ranking zones of tehran to add new emergency services using fuzzy ahp

this paper presents a multi-attribute decision-making model to rank and select the best zones of the city of tehran in order to add new emergency services. the purpose of this decision-making problem is to prioritize the zones having a higher need to emergency services, so that the emergency services to people in different zones get optimized. a multi-criteria decision making model is presented on the basis of experts' opinions so that the ranking of the model satisfactorily improves response time to requests of emergency services. a three-level hierarchical structure is proposed and a fuzzy ahp method is used to rank alternatives and the optimal location of emergency services. also, dependencies between criteria are considered using an anp method. paired comparison matrices of decision-making criteria and alternatives are built based on data sets of traffic and transportation studies organization of tehran, geophysics institute of university of tehran, and tehran municipality cultural department.