Abstract
Similarity measures play an important role in pattern recognition and medical diagnosis, and then existing medical diagnosis methods deal scarcely with the multi-period medical diagnosis problems with neutrosophic information. Hence, this paper proposed similarity measures between single-valued neutrosophic sets (SVNSs) based on tangent function and weighted similarity measures of SVNSs considering the importance of each element.
Published Version
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