Volume 19 , Issue 1 , PP: 375-383, 2022 | Cite this article as | XML | Html | PDF | Full Length Article
Norzieha Mustapha 1 * , Suriana Alias 2 , Roliza Md Yasin 3 , Nurnisa Nasuha Mohd Yusof 4 , Nurul Najiha Fakhrarazi 5 , Nik Nur Aisyah Nik Hassan 6
Doi: https://doi.org/10.54216/IJNS.190118
This study aims to propose a new entropy weight on the distance measure of single value neutrosophic set
(SVNS) to analyse medical diagnosis patient’s risk. Four distance measures will be integrated with three
entropy weight concepts and applied to medical diagnosis. A new entropy weight measure integrated with
the four distance measures are calculated using the medical data of one patient with five symptoms and five
diseases. The calculated new entropy and its associated distance measures give consistent finding with the
existing entropy weight measures. However, all the values are even smaller showing that the relation between
patient A and disease are stronger. This evaluation and diagnosis approach is applicable to a wide variety of
other resources and medical problems.
Distance measure , Entropy , Medical diagnosis , Single value neutrosophic set
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