Dissimilarity measure between intuitionistic Fuzzy sets and its applications in pattern recognition and clustering analysis

Abstract In this study, in order to prevent information loss, we propose two dissimilarity measures between intuitionistic fuzzy sets ( IFSs ), which consider membership and non-membership degree is farther extension of Fuzzy FSs ). Additionally, have examined the characteristics proposed metrics confirm their validity. We then conducted a series experiments, including numerical experimentation, pattern recognition, clustering analysis, evaluate efficacy these metrics. The comparative outcomes illustrate that our are more straightforward, easy understand, superior majority existing methods.