Fuzzy Approach to Optimal Placement of Health Centers
In countries with socialized medicine, it is important to decide how to distribute limited medical resources – in particular, where to place health centers. In this paper, we formulate and solve the corresponding constraint optimization problem. Once the locations are selected, it is necessary to decide which regions are served by each center. Traditionally, this decision is crisp, in the sense that each location is assigned to a single health center. We show that the medical service can be made more efficient if we allow fuzzy assignments, when some locations can be potentially served by two (or more) neighboring health centers.
This work was supported in part by the US National Science Foundation grant HRD-1242122 (Cyber-ShARE Center of Excellence).
- 1.Bezdek, J.C.: A Primer on Cluster Analysis: 4 Basic Methods that (Usually) Work, 1st edn. Design Publishing (2017)Google Scholar
- 2.Franco, C., López-Santana, R.E., Figueroa-García, J.C.: A mathematical model under uncertainty for optimizing medicine logistics in hospitals. In: Proceedings of the 5th Workshop on Engineering Applications WEA 2018, Part II, Medellín, Colombia, 17–19 October 2018 (2018)Google Scholar