Abstarct: Blasting in mining operations is of great importance due to its direct impact on other sectors, however, it is considered one of the most risky activities in mining. In case of lack of proper management and planning, it creates irreparable risks for human resources, equipment and environment. In order to prevent the occurrence of such conditions, it is necessary to identify the factors that lead to the creation of danger after the explosion before planning and executing the explosion operation, and then take necessary measures to prevent them. In order to achieve this goal, in this research to assess the risk of consequences of the explosion of iron ore mines in Sangan, first by studying the scientific history of the subject and conducting the necessary investigations, the most important factors underlying the occurrence of risk in explosion operations were identified and listed. In the next step, all the important and effective parameters in the output of the blasting operation were examined and evaluated. By recording and examining the results of more than 25 explosions in Sangan mines, 7 negative consequences of the explosion results of this mine, which are of high intensity, were identified and recorded. Then, a fault tree was drawn separately for each of these consequences, and the relationship between the factors causing these events was analyzed and investigated in the form of the logical structure of the fault tree. Due to the limitation and lack of databaxse about the results of the explosion and also to overcome the uncertainty in the nature of the investigated parameters, the fuzzy error tree analysis method was used to calculate the probability of the final event. In the next step, the fuzzy numbers were made non-fuzzy by the consensus of the experts using the cost method and the trapezoidal formula. Then, the number obtained from the de-fuzzification step, which is a possibility, was converted into a probability state, and the probability rate of each final event and finally the probability rate of the final event was obtained. Then, the set of minimum, ranking and most critical cuts were also determined. According to the calculations, the probability rate of the final event of over-size is 28.7%, Backbreack is 28.2%, Toe is 24.3%, Fly Rock is 21.8%, Missfire is 12.5%, the high of Muckpile is 12.1% and Dust is 11.2%. Finally, according to the determination of minimum critical cut sets, control methods were proposed and presented to reduce negative effects and prevent financial and human losses.