Modeling of temporary settlement areas in earthquake crisis management by fuzzy based decision making (Case study of Marand city)

Abstract

Abstract Marand city is located in very dangerous zone in terms of seismicity status, Therefore the problem of temporary settlement and optimization of the population settlements in the occurrence of earthquake is very important. This study has been implemented with the aim of identifying and spatial modeling of temporary settlement area in order to manage the earthquake crisis. Eight effective criteria in modeling temporary settlement has been extracted by studying research theoretical foundations and using the opinions of experts, then by using two models; Fuzzy Analytic Hierarchy Process (FAHP) and Fuzzy Inference System (FIS), the area with proper conditions for temporary settlement in earthquake disaster management was determined. By comparing the results from the two models Based on expert’s opinions and Feasibility, optimization and practical of the Suggested zones among the zones with very good condition in Fuzzy Inference system, 232723 square meters And in the Fuzzy Analytical Hierarchy Process Model 44995 square meters, are Confirmed by experts and have most proper condition. The results indicates more accuracy in results of fuzzy inference system In comparison with fuzzy analytic hierarchy process.

Keywords

• temporary settlement area
• marand city
• fuzzy analytic hierarchy process
• fuzzy inference system