“…Hence, FSs cannot truly describe inconsistent information in such problems. In order to overcome this shortcoming, intu-itionistic fuzzy sets (IFSs) (Atanassov, 1986) and their extensions, which can be represented as membership and non-membership, have recently attracted scholars' attention, and have been extensively applied to MCDM problems as well (Liu & Wang, 2007;Xu, 2007;Wang & Liu, 2012;Wang, Han, & Zhang, 2014;Yu, J. Wang, & J. Q. Wang, 2018;Hu, Zhang, Yang, Liu, & Chen, 2018;Debnath, Bandyapadhyay, Roy, & Kar, 2018;Chatterjee & Kar, 2018a, 2018b. In particular, entropy, cross-entropy and similarity measures for IFSs have been utilized to deal with MCDM problems in an uncertain environment (Li & Cheng, 2002;Yang, Gong, Wang, & An, 2014;Mishra, Jain, & Hooda, 2017;Joshi, Kumar, Gupta, & Kaur, 2017;Ngan, Son, Cuong, & Ali, 2018;Shen, Li, & Wang, 2019).…”