A Method Based on Artificial Intelligence and Geospatial Information System in Optimum Site Selection

The goal of an optimum site selection problem is to select a location with special use based on different criteria. Generally, optimum site selection problems have complex structure. One of the most important problems in cities is optimum site selection in Fire Stations that have more importance due to saving lives and properties. In this study, be tried to close this problem to reality by considering 13 effective criteria in optimum site selection for fire stations. Also by integrating GIS, Fuzzy Reasoning Systems (FRS) and Bee Colony optimization method, a new reasonable method proposed to solve optimum site selection problem. GIS used in evaluation and analyze candidate locations, FRS used to calculate rate of proximity between candidates and ideal expert's locations and bee colony used to optimize candidate locations on time. Proposed locations outcome from this method made increasing in service area from 69% to 95.2% that cause more servicing to urban.