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

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

Producción científica: Capítulo en Libro/InformeCapítuloInvestigación

Resumen

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.
Idioma originalInglés
Título de la publicación alojadaComputational Intelligence Methodologies Applied to Sustainable Development Goals
EditorialSpringer
Capítulo7
Páginas97-108
Número de páginas12
ISBN (versión digital)9783030973445
ISBN (versión impresa)9783030973438
DOI
EstadoPublicada - 2022

Serie de la publicación

NombreStudies in Computational Intelligence
Volumen1036
ISSN (versión impresa)1860-949X
ISSN (versión digital)1860-9503

Áreas temáticas de ASJC Scopus

  • Salud pública, medioambiental y laboral
  • Ciencia de la Computación General

Citar esto