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Antilock braking system is designed to prevent slipping tires, avoid being locked and control the vehicle safe and achieve minimum stop distance under brake condition. Antilock braking system is high nonlinear and time variant system; therefore using fuzzy controller and expert knowledge in brake systems has been introduced since 1993. Fuzzy controllers have several advantages comparing to classic one. One of the disadvantages of fuzzy controllers is the response time which produces the corresponding outputs with in long time. To reduce time complexity of these controllers Data-oriented theory using problem solution data structure has been introduced. Using problem solution data structure enables to optimize brake performance locally. In this paper fuzzy learning mechanism is presented to achieve learnt PSDS for brake control with low response time and high performance. The simulation results show the potent of new learnt PSDS controller in maintaining stability and reducing stop distance with fast response.