Machine Learning-Enhanced Fuzzy AHP-TOPSIS Methodology for Renewable Energy Prioritisation: an Application

Key Points

• This research aims to enhance prioritization methods for renewable energy sources using machine learning techniques.
• Application of fuzzy AHP and TOPSIS methodologies for prioritization.
• Integration of machine learning algorithms to improve accuracy.
• Evaluation of various renewable energy options based on set criteria.
• Increased accuracy in ranking renewable energy sources compared to traditional methods.
• Improved decision-making processes with quantifiable metrics.