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- W4386566454 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." @default.
- W4386566454 created "2023-09-10" @default.
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- W4386566454 date "2023-09-09" @default.
- W4386566454 modified "2023-10-16" @default.
- W4386566454 title "Medical Diagnosis via Refined Neutrosophic Fuzzy Logic: Detection of Illness using Neutrosophic Sets" @default.
- W4386566454 doi "https://doi.org/10.17762/jaz.v44is-1.197" @default.
- W4386566454 hasPublicationYear "2023" @default.
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