Balanced Scorecard-Based Project Priorities of Sustainable Energy Financing Via Artificial Intelligence-Enhanced Hybrid Quantum Decision-Making Modeling

Abstract

The most essential factors should be defined to increase the effectiveness of sustainable energy financing. Otherwise, businesses may face some financial and operational problems due to not using resources effectively. However, only a limited number of studies in the literature have identified these important factors. This situation shows a need for a new study to determine the variables that have the greatest impact on the effectiveness of sustainable energy financing. Thus, the purpose of this study is to identify significant determinants that affect the effectiveness of sustainable energy financing. For this situation, a 3-stage model is constructed to reach this purpose. The first stage prioritizes the experts with the help of artificial intelligence (AI). The second stage weights the assessment criteria of sustainable energy financing by quantum spherical fuzzy M-SWARA. Finally, the balanced scorecard-based project priorities of sustainable energy financing are ranked with quantum spherical fuzzy WASPAS.

Keywords

• sustainable energy
• energy finance
• balanced scorecard
• artificial intelligence
• fuzzy decision-making
• d25
• e44
• f36