Volume 21 , Issue 1 , PP: 192-199, 2023 | Cite this article as | XML | Html | PDF | Full Length Article
Ximena Trujillo Romero 1 * , Alvaro P. Moina Veloz 2 , Daniela A. Cobo Álvarez 3
Doi: https://doi.org/10.54216/IJNS.210118
Celiac disease is an autoimmune illness that causes damage to the small intestine and, in some cases, the bones as well. Histological analysis of duodenal biopsies obtained during upper digestive endoscopy is required for a diagnosis. The production of antibodies may be detected by immunological testing by taking a blood sample. Histology takes a long time, and endoscopy is intrusive. This paper used the MCDM method to compute the objective the celiac disease. In statistical distribution theory, entropy is often employed as a proxy for the uncertainty, unpredictability, or chaos of experimental results. The literature's entropy approaches provide a numeric measure of a random variable's information but struggle to handle data with interval values. The results of an experiment with an unknown outcome are often presented in interval form. The entropy method is used to compute the weights of the criteria. The neutrosophic sets were used to overcome the uncertain information in this study. This paper used six criteria and nine alternatives. The results are shown in this study.
Neutrosophic Set , MCDM , Celica Disease , Entropy Method
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