In this paper, aiming at weakness of experience weighting in surveying adjustment, a comprehensive weighting method with entropy theory is presented. At the same time, fuzzy multi-criteria decision making is introduced to surveying adjustment so as to reduce compute time for weight selection. Practical examples show that the accuracy of adjustment results based on entropy theory and variation coefficient is higher. Fuzzy multiple-criteria decision making can be effective to choose the best weight of the adjustment, and greatly reduce the computational workload. The feasibility and advantages of the new method is verified and this method has some practical value.