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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2020
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| Online Access: | http://journalarticle.ukm.my/16071/ http://journalarticle.ukm.my/16071/1/jqma-16-2-paper7-2.pdf |
| _version_ | 1848813957267062784 |
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| author | Suriana Alias, Daud Mohamad, Adibah Shuib, |
| author_facet | Suriana Alias, Daud Mohamad, Adibah Shuib, |
| author_sort | Suriana Alias, |
| building | UKM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T00:26:26Z |
| format | Article |
| id | oai:generic.eprints.org:16071 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T00:26:26Z |
| publishDate | 2020 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org: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/ |
| spellingShingle | Suriana Alias, Daud Mohamad, Adibah Shuib, Roughness and similarity measure of rough neutrosophic multisets using vectorial model of information |
| title | 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_short | 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 |
| url | http://journalarticle.ukm.my/16071/ http://journalarticle.ukm.my/16071/ http://journalarticle.ukm.my/16071/1/jqma-16-2-paper7-2.pdf |