Abstract
In this paper, we review several existing similarity measures of intuitionistic fuzzy sets (IFS) and then some numerical examples are applied to show that some existing similarity measures may not always be effective and reasonable in some cases. We propose new similarity measures of IFS which are able to overcome several drawbacks of some existing measures. Several examples will show the comparison of the proposed similarity measures with some existing measures. We also present two propositions concerning the relationship between similarity and dissimilarity (distance) measures of IFS, and further propositions in regard to the fact that a suitable comb- ination of similarity measures may be a similarity measure.
