Landslide susceptibility assessment using an integrated approach of the analytic network process and fuzzy logic, a case of Urmia Lake Basin

The occurrence of landslides has always been a problem in spatial planning as an environmental threat. aim the present study was to zoning landslide sensitive areas Urmia Lake Basin and investigate correlation between characteristics region amount landslide. To achieve these purposes, situation investigated using combination Fuzzy Analytical Network Process (ANP) methods. criteria' weight is obtained ANP, fuzzy Membership command, linear function, sub-criteria, their membership degree (between 0 1) are calculated. weighted raster layers were combined Gamma overlay function. As result this operation, classified map which shows that 16.6% area very high susceptibility, highest area, i.e., 27.32%, relatively susceptibility. results compared with data recorded field observations at sites. showed out 182 points collected, 148 (equivalent 81.31%) correspond class 6 (very susceptibility) 7 (extremely probable). research can be used crisis management, identifying suitability terms geomorphological features, natural hazards.