Abstarct: Despite every year growth of natural disasters, the disasters aftermath is decreasing in recent years due to a reveloution. The reveloution in information and communication technology caused the better and more efficient management of natural disasters. In Iran which is prone to natural disasters caused by earthquake, the use of intelligent methods in investigation of natural disasters induced by earthquake has just been started. Landslide is One of the most troubling agents that sometimes cause the main loss in earthquakes. In the current study a comprehensive model of earthquke induced landslides (CAMEL) have been used to investigate the distribution of earthquke induced landslides in northern Tehran and with the use of three different siesmic scenarios include north Tehran fault, Mosha fault and Ray fault. CAMEL is a qualitative method baxsed on fuzzy logic and computing with words. Using this method, these conclusions occurred that north Tehran fault cause more landslides and is the most effective scenario in producing soil slump, soil fall and rock fall landslides. North Tehran fault is more able in producing rock avalanch, rock slump and soil flow landslides. Comparing CAMEL model in static state with information value technic indicate that information value technic is more desierable than CAMEL static model with QS (Quality of Sum) of 0.46 and 0.54 respectively.