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Cognitive radio networks emerge as a solution to fixed allocation and spectrum scarcity issues through the dynamic access of the spectrum. In cognitive networks, users must make intelligent decisions based on spectrum variation and actions taken by other users. Under this dynamic, cooperative systems can significantly improve quality of service parameters. This article presents the comparative study of the multi-criteria decision-making algorithms SAW and FFAHP exploring five levels ofdoi:10.11591/eei.v9i2.2025 fatcat:qmtiigpeabdrpnpjexci27udji