International Journal of Neutrosophic Science IJNS 2690-6805 2692-6148 10.54216/IJNS https://www.americaspg.com/journals/show/1859 2020 2020 Docente de la carrera de Medicina de la Universidad Regional Autónoma de los Andes (UNIANDES), Ecuador Neyda Hernández Bandera Docente de la carrera de Medicina de la Universidad Regional Autónoma de los Andes (UNIANDES Santo Domingo), Ecuador Jenny Maribel M. Arizaga Docente de la carrera de Medicina de la Universidad Regional Autónoma de los Andes (UNIANDES Ambato), Ecuador Enrique Rodríguez Reyes Chronic obstructive pulmonary disease (COPD), is a debilitating lung condition that may lead to several other serious health problems and even death if left untreated. The ability to diagnose illnesses quickly and affordably is crucial. First and foremost, helping physicians determine how severe COPD cases are is crucial for placing patients in the appropriate institutions. Based on system engineering principles and real-world clinical practice, this article develops a COPD severity evaluation indicator system followed by suggests a neutrosophic distance from the average solution (EDAS) approach to making decisions in a linguistically uncertain setting. The alternatives are ranked by how far they are from the average answer on every factor using the EDAS technique. Distance-based multi-criteria decision-making techniques are analogous to this approach. It expedites the decision-making process by streamlining the computation of distances to an agreed solution. The EDAS method is used to compute the weights of criteria and then rank the alternatives under the neutrosophic model. The neutrosophic set is used in this paper to solve the uncertain information in the process of this evaluation. The EDAS method is applied in various criteria and alternatives and the results are discussed.  2023 2023 184 191 10.54216/IJNS.210117 https://www.americaspg.com/articleinfo/21/show/1859