New distance and similarity measures of single value neutrosophic sets with application in multi-criteria decision-making

mation measures of uncertainty information processing are of importance. Single value neutrosophic sets (SVNSs) provide us a 

exible mathematical framework to process uncertainty information. In this paper, we mainly consider the measures of SVNSs. The existing information measures mostly are constructed based on the two typical inclusion relations about single value neutrosopgic sets. However, there exist some practical problems that do not apply to the two typical inclusion relations. Therefore, there exists another inclusion relation which is called the type-3 inclusion relation about SVNSs.