Suspension system is considered one of the most important components of modern automobiles as it is the responsible for the vehicle’s stability, balance and safety. The presence of robust controller is very necessary in order to ensure full interaction between suspension components and making accurate decisions at the right time. This paper proposes to design an Extended Adaptive Neuro Fuzzy Inference System (EANFIS) controller for suspension system in quarter car model. The proposed controller is used as decision maker In order to contribute in absorbing shocks caused by bumpy roads, and to prevent vibrations from reaching the cockpit. Furthermore, it provides stability and coherence required to reduce the discomfort felt by passengers, which arises from road roughness, which in turn, improve the road handling. The MATLAB Simulink is used to simulate the proposed controller with the controlled model and to display the responses of the controlled model under different types of disturbance. In addition, a comparison between EANFIS controller, Fuzzy controller and open loop model (passive suspension) was done with different types of disturbance on order to evaluate the performance of the proposed model. Controller has shown excelled performance in terms of reducing displacements, velocity and acceleration.