138- Presenting a New Model to Locate Emergency Centers to Reduce Casualties in the Time of Earthquake using FICA Algorithm Case Study: District Three of Tehran-Iran

In this study, models of artificial intelligence, MCDM and GIS have been used in order to optimize urban land use location. ANP model has been used for comparing and weighting the criteria, the fuzzy model for demonstrating optimized locations and the fuzzy imperialist competition algorithm have been used for locating the relief centers in district three of Tehran to reduce losses in the time of earthquake using FICA algorithm. The information needed for this research have been obtained through detailed results of the General Census of Population and Housing, Master and Detailed Plans of district three of Tehran as well as the documents, magazines and related books. To analyze data, Super Decisions, IDRIS, GIS, ARC, AUTOCAD and MATLAB using gamma fuzzy models and FICA algorithm, which are suitable models to locate relief centers, have been used. The results obtained in this study showed that locating the relief centers in district three is not in a suitable condition, and giving services, especially in the time of occurring earthquake, is faced with many deficiencies and have not the necessary performances. Therefore, the results of this study can quite help urban planners better comprehend and prioritize urban issues in the time of occurring earthquake and find some solutions to address the problems.

Optimized location, relief center, district three of Tehran, FICA algorithm, MCDM, FUZZY