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 original | Inglés |
|---|---|
| Título de la publicación alojada | Computational Intelligence Methodologies Applied to Sustainable Development Goals |
| Editorial | Springer |
| Capítulo | 7 |
| Páginas | 97-108 |
| Número de páginas | 12 |
| ISBN (versión digital) | 9783030973445 |
| ISBN (versión impresa) | 9783030973438 |
| DOI | |
| Estado | Publicada - 2022 |
Serie de la publicación
| Nombre | Studies in Computational Intelligence |
|---|---|
| Volumen | 1036 |
| ISSN (versión impresa) | 1860-949X |
| ISSN (versión digital) | 1860-9503 |
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
-
ODS 9: Industria, innovación e infraestructura
Áreas temáticas de ASJC Scopus
- Salud pública, medioambiental y laboral
- Ciencia de la Computación General
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