Neutrosophic multicriteria method for the identification of Behcet's disease associated with brain tumor

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Published: Jan 1, 2023
Keywords:
neutrosophic multicriteria method, identification of Behcet's disease, brain tumor

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Alejandro Sebastián Mayorga Garcés
University of Regional Autónoma de Los Andes. Ambato. Ecuador
Liliana Katherine Sailema López
University of Regional Autónoma de Los Andes, Ambato. Ecuador
Génesis Alexandra Zúñiga Cárdenas
University of Regional Autónoma de Los Andes, Ambato. Ecuador

Abstract

Behcet's disease is a multifactorial multisystemic vasculitis that involves damage to any type or size of blood vessels, as well as skin and joint involvement, as well as gastrointestinal, musculoskeletal, cardio-vascular, and neurological disorders. The objective of this research is to develop a neutrosophic multicriteria method for the identification of Behcet's disease associated with a brain tumor. The method allows timely classification of Behcet's disease associated with brain tumor. A study is implemented in which the evaluation and classification is determined with previously stored data.

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How to Cite
Neutrosophic multicriteria method for the identification of Behcet’s disease associated with brain tumor. (2023). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 25, 87-94. https://fs.unm.edu/NCML2/index.php/112/article/view/292
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Vol. 25 (2023): January-March
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Articles
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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Neutrosophic multicriteria method for the identification of Behcet’s disease associated with brain tumor. (2023). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 25, 87-94. https://fs.unm.edu/NCML2/index.php/112/article/view/292