The pressure on the land increases with the increase in the world population. Erosion, which is a natural process, has become a problem with this increasing pressure. Most of the farmlands in Turkey are particularly affected by erosion. For this reason, many methods and approaches have been developed to reduce the erosion effect. In this study, it is aimed to determine erosion risk classes and to generate their map in Sinop that covers 586200 ha, using Fuzzy Logic Analytical Hierarchical Process (FAHP) approach. Sinop province is located in the Black Sea Region. The province has Black Sea in the north, Samsun in the southeast, Çorum in the south and Kastamonu in the west. In this study, the total data set (TDS) and the minimum data set (MDS) were composed and the results from these sets were compared while determining erosion sensitivity classes. Geology, vegetation, land use, slope, depth, precipitation, and erodability parameters were used for TDS while creating erosion classes. In order to generate MDS, the principal component analysis was carried out. Vegetation, depth, and erodability parameters were discussed in MDS. Vegetation, depth and erodobility parameters were discussed in MDS. The linear combination method was applied to the result map for TDS and MDS, and the ArcGIS program which is a geographic information system software was used during the application of this method. According to the results, 33% of the study area is defined as high and 36% of the area is sensitive to low-level erosion in TDS whereas 33% of the study area is high/very high and 35% of the area is low to erosion in MDS. Hence, it was determined that the results obtained by TDS and MDS exhibit very close values. In both erosion susceptibility maps produced from MDS and TDS, it is ascertained that the high sloping and weak vegetation areas, as well as agricultural lands, are highly susceptible to erosion.