Selecting the most suitable modulation technique in communication systems is challenging due to multiple alternatives and inherent uncertainty. Existing approaches often fail to simultaneously capture uncertainty and criteria interdependencies, and provide a reliable ranking, highlighting a clear research gap. This study proposes a novel criteria importance through intercriteria correlation (CRITIC) measurement of alternatives and ranking according to compromise solution (MARCOS) framework under triangular (p,q)-fuzzy numbers (T(p,q)-FNs), extending the (p,q)-rung orthopair fuzzy number, to address this problem. The methodology introduces new operational laws and a weighted average aggregation operator based on Dombi t-norms to effectively aggregate fuzzy information. The CRITIC method is used for objective criteria weighting, while MARCOS ranks alternatives to identify the optimal modulation technique. The framework is validated through a communication modulation selection case study and compared with existing methods. The results demonstrate that the proposed approach provides more accurate, realistic, and flexible decision-making, clearly highlighting its novelty and practical advantages.