Reza Mansoori

Landslides as a natural phenomenon every year in the world and in our beloved country Iran cause a lot of human and financial losses, and the failure to pay attention to landslide-prone areas in the studies of infrastructure projects causes the aforementioned problems. In the south of Bushehr province counties of Kangan, Asalouye, Jam and Dayyer (the area studied in this thesis), due to the implementation of important oil and gas projects, as well as the history of landslides that caused significant damage to the transportation infrastructure, this was the reason why I sought to find a low-cost and quick access method that have sufficient precision and accuracy in the results, therefore, while examining other common methods, the use of a synthetic method , the application of fuzzy logic in GIS software, and along with Hierarchical analysis process (AHP) the identification of the main and secondary criteria affecting landslides with a focus Earthquake as one of the most important factors, then weighting the criteria and determining which criterion has the most or least role with the help of TerrSET 2020 software and making each of these criteria as a layer in the GIS software and finally With the help of fuzzy logic, high-risk, low-risk and medium-risk areas were identified and marked on the map.