor imageryAdmissible ordersClassificationSignal processinginfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccess