Neutrosophic Models for Nursing Staff Allocation

Authors

  • Riber Fabián Donoso Noroña Universidad Regional Autónoma de Los Andes, Ambato. Ecuador.
  • Nairovys Gómez Martínez Universidad Regional Autónoma de Los Andes. Ambato. Ecuador.
  • Sara Guerrón Rodríguez Universidad Regional Autónoma de Los Andes. Tulcán. Ecuador.
  • Salah Hasan Saleh Al-Subhi Universidad de las Ciencias Informáticas-Cuba-Asociación Latinoamericana de Ciencias Neutrosóficas, Yemen.

Keywords:

Neutrosophy, nursing, healthcare environment

Abstract

 In Ecuador, management of nursing staff availability in healthcare settings is challenged by variability in demand for 
care, uncertainty in skill assessment, and imprecision in resource planning. Therefore, the objective of this study focuses on 
analyzing neutrosophic nursing staff assignment models that integrate uncertainty and imprecision in decision-making, in order 
to improve the quality of the service in healthcare settings. For the development and modeling of the study results, the Neutro
sophic TOPSIS method was applied. The results revealed the need for continuous evaluation and adaptability in staff allocation, 
along with the application of strategies based on neutrosophy. These conclusions highlight the value of neutrosophy as a tool to 
address uncertainty and imprecision in medical care by improving the quality of nursing services in Ecuador. 

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Published

2023-12-12

How to Cite

Riber Fabián Donoso Noroña, Nairovys Gómez Martínez, Sara Guerrón Rodríguez, & Salah Hasan Saleh Al-Subhi. (2023). Neutrosophic Models for Nursing Staff Allocation. Neutrosophic Sets and Systems, 62, 181-190. https://fs.unm.edu/nss8/index.php/111/article/view/3845