Real Estate Valuation is the process to identify exchange value of an immovable property in market conditions by analyzing the features it has in the face of economic developments. That the value of immovable property is identified and that the values determined are mentioned in the processes related to immovable properties are of developedness indicators. At the moment, it is impossible to mention about the explicit models in assessment of the value of immovable property. About the methods used in assessment of the value, for reaching the ideal one, the studies are still continuing. In this study, a new model was researched for identification of the values of immovable property. By means of the data collected, the models were formed with the method of artificial neural network and fuzzy logic, and the values found via the model formed were compared to each other. Neural network with calculation Average Approximation: 88.13% Average Approximation in calculations with the Fuzzy Logic: 84.39% was found.