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ZENODO
Article . 2015
License: CC BY
Data sources: Datacite
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ZENODO
Article . 2015
License: CC BY
Data sources: ZENODO
https://dx.doi.org/10.5281/zen...
Other literature type
Data sources: Microsoft Academic Graph
https://dx.doi.org/10.5281/zen...
Other literature type
Data sources: Microsoft Academic Graph
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Cosine Similarity Measure Of Rough Neutrosophic Sets And Its Application In Medical Diagnosis

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 30 Jan 2015Publisher:Zenodo
Authors: Surapati Pramanik; Kalyan Mondal;

doi: 10.5281/zenodo.23041

Cosine Similarity Measure Of Rough Neutrosophic Sets And Its Application In Medical Diagnosis

Abstract

In this paper, we define a rough cosine similarity measure between two rough neutrosophic sets. The notions of rough neutrosophic sets (RNS) will be used as vector representations in 3D-vector space. The rating of all elements in RNS is expressed with the upper and lower approximation operator and the pair of neutrosophic sets which are characterized by truth-membership degree, indeterminacy-membership degree, and falsity-membership degree. A numerical example of the medical diagnosis is provided to show the effectiveness and flexibility of the proposed method.

Keywords

medical diagnosis, cosine similarity, rough neutrosophic set

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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