“…Later, Atanassov and Gargov introduced interval-valued IFSs (IVIFSs), in which membership functions and non-membership functions are subintervals of a unit interval [0, 1] (Atanassov and Gargov, 1989). Similar to fuzzy sets, IFSs have wide applications in processing uncertain data for various purposes, such as decision-making, medical diagnoses, and agriculture (Szmidt and Kacprzyk, 1996;Xu, 2010;Papakostas et al, 2013;Shidpour et al, 2013;Bharati and Singh, 2014;Li and Zeng, 2015;Liu et al, 2016;Xuan Thao, 2018;Thao and Duong, 2019;Joshi, 2020;Garg and Kumar, 2020;Xue & Deng, 2020;. Along with distance and correlation measures, similarity measures of IFSs have been studied and widely used in many fields, such as decision-making, machine learning, and pattern recognition (Li and Cheng, 2002;Szmidt Kacprzyk, 2004;Xu, 2007;Ye, 2011;Hwang et al, 2012;Park et al, 2013;Rajarajeswari andUma, 2013 Shi andYe, 2013;Tian, 2013;Song et al, 2015;J.…”