Groundwater resources are the second largest freshwater source in the world after polar glaciers. Due to the importance of this resource in arid and semiarid regions, investigating changes in groundwater levels has an important role in planning and sustainable water resources management. The steady decline in groundwater levels has been observed in many parts of the world. For optimal use of available water resources comprehensive planning is necessary to make informed and accurate understanding of this important component of water resources. Neyshabour plain is one of the most plains of Khorasan Razavi province, which has an important role in agricultural production. Due to the reduction of the Groundwater recharge factors and Unallowable discharges of the resources, annually 74 cm decline in groundwater table in Neyshabour plain were observed. Hence the objective current study was forecasting the monthy groundwater changes in Neyshabour aquifer using fuzzy regression model. For this propose, the parameters affecting aquifer level including monthly precipitation and discharge detected and fuzzy linear regression approach is employed for to estimate groundwater level of Neyshabour Aquifer. The results represent that the most accuracy predicts was in august with R2, RMSE and MAE of applied model was 0.93, 6.05 and 6.01 respectively. In conclusion the results obtained from this study, based on R2, MAE and RMSE measures, showed the efficiency of newly developed formulas based on fuzzy regression method in estimate the groundwater table with proper accuracy.