Staff View: Some distance based similarity measure of Neutrosophic sets and the application to medical diagnosis / Nurul Najiha Fakhrarazi, Nurnisa Nasuha Mohd Yusof and Nik Nur Aisyah Nik Hassan

Some distance based similarity measure of Neutrosophic sets and the application to medical diagnosis / Nurul Najiha Fakhrarazi, Nurnisa Nasuha Mohd Yusof and Nik Nur Aisyah Nik Hassan

Diagnosis is the process of determining which illness or condition is causing a person’s symptoms and indications. The patient’s medical history and physical examination are frequently used to acquire the essential informations for diagnosis. Medical diagnosis have many uncertain informations. The n...

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Main Authors:	Fakhrarazi, Nurul Najiha, Mohd Yusof, Nurnisa Nasuha, Nik Hassan, Nik Nur Aisyah
Format:	Student Project
Language:	English
Published:	2022
Subjects:	Fuzzy arithmetic Problems, exercises, etc. Medical education. Medical schools. Research
Online Access:	https://ir.uitm.edu.my/id/eprint/72392/1/72392.pdf https://ir.uitm.edu.my/id/eprint/72392/
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id	my.uitm.ir.72392
record_format	eprints
spelling	my.uitm.ir.723922023-03-21T08:07:29Z https://ir.uitm.edu.my/id/eprint/72392/ Some distance based similarity measure of Neutrosophic sets and the application to medical diagnosis / Nurul Najiha Fakhrarazi, Nurnisa Nasuha Mohd Yusof and Nik Nur Aisyah Nik Hassan Fakhrarazi, Nurul Najiha Mohd Yusof, Nurnisa Nasuha Nik Hassan, Nik Nur Aisyah Fuzzy arithmetic Problems, exercises, etc. Medical education. Medical schools. Research Diagnosis is the process of determining which illness or condition is causing a person’s symptoms and indications. The patient’s medical history and physical examination are frequently used to acquire the essential informations for diagnosis. Medical diagnosis have many uncertain informations. The neutrosophic set is a combination of the fuzzy set and the intuitionistic fluffy set which can deal with uncertainty, vagueness and imprecision. Thus, this study aims to focus on distance based similarity measure of neutrosophic set to analyse medical diagnosis patient’s risk. In this study, some distance based similarity measures will be based on Hausdorff distance, Hamming distance, and Euclidean distance. Then, a case study is conducted by using the data on the severity level of the existed symptoms and diagnosis found in one patient. The three distance-based similarity measures resulting the values more than 0.5 which show the patient possibly suffer from the disease. The obtained similarity measures are then ranking to identify patient disease. After that by using entropy weight method to make another comparison between three distance-based similarity measures which show more consistent result. This evaluation and diagnosis approach is applicable to a wide variety of other resources and the environmental problems. 2022 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/72392/1/72392.pdf Some distance based similarity measure of Neutrosophic sets and the application to medical diagnosis / Nurul Najiha Fakhrarazi, Nurnisa Nasuha Mohd Yusof and Nik Nur Aisyah Nik Hassan. (2022) [Student Project] <http://terminalib.uitm.edu.my/72392.pdf> (Submitted)
institution	Universiti Teknologi Mara
building	Tun Abdul Razak Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Mara
content_source	UiTM Institutional Repository
url_provider	http://ir.uitm.edu.my/
language	English
topic	Fuzzy arithmetic Problems, exercises, etc. Medical education. Medical schools. Research
spellingShingle	Fuzzy arithmetic Problems, exercises, etc. Medical education. Medical schools. Research Fakhrarazi, Nurul Najiha Mohd Yusof, Nurnisa Nasuha Nik Hassan, Nik Nur Aisyah Some distance based similarity measure of Neutrosophic sets and the application to medical diagnosis / Nurul Najiha Fakhrarazi, Nurnisa Nasuha Mohd Yusof and Nik Nur Aisyah Nik Hassan
description	Diagnosis is the process of determining which illness or condition is causing a person’s symptoms and indications. The patient’s medical history and physical examination are frequently used to acquire the essential informations for diagnosis. Medical diagnosis have many uncertain informations. The neutrosophic set is a combination of the fuzzy set and the intuitionistic fluffy set which can deal with uncertainty, vagueness and imprecision. Thus, this study aims to focus on distance based similarity measure of neutrosophic set to analyse medical diagnosis patient’s risk. In this study, some distance based similarity measures will be based on Hausdorff distance, Hamming distance, and Euclidean distance. Then, a case study is conducted by using the data on the severity level of the existed symptoms and diagnosis found in one patient. The three distance-based similarity measures resulting the values more than 0.5 which show the patient possibly suffer from the disease. The obtained similarity measures are then ranking to identify patient disease. After that by using entropy weight method to make another comparison between three distance-based similarity measures which show more consistent result. This evaluation and diagnosis approach is applicable to a wide variety of other resources and the environmental problems.
format	Student Project
author	Fakhrarazi, Nurul Najiha Mohd Yusof, Nurnisa Nasuha Nik Hassan, Nik Nur Aisyah
author_facet	Fakhrarazi, Nurul Najiha Mohd Yusof, Nurnisa Nasuha Nik Hassan, Nik Nur Aisyah
author_sort	Fakhrarazi, Nurul Najiha
title	Some distance based similarity measure of Neutrosophic sets and the application to medical diagnosis / Nurul Najiha Fakhrarazi, Nurnisa Nasuha Mohd Yusof and Nik Nur Aisyah Nik Hassan
title_short	Some distance based similarity measure of Neutrosophic sets and the application to medical diagnosis / Nurul Najiha Fakhrarazi, Nurnisa Nasuha Mohd Yusof and Nik Nur Aisyah Nik Hassan
title_full	Some distance based similarity measure of Neutrosophic sets and the application to medical diagnosis / Nurul Najiha Fakhrarazi, Nurnisa Nasuha Mohd Yusof and Nik Nur Aisyah Nik Hassan
title_fullStr	Some distance based similarity measure of Neutrosophic sets and the application to medical diagnosis / Nurul Najiha Fakhrarazi, Nurnisa Nasuha Mohd Yusof and Nik Nur Aisyah Nik Hassan
title_full_unstemmed	Some distance based similarity measure of Neutrosophic sets and the application to medical diagnosis / Nurul Najiha Fakhrarazi, Nurnisa Nasuha Mohd Yusof and Nik Nur Aisyah Nik Hassan
title_sort	some distance based similarity measure of neutrosophic sets and the application to medical diagnosis / nurul najiha fakhrarazi, nurnisa nasuha mohd yusof and nik nur aisyah nik hassan
publishDate	2022
url	https://ir.uitm.edu.my/id/eprint/72392/1/72392.pdf https://ir.uitm.edu.my/id/eprint/72392/
_version_	1761622322365595648
score	13.211869

Some distance based similarity measure of Neutrosophic sets and the application to medical diagnosis / Nurul Najiha Fakhrarazi, Nurnisa Nasuha Mohd Yusof and Nik Nur Aisyah Nik Hassan

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