Aquifers are important sources of drinking water and agriculture. Groundwater resources because of some physical and chemical characteristics such as, chemical composition and relatively constant temperature, less pollution and lack of evaporation rates are as a reliable source, especially in arid and semi-arid regions. In recent decades, increasing population, human needs and changing consumption pattern of communities, planning and management of water resources require more attention than before. hy; Groundwater water resource management strategies can be compensated for and exploitation of these resources through artificial recharge of aquifers. According to the overuse of groundwater, artificial recharge and to locate suitable sites for the erformance of such projects is very important. The study area locat in the watershed of Qorveh (232.17 km 2 ) in the Kordesta province. Water table of aquifer droped 9m during 2004-2013. That is why selection suitable areas for the implementation artificial recharge in order to prevent a further decline in the water level, is necessary. Eleve criteria were considered including: slope coefficient storage, land use, the thickness of alluvium, unsaturated hydraulic conductivity, distance from river, drainage density, geology, electrical conductivity, transmissivity of aquifer and vegetation coverage, To select suitable sites for artificial recharge projects, weighted linear combination (WLC) and Boolean operators and fuzzy types of geographical information system (GIS) were used. Among the fuzzy operators, two Fuzzy- product and Fuzzy- AND and among of operator Boolean logic operators only BOOLEAN-AND, was selected because of the high sensitivity. The results of the modeling with the operator BOOLEAN- AND showed that approximately 83km 2 of the plain area (about 36% of the plain area) i suitable for artificial recharge. Areas of suitable sites for artificial recharge projects by operators Fuzzy-AND and Fuzzy- product is 13km 2 (1.5 and 5.8 percent of the total area of the plain). Another method used in this study, was the method of weighted-linear combination (WLC). Weight entered in this method, and Super Deisions was extracted by AHP model. The results of this method showed that about 54km 2 of the total area of the plain is very good and in the common areas between the weighting method (WLC) and Boolean logic is 35km 2 (about 15% of the total plain area) and between three methods BOOLEAN-AND, WLC and Fuzy AND is about 34 hectares. Finally the common area betwee three BOOLEAN-AND, WLC and Fuzzy product is about 17 hectares. Keywords : artificial recharge, Qorveh, fuzzy logic, Boolean logic, WLC