Improved cosine similarity measures of simplified neutrosophic sets for medical diagnoses

descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 2015 English Publisher:Elsevier BVJournal:Artificial Intelligence in Medicine, volume 63, pages 171-179 (issn: 0933-3657,

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Authors: Jun Ye 0001;

doi: 10.1016/j.artmed.2014.12.007 , 10.5281/zenodo.1041523 , 10.5281/zenodo.1041522 , 10.5281/zenodo.34830 , 10.5281/zenodo.23132

pmid: 25704111

Improved cosine similarity measures of simplified neutrosophic sets for medical diagnoses

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Abstract

In pattern recognition and medical diagnosis, similarity measure is an important mathematicaltool. To overcome some disadvantages of existing cosine similarity measures of simplified neutrosophicsets (SNSs) in vector space, this paper proposed improved cosine similarity measures of SNSs based oncosine function, including single valued neutrosophic cosine similarity measures and interval neutro-sophic cosine similarity measures.

Related Organizations

Shaoxing University
China (People's Republic of)

Keywords

medical diagnosis, Models, Statistical, neutrosophic information, neutrosophic set, Decision Support Techniques, Pattern Recognition, Automated, Artificial Intelligence, neutrosophic set, Humans, ingle valued neutrosophic cosine similarity measures, cosine function

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