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Fuzzy Approach to Optimal Placement of Health Centers

  • Juan Carlos Figueroa-García
  • Carlos Franco
  • Vladik KreinovichEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1000)

Abstract

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.

Notes

Acknowledgements

This work was supported in part by the US National Science Foundation grant HRD-1242122 (Cyber-ShARE Center of Excellence).

References

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    Bezdek, J.C.: A Primer on Cluster Analysis: 4 Basic Methods that (Usually) Work, 1st edn. Design Publishing (2017)Google Scholar
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    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

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Juan Carlos Figueroa-García
    • 1
  • Carlos Franco
    • 2
  • Vladik Kreinovich
    • 3
    Email author
  1. 1.Department of Industrial EngineeringUniversidad DistritalBogotá D.C.Colombia
  2. 2.School of ManagementUniversidad del RosarioBogotáColombia
  3. 3.Department of Computer ScienceUniversity of Texas at El PasoEl PasoUSA

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