The Zoning of Earthquake risk by using fuzzy inference system and fuzzy analytic hierarchy process

The present research was performed with the aim of microzonation risk of earthquake using fuzzy inference system model and fuzzy analytic hierarchy process in district 1 of Ahvaz Municipality. In this study 19 criteria (population, land use, building density, occupancy level, historical background, floors, structures, distance from health centers, outdoor fireplaces and military facilities, proximity to faults, electrical, subway, high-pressure gas and petrol stations) were selected and converted into raster format in ArcGIS®10.1 environment to generate the standard layers. Linguistic variables limitation and fuzzy membership functions were then written using MATLAB program. The results indicated that, the fuzzy inference system has better performance than fuzzy analytic hierarch process model. In addition, based on the results of the fuzzy inference system, existence of areas with a very high, high, and a medium rate of risk showed 60% (4.48 Km2) of total area (​7.6 Km2). This indicated the existence of the medium up to a high rate of risk in mentioned district. Furthermore the area with low and very low rate of risk was 40% of area (3.12 Km2) which is mostly consisted of arid lands and farms in the west and southwest of the district.