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.
|Title of host publication||Computational Intelligence Methodologies Applied to Sustainable Development Goals|
|Number of pages||12|
|State||Published - 2022|
|Name||Studies in Computational Intelligence|
- Public Health, Environmental and Occupational Health
- General Computer Science