An optimization model for location-allocation of health services under uncertainty

Carlos Alberto Franco Franco, Juan Carlos Figueroa-Garcia, Roman Neruda

Research output: Chapter in Book/ReportChapterResearch


This work presents a uncertainty-based optimization model for allocation of healthcare facilities to serve patients with different needs. Fuzzy uncertainty is considered in the location-allocation costs, utility and the available budget which are commonly defined by experts and are subject to adjustments and negotiation over time. A fuzzy optimization method based on the cumulative membership function of a fuzzy set is applied to solve the problem where an equilibrium between a fuzzy utility goal and fuzzy-budgets, covering and service constraints is reached.
Original languageEnglish
Title of host publicationComputational Intelligence Methodologies Applied to Sustainable Development Goals
Number of pages12
ISBN (Electronic)978-3-030-97344-5
ISBN (Print)978-3-030-97343-8
StatePublished - 2022

Publication series

NameStudies in Computational Intelligence
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

All Science Journal Classification (ASJC) codes

  • Public Health, Environmental and Occupational Health
  • General Computer Science

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