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Roughness and similarity measure of rough neutrosophic multisets using vectorial model of information

The roughness and similarity measure for two different information in the same universal set is useful in explaining the strength and completeness of the information given. Then, for rough neutrosophic multisets environment, the lower and upper approximation was a concerned property to study in e...

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Main Authors: Suriana Alias,, Daud Mohamad,, Adibah Shuib,
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2020
Online Access:http://journalarticle.ukm.my/16071/1/jqma-16-2-paper7-2.pdf
http://journalarticle.ukm.my/16071/
https://www.ukm.my/jqma/current/
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spelling my-ukm.journal.160712021-01-24T16:02:54Z http://journalarticle.ukm.my/16071/ Roughness and similarity measure of rough neutrosophic multisets using vectorial model of information Suriana Alias, Daud Mohamad, Adibah Shuib, The roughness and similarity measure for two different information in the same universal set is useful in explaining the strength and completeness of the information given. Then, for rough neutrosophic multisets environment, the lower and upper approximation was a concerned property to study in explaining the roughness of the information needed. Meanwhile, the vectorial models of information which are cosine measure and dice measure represent the result for the similarity measure of rough neutrosophic multisets. The finding of this set theory gives a new generalization about similarity measure for multiple information involving indeterminacy information in the same environment. Besides that, the rough neutrosophic multisets theory also applicable set-in decision making for medical diagnosis. The comparison result showed that the roughness approximation of information is essential to get the best result in a close similarity measure. Penerbit Universiti Kebangsaan Malaysia 2020 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/16071/1/jqma-16-2-paper7-2.pdf Suriana Alias, and Daud Mohamad, and Adibah Shuib, (2020) Roughness and similarity measure of rough neutrosophic multisets using vectorial model of information. Journal of Quality Measurement and Analysis, 16 (2). pp. 207-217. ISSN 1823-5670 https://www.ukm.my/jqma/current/
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description The roughness and similarity measure for two different information in the same universal set is useful in explaining the strength and completeness of the information given. Then, for rough neutrosophic multisets environment, the lower and upper approximation was a concerned property to study in explaining the roughness of the information needed. Meanwhile, the vectorial models of information which are cosine measure and dice measure represent the result for the similarity measure of rough neutrosophic multisets. The finding of this set theory gives a new generalization about similarity measure for multiple information involving indeterminacy information in the same environment. Besides that, the rough neutrosophic multisets theory also applicable set-in decision making for medical diagnosis. The comparison result showed that the roughness approximation of information is essential to get the best result in a close similarity measure.
format Article
author Suriana Alias,
Daud Mohamad,
Adibah Shuib,
spellingShingle Suriana Alias,
Daud Mohamad,
Adibah Shuib,
Roughness and similarity measure of rough neutrosophic multisets using vectorial model of information
author_facet Suriana Alias,
Daud Mohamad,
Adibah Shuib,
author_sort Suriana Alias,
title Roughness and similarity measure of rough neutrosophic multisets using vectorial model of information
title_short Roughness and similarity measure of rough neutrosophic multisets using vectorial model of information
title_full Roughness and similarity measure of rough neutrosophic multisets using vectorial model of information
title_fullStr Roughness and similarity measure of rough neutrosophic multisets using vectorial model of information
title_full_unstemmed Roughness and similarity measure of rough neutrosophic multisets using vectorial model of information
title_sort roughness and similarity measure of rough neutrosophic multisets using vectorial model of information
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2020
url http://journalarticle.ukm.my/16071/1/jqma-16-2-paper7-2.pdf
http://journalarticle.ukm.my/16071/
https://www.ukm.my/jqma/current/
_version_ 1690372105340715008
score 13.244367

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