Optimal Site Selection of Hospital Using Fuzzy TOPSIS (Case Study in Malayer City)

Building new service centers requires many expenses, and health-care uses are one kind of this field that it`s distribution on the city and specifying the optimal place for it is so important in order to give every citizen the best performance. Malayer is one of the cities of Hamedan in Iran that doesn't have suitable health-care and the hospital distribution, and by considering the increase in population, and need to fast access to the hospital, selecting the proper position become more important. In this paper, Malayer is chosen as a case study. This research aims to study on selecting the appropriate place by considering qualitative criteria and presenting the appropriate model for Malayer.

In this research, we tried to choose the optimal place to build a hospital in Malayer by using the ordinary fuzzy decision-making method. The parameters that are taken into account are population density, distance to other hospitals, access to main roads, and distance to industrial and military centers. These parameters are combined ordinary by fuzzy TOPSIS.

Results indicate that constructed hospitals in Malayer do not match with position-selecting criteria.

This important point shown by this research is some regions of the town have no health service. In contrast, the citizens placed in the other areas receive more suitable services and the number of hospitals needed at the moment for Malayer is six.