Branch Mathematics and Statistics Faculty and Staff Publications
Medical Diagnosis via Refined Neutrosophic Fuzzy Logic: Detection of Illness using Neutrosophic Sets
Document Type
Article
Publication Date
2023
Abstract
The objective of the paper is to implement and validate diagnosis in the medical field via refined neutrosophic fuzzy logic (RNFL). As such, we have proposed a Max-Min composition (MMC) method in RNFL. This method deals with the diagnosis under certain constraints like uncertainty and indeterminacy. Further, we have considered the diagnosis problems to validate the sensitivity analysis of the novel multi attribute decision-making technique. Finally, we gave the graphical representations and compared the obtained results with other existing measures in refined neutrosophic fuzzy sets.
Language (ISO)
English
Keywords
Fuzzy set, Multi Fuzzy set, Refined Neutrosophic Fuzzy set, Max-Min composition
Recommended Citation
Hemabala, K.; B. Srinivasa Kumar; and Florentin Smarandache. "Medical Diagnosis via Refined Neutrosophic Fuzzy Logic: Detection of Illness using Neutrosophic Sets." (2023). https://digitalrepository.unm.edu/math_fsp/615
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Included in
Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons, Applied Mathematics Commons, Mathematics Commons
