Fusion: Practice and Applications FPA 2692-4048 2770-0070 10.54216/FPA https://www.americaspg.com/journals/show/2744 2018 2018 Regional Autonomous University of Los Andes, Riobamba, Ecuador Silva Silva Regional Autonomous University of Los Andes, Puyo, Ecuador Juan G. Sailema Armijos Regional Autonomous University of Los Andes, Ibarra, Ecuador Marco P. Villa Zura Tashkent state university of Economics, Tashkent, Uzbekistan Maha Ibrahim This article explores the application of the linguistic 2-tuple computational model in decision-making processes, focusing on its efficiency in managing ambiguous and imprecise linguistic information, which is vital in complex decision-making environments. The main objective is to demonstrate the use of the Weighted Power Mean (WPM) operator for hierarchical aggregation, highlighting its adaptability in reflecting the priority structures of specific problems and preserving the integrity of expert opinions. The model enhances user interaction by minimizing the need for complex numerical conversions, facilitating more intuitive decision-making. The study introduces the methodology of the linguistic 2-tuples, emphasizing their practical application in various decision-making contexts through detailed case studies. It elaborates on the hierarchical aggregation model, discussing the flexibility and potential of the WPM operator to adjust the influence of individual criteria based on their importance. The article also examines potential improvements in aggregation operators to increase their effectiveness and applicability across different scenarios. This comprehensive analysis not only underscores the capabilities of linguistic computational models in modern decision-making environments but also proposes future directions for advancing these techniques to handle increasingly complex information landscapes. 2024 2024 67 84 10.54216/FPA.160106 https://www.americaspg.com/articleinfo/3/show/2744