A Quasirung Orthopair Fuzzy Hamy Mean-Based Decision Support Framework with Application to E-Learning Platform Selection

Key Points

• The decision support framework enhances selection efficiency by integrating quasirung orthopair fuzzy logic.
• Key evidence shows that this method significantly improves choices among various e-learning platforms.
• Development used a novel hamy mean approach and applied the framework in real-world e-learning scenarios.
• This approach suggests improved decision accuracy, although further testing on broader platforms is needed.