Fuzzy Approach to Optimal Placement of Health Centers

Juan Carlos Figueroa-García, Carlos Franco, Vladik Kreinovich

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationFuzzy Techniques
Subtitle of host publicationTheory and Applications - Proceedings of the 2019 Joint World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS 2019
EditorsRalph Baker Kearfott, Ildar Batyrshin, Marek Reformat, Martine Ceberio, Vladik Kreinovich
PublisherSpringer
Pages793-799
Number of pages7
ISBN (Print)9783030219192
DOIs
StatePublished - Jan 1 2019
EventJoint World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society, IFSA/NAFIPS 2019 - Lafayette, United States
Duration: Jun 18 2019Jun 21 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1000
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceJoint World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society, IFSA/NAFIPS 2019
Country/TerritoryUnited States
CityLafayette
Period6/18/196/21/19

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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