Spatial Prediction of Landslides Using Hybrid Multi-Criteria Decision-Making Methods: A Case Study of the Saqqez-Marivan Mountain Road in Iran

Landslides along the main roads in mountains cause fatalities, ecosystem damage, and land degradation. This study mapped susceptibility to landslides Saqqez-Marivan road located Kurdistan province, Iran, comparing an ensemble fuzzy logic with analytic network process (fuzzy logic-ANP; FLANP) TOPSIS logic-TOPSIS; FLTOPSIS) terms of their prediction capacity. First, 100 identified through field surveys were randomly allocated a 70% dataset 30% dataset, respectively, for training validating methods. Eleven landslide conditioning factors, including slope, aspect, elevation, lithology, use, distance fault, river, road, soil type, curvature, precipitation considered. The performance methods was evaluated by inspecting areas under receiver operating curve (AUCROC). accuracies 0.983 0.938, FLTOPSIS FLANP Our findings demonstrate that although both models are known be promising, method had better capacity predicting area. Therefore, map developed is suitable inform management planning prone allocation development purposes, especially mountainous areas.