Improved cosine similarity measures of simplified neutrosophic setsfor medical diagnoses

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. Then, weighted cosine similarity measures of SNSs were introducedby taking into account the importance of each element. Further, a medical diagnosis method using theimproved cosine similarity measures was proposed to solve medical diagnosis problems with simplified neutrosophic information.