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A binary logarithm similarity measure with roughness approximation of rough neutrosophic set for covid-19 / Suriana Alias …[et al.]

Roughness measures for uncertainty data occur with less consideration since the data involve indeterminacy and inconsistency. The indeterminacy plus inconsistency can be solved by a rough neutrosophic set with roughness approximation. Therefore, a binary logarithm similarity measure for a rough neut...

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Main Authors: Alias, Suriana, Mustapha, Norzieha, Md Yasin, Roliza, Abd Rhani, Norarida, Yaso, Muhammad Naim Haikal, Ramlee, Hazlin Shahira
Format: Article
Language:English
Published: Universiti Teknologi MARA, Kelantan 2023
Subjects:
Analysis
Algorithms
Online Access:https://ir.uitm.edu.my/id/eprint/89056/1/89056.pdf
https://ir.uitm.edu.my/id/eprint/89056/
https://journal.uitm.edu.my/ojs/index.php/JMCS
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spelling my.uitm.ir.890562024-03-21T02:49:21Z https://ir.uitm.edu.my/id/eprint/89056/ A binary logarithm similarity measure with roughness approximation of rough neutrosophic set for covid-19 / Suriana Alias …[et al.] jmcs Alias, Suriana Mustapha, Norzieha Md Yasin, Roliza Abd Rhani, Norarida Yaso, Muhammad Naim Haikal Ramlee, Hazlin Shahira Analysis Algorithms Roughness measures for uncertainty data occur with less consideration since the data involve indeterminacy and inconsistency. The indeterminacy plus inconsistency can be solved by a rough neutrosophic set with roughness approximation. Therefore, a binary logarithm similarity measure for a rough neutrosophic set with roughness approximation was proposed in this research. A rough neutrosophic set was chosen as the uncertainty set theory information, which includes the upper and lower approximation with a boundary set approximation. The objectives of this research are to define a binary logarithm similarity measure for a rough neutrosophic set, to formulate the properties satisfied by the proposed similarity measure, and to develop a decision-making model by using a bina1y logarithm similarity measure for a case study (COVID-19). The roughness approximation was used in the derivation of the binary logarithm similarity measure. The proving result was finalized. Then, the derivation of binary logarithm similarity measures of a rough neutrosophic set was well defined. As a validation process, the similarity properties for identifying the most important priority group for COVID-19 vaccines were used such as age, health state, women, and job types. Following that, the decision-making for identifying the most important priority group for COVID-19 vaccines is presented. Universiti Teknologi MARA, Kelantan 2023-01-20 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/89056/1/89056.pdf A binary logarithm similarity measure with roughness approximation of rough neutrosophic set for covid-19 / Suriana Alias …[et al.]. (2023) Journal of Mathematics and Computing Science <https://ir.uitm.edu.my/view/publication/Journal_of_Mathematics_and_Computing_Science/>, 9 (2): 12. pp. 89-100. ISSN 0128-0767 https://journal.uitm.edu.my/ojs/index.php/JMCS
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 Analysis
Algorithms
spellingShingle Analysis
Algorithms
Alias, Suriana
Mustapha, Norzieha
Md Yasin, Roliza
Abd Rhani, Norarida
Yaso, Muhammad Naim Haikal
Ramlee, Hazlin Shahira
A binary logarithm similarity measure with roughness approximation of rough neutrosophic set for covid-19 / Suriana Alias …[et al.]
description Roughness measures for uncertainty data occur with less consideration since the data involve indeterminacy and inconsistency. The indeterminacy plus inconsistency can be solved by a rough neutrosophic set with roughness approximation. Therefore, a binary logarithm similarity measure for a rough neutrosophic set with roughness approximation was proposed in this research. A rough neutrosophic set was chosen as the uncertainty set theory information, which includes the upper and lower approximation with a boundary set approximation. The objectives of this research are to define a binary logarithm similarity measure for a rough neutrosophic set, to formulate the properties satisfied by the proposed similarity measure, and to develop a decision-making model by using a bina1y logarithm similarity measure for a case study (COVID-19). The roughness approximation was used in the derivation of the binary logarithm similarity measure. The proving result was finalized. Then, the derivation of binary logarithm similarity measures of a rough neutrosophic set was well defined. As a validation process, the similarity properties for identifying the most important priority group for COVID-19 vaccines were used such as age, health state, women, and job types. Following that, the decision-making for identifying the most important priority group for COVID-19 vaccines is presented.
format Article
author Alias, Suriana
Mustapha, Norzieha
Md Yasin, Roliza
Abd Rhani, Norarida
Yaso, Muhammad Naim Haikal
Ramlee, Hazlin Shahira
author_facet Alias, Suriana
Mustapha, Norzieha
Md Yasin, Roliza
Abd Rhani, Norarida
Yaso, Muhammad Naim Haikal
Ramlee, Hazlin Shahira
author_sort Alias, Suriana
title A binary logarithm similarity measure with roughness approximation of rough neutrosophic set for covid-19 / Suriana Alias …[et al.]
title_short A binary logarithm similarity measure with roughness approximation of rough neutrosophic set for covid-19 / Suriana Alias …[et al.]
title_full A binary logarithm similarity measure with roughness approximation of rough neutrosophic set for covid-19 / Suriana Alias …[et al.]
title_fullStr A binary logarithm similarity measure with roughness approximation of rough neutrosophic set for covid-19 / Suriana Alias …[et al.]
title_full_unstemmed A binary logarithm similarity measure with roughness approximation of rough neutrosophic set for covid-19 / Suriana Alias …[et al.]
title_sort binary logarithm similarity measure with roughness approximation of rough neutrosophic set for covid-19 / suriana alias …[et al.]
publisher Universiti Teknologi MARA, Kelantan
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/89056/1/89056.pdf
https://ir.uitm.edu.my/id/eprint/89056/
https://journal.uitm.edu.my/ojs/index.php/JMCS
_version_ 1794641280070844416
score 13.211869

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