To deal with the prevailing uncertainties in controlling the buildings against earthquake hazard, it is necessary to have a powerful tool. Type-2 fuzzy logic is a growing research topic with much evidence of successful applications to reason with uncertainty, but still not very popular in seismic control problems. Changing T1 fuzzy sets to T2 fuzzy sets automatically doesn’t improve the performance. To achieve better performance, one needs to tune and carefully design the type-2 fuzzy parameters. This paper presents the application of interval type-2 fuzzy logic controller (IT2FLC) for active control of a 9-story nonlinear benchmark building. The design of type-1 fuzzy logic controller (T1FLC) is also considered for the purpose of comparison with the IT2FLC. Genetic algorithm (GA) is used to tune T1 and IT2 FLC scaling factors and footprint of uncertainty (FOU) parameters. The performance of the controller is validated through the computer simulation on MATLAB. The use of IT2FLC has successfully reduced the displacement and acceleration time history responses of the structure. Evaluation results show superior performance of IT2FLC for reducing undesirable vibrations and structural damages in compare to T1FLC.

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