Extended ELECTRE method for multi-criteria group decision-making with spherical cubic fuzzy sets

Due to the quick advancement of computer technology, the relevance of information has increased significantly for the banking sector. Protecting information security has consequently become a top priority for all banks. To solve this problem, a unique strategy is provided that extends an outranking technique named “ELiminating Et Choice Translating REality (ELECTRE)” in the context of a spherical cubic fuzzy (SCF) environment. The suggested SCF-ELECTRE-I technique employs concordance and discordance sets, as well as a directed decision graph to determine the optimal option. Accordingly, based on score and accuracy levels, three types of concordance and discordance sets are established, that is, weak, mid-range, and strong. Moreover, a multi-criteria group decision-making (MCGDM) strategy is proposed for evaluating online banking security concerns by integrating these sets as an application of our suggested method. Finally, a comparison is conducted with a few existing symmetrical approaches in order to confirm its validity and dependability.