Due to the linguistic and probabilistic uncertainties in real-world structures, probabilistic active vibration control of buildings has been an issue of research interest in recent years. In this study, a probabilistic fuzzy logic controller (PFLC) was proposed as a novel probabilistic active control system, in which the fuzzy logic and probability theory were integrated simultaneously. The proposed approach was applied to a 20-story benchmark building with uncertain specifications under strong seismic excitation. The uncertain parameters were random samples with a Gaussian distribution by a 10 % dispersion coefficient. The findings of the PFLC have been compared with those of a linear quadratic Gaussian (LQG) controller, interval type-2 fuzzy (IT2F) controller and an uncontrolled structural model. The control algorithms were tested on pre-earthquake and post-earthquake evaluation models. The capability of the control techniques in reducing the outcomes of the evaluation models was determined from several evaluation criteria. The analysis results showed that the PFLC was more accurate than the LQG and IT2F controllers and performed better in reducing the evaluation criteria responses due to its consideration of random variability.

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