Nisha AshfaqCIIT/SP24-RMT-014/LHRDr. Atiq-ur-RehmanLHR TP 100752026-06-022025https://repository.cuilahore.edu.pk/123456789/3981This study presents a multi-attribute group decision-making (MAGDM) approach based on Yager’s prioritized model under the framework of p,q-quasirung orthopair fuzzy sets (p,q-QROFSs). The proposed method effectively handles uncertainty and vagueness in decision-making environments while considering the priority relationships among decision attributes. Aggregation operators are developed to combine experts’ evaluations expressed in p,q-quasirung orthopair fuzzy information. The Yager prioritized mechanism is incorporated to reflect the relative importance of attributes and decision-makers. The effectiveness and practicality of the proposed approach are demonstrated through a numerical example and comparative analysis. Results indicate that the method provides reliable and flexible decision support for complex group decision-making problems involving uncertain information.enDepartment of MathematicsSP24MathematicsPrioritized ModelMulti-Attribute Group Decision-Making UsingQuasirung Orthopair Fuzzy InformationDr. Atiq-ur-RehmanThesis