This work presents a fuzzy logic control (FLC) mechanism for the widely adopted vector field smoothing (VFS) speaker adaptation scheme. The proposed mechanism, called FLC-VFS, regulates the influence of VFS adaptation when the training data from a new speaker is inadequate, specifically by taking the amount of adaptation data into account at the stage of transfer vectors interpolation, and thus ensures the robustness of VFS adaptation against data scarcity. The proposed mechanism is conceptu-ally simple and effective. Experimental results indi-cate that FLC-VFS outperforms conventional VFS, particularly when the adaptation data are scarce.