عنوان مقاله [English]
Today, the science of risk analysis and seismic improvement of structures are from the earthquake engineering branches, whose process is very long, bulky, and costly. One of the most important problems in this field is the timeliness and the high error rate, so achieving a logical result can be used by decision-makers to solve problems. The goal is to provide a method to help accelerate earthquake risk analysis through refurbishment studies using neuro-fuzzy tools.400 schools were selected from Shahrekord and suburbs schools and then evaluated their seismic risk acceptance using a quick evaluation checklist based on the Rapid Assessment Guidelines of Buildings 364 and the ATC methodology. Also, with the help of wika software, among several structural data, the most effective ones were selected based on the number of replications and the value of the selection, then Anfis software was used to design the neuro-fuzzy system. To check the accuracy of the designed model, we first compared the level of risk obtained from the neuro-fuzzy system and the actual level of risk, and in the next step, we calculated the amount of dispersion of the outputs of the system and compared with the results in the data. This implies adopting the results of the neuro-fuzziness system and the results of the qualitative assessment and proper operation of the system. One of the main advantages of this method is the modeling of uncertainties, the entry of information from the structure by qualitative and quantitative methods, and the high speed of the risk analysis process.