Landslides as one of the most prominent natural hazards are the output of local geomorphology, geologic and hydrologic conditions. In other words, changes in these processes by geodynamic factors, vegetation life, land uses, human activities, the precipitation intensity and fluctuations and earthquakes are the grassroots of landslides. The aim of this research is the evaluation of sensitivity of lands for landslide occurrence in Ilgineh-Chai basin with the application of GIS and fuzzy operators. This basin is one of the sub basins of Aras-Chai with an area of about 40683 ha that is located in 38° 58’ northern latitude and 46° 36’ eastern longitude. The criteria used for the analysis of landslide sensitivity in this basin include five parameters of gradient, aspect; lithology, fault, and land use all of which being extracted from SPOT satellite images and field works. We used fuzzy logic and GIS techniques for the initial analysis of existing variables and the distribution of landslides. The classification of variables was done through tracking the changing trends of curved histograms, present classifications and then variables’ weight was determined according to the percentage of landslide probability whereby the weight of each class was denoted between zero and one. Afterwards, the created maps under GIS were synthetized and classified in the bulk of fuzzy operators. The comparison of obtained results from landslide modeling in the area under study indicates that the gamma 0.8 has the highest capability for the zoning. Finally, the accuracy of maps was assessed by qualified sum index (QS). The final zoning map of landslide potentials was drawn by 0.8 gamma fuzzy operator as the optimum operating system in the determination of landslide risk in the area. The map was classified in five categorical zones from very low to the very extensive.