During the total evaluation of measurements, it is aimed to identify the outliers which distort the certain values considering all measurement. In this manner, the determination of the best method to form the outlier sets is also considered another problem. Due to its structure Fuzzy Logic approach keeps the observation plan and precision unchanged during the process of outlier identification. The approach mentioned is suggested as a usable method due to its properties. In this paper, a real geodetic network is tested using three different network models. The locations of outliers are searched by fuzzy logic approach, and the success of the method is compared with those of other alternative methods.