Optimal spatial management using of fuzzy membership and overlaying functions and AHP model in GIS environment to clinics and hospitals site selection in Bandar Abbas

In most cities, the lack of appropriate space allocation and optimal allocation of city services, especially clinics (hospitals) and the number of factors affecting the positioning of these centers, increasing urban problems and citizens to follow. Therefore, this necessitates the use of effective methods and computer systems to optimize the positioning of these centers is increasingly apparent. The aim of this research is using fuzzy techniques and a comparison of the GIS to locate hospitals of Bandar Abbas has been optimized. Research

Using GIS capabilities and data analysis using Fuzzy Model for Optimal Positioning urban spaces to build hospitals in the city. Next the fuzzy membership small, large factors was performed. To weight the criteria are fuzzy, AHP method was performed. 30 questionnaires completed by architect experts and the weight of each of the layers was calculated. Finally, the overlaying layers to the overlap of fuzzy gamma 0.9, was used to analyze it.

Optimal sites to build new hospitals were identified on the map. By analyzing the decision and taking into account other aspects of a place in the semi-structural issues of the proposed locations was selected five place.

It was found that the land use is suitable for construction of new hospitals. The land in areas with high population density and close to population centers, green spaces and main streets and away from existing health centers Vaqand the multi-criteria fuzzy technology is a powerful tool for urban management.