Enhancing multi-criteria decision-making in smart farming using (p, q)-rung orthopair fuzzy hypersoft sets and weighted aggregation operators

This study introduces the (p, q)-ROFHSS, a framework for managing indeterminate information in smart farming MCDM scenarios. By combining (p, q)-rung orthopair fuzzy sets with fuzzy hypersoft sets, the approach supports effective decision-making in uncertain environments. We extend weighted aggregation operators tailored for these sets, enhancing decision-making accuracy and robustness. A systematic MCDM technique is developed using these operators to identify optimal farming modes among smart farming alternatives. Comparative analyses demonstrate the proposed approach’s feasibility, superiority, and reliability in achieving improved decision outcomes.