A voltammetric electronic tongue (E-tongue) is “a multisensor system, which consists of a number of low-selective sensors and uses advanced mathematical procedures for signal processing based on pattern recognition and/or data multivariate analysis such as artificial neural networks (ANNs), principal component analysis (PCA), among others”. Thus, E-tongues in combination with chemometrics tools result in more accurate and selective analytical methods.In this work, we report for the first time results of a simple and reliable electroanalytical method to determine BHT, BHA and PG in edible olive oils (EOOs). Therefore, we used the square wave voltammetry on platinum and carbon fiber disk ultramicroelectrodes (E-tongue configuration) combined with chemometrics tools to perform these studies.On the other hand, two data fusion strategies were used in order to combine the electrochemical data obtained for each working electrode in the E-tongue: low-level data fusion (LLDF) and mid-level data fusion (MLDF). Also, to reduce the dimensionality of the dataset in MLDF, the discrete wavelet transform (DWT) was used.Finally, to assert the predictive capability of the method for BHA, BHT, and PG determination in real samples, a recovery study for the antioxidants in EOOs samples was performed, demonstrating the analytical accuracy of the proposed method. Moreover, from the comparison between the proposed electrochemical method and others found in the literature in terms of the quality of the model (REP %) and the percent recovery assays (%) in different samples, our results were better that other reported previously for the simultaneous determination of BHA, BHT, and PG in real samples. In addition, this is the first report for the simultaneous determination of BHA, BHT and PG in EOOs, with the improvement in the percent recovery assays without additional experimental cost. Moreover, the percent recovery assays obtained with the proposed method are similar to that obtained with chromatographic methods in edible olive oil samples.