Abstract
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.
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Ghous Ali involved in methodology and writing—original draft; Muhammad Nabeel involved in conceptualization and writing—original draft; Adeel Farooq involved in writing—review and editing.
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Ali, G., Nabeel, M. & Farooq, A. Extended ELECTRE method for multi-criteria group decision-making with spherical cubic fuzzy sets. Knowl Inf Syst 66, 6269–6306 (2024). https://doi.org/10.1007/s10115-024-02132-4
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DOI: https://doi.org/10.1007/s10115-024-02132-4