TY - CHAP
T1 - An optimization model for location-allocation of health services under uncertainty
AU - Franco Franco, Carlos Alberto
AU - Figueroa-Garcia, Juan Carlos
AU - Neruda, Roman
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85128608821&partnerID=8YFLogxK
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U2 - 10.1007/978-3-030-97344-5_7
DO - 10.1007/978-3-030-97344-5_7
M3 - Capítulo
SN - 9783030973438
T3 - Studies in Computational Intelligence
SP - 97
EP - 108
BT - Computational Intelligence Methodologies Applied to Sustainable Development Goals
PB - Springer
ER -
