General Mathematics

   

Improved Cosine Similarity Measures of Simplified Neutrosophic Sets for Medical Diagnoses

Authors: Jun Ye

In pattern recognition and medical diagnosis, similarity measure is an important mathematical tool. To overcome some disadvantages of existing cosine similarity measures of simplified neutrosophic sets (SNSs) in vector space, this paper proposed improved cosine similarity measures of SNSs based on cosine function, including single valued neutrosophic cosine similarity measures and interval neutrosophic cosine similarity measures. Then, weighted cosine similarity measures of SNSs were introduced by taking into account the importance of each element. Further, a medical diagnosis method using the improved cosine similarity measures was proposed to solve medical diagnosis problems with simplified neutrosophic information.

Comments: 9 Pages.

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Submission history

[v1] 2018-03-22 09:33:52

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