An integrated approach of analytical network process and fuzzy based spatial decision making systems applied to landslide risk mapping

摘要: Abstract Landslides in mountainous areas render major damages to residential areas, roads, and farmlands. Hence, one of the basic measures reduce possible damage is by identifying landslide-prone through landslide mapping different models methods. The purpose conducting this study evaluate efficacy a combination two analytical network process (ANP) fuzzy logic risk Azarshahr Chay basin northwest Iran. After field investigations review research literature, factors affecting occurrence landslides including slope, slope aspect, altitude, lithology, land use, vegetation density, rainfall, distance fault, rivers, along with map distribution occurred were prepared GIS environment. Then, was used for weighting sub-criteria, ANP applied weight criteria. Next, they integrated based on spatial analysis methods produced. Evaluating results using receiver operating characteristic curves shows that hybrid model designed under curve 0.815 has good accuracy. Also, according map, total 23.22% area, amounting 105.38 km 2 , high very high-risk class. Results are great importance regional planning tasks prediction can be mitigation future hazards area.