| Autor: |
Mustapha, Norzieha, Alias, Suriana, Yasin, Roliza Md, Mohd Yusof, Nurnisa Nasuha, Fakhrarazi, Nurul Najiha, Aisyah Nik Hassan, Nik Nur |
| Předmět: |
|
| Zdroj: |
International Journal of Neutrosophic Science (IJNS); 2022, Vol. 19 Issue 1, p375-383, 9p |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
