Outlier Detection by Fuzzy-Statistical Procedure Sadegh Jamali Faculty Member Zanjan University, Iran Email: jamali@mail.znu.ac.ir Abstract It is known that the reliability of a geodetic network depends on magnitude of minimum undetectable error and its effect on the unknown parameters. Thus detection and remove of all outliers from geodetic observations improves the reliability of that geodetic network. Since base of statistical procedure for detection of outliers is statistical tests on the least square residuals and generally there are correlations between least square residuals so sensitivity of this procedure is limited. This paper presents fuzzy-statistical procedure for determination of outliers set using fuzzy techniques. This procedure is tested on two simulated geodetic networks and the results have been compared with the results of the conventional outlier testing (COT) method.