This paper introduces a novel approach to large-scale group decision-making, addressing the challenge of aggregating diverse expert opinions effectively. Integrating the Ranking Comparison (RANCOM) method into aggregation procedures minimizes the impact of individual inaccuracies on results. The study compares six aggregation techniques through simulation experiments and a practical case study on solar panel evaluation. Furthermore, it proposes a new fuzzy ranking-based approach to aggregate group results. The research underscores the significance of addressing inaccuracies in individual assessments and subtle differences in expert opinions. Key contributions include an enhanced method for aggregating expert opinions and a robust framework for large-scale group decision-making, improving the reliability of outcomes in complex multi-criteria scenarios.