In this paper is presented the application of a control strategy that interpolates the Model Reference Adaptive Control (MRAC) and the Variable Structure Model Reference Adaptive Control (VS-MRAC) applied to an induction motor. The combination of these strategies is obtained with concepts from Fuzzy Logic, where is used the idea of error magnitude for activating each controller in correct time. We used the Takagi-Sugeno Inference Model to obtain an analytic expression for the adaptation law. The application to the induction motor shows that this new strategy adaptation incorporates the advantages of both MRAC and VS-MRAC.