Akademik Veri Yönetim Sistemi
Environment, Development and Sustainability, 2025 (SCI-Expanded, Scopus)
Carbon capture technology (CCT) is one of the solution suggestions to manage carbon emission problem more effectively. However, since each improvement increases costs, businesses must prioritize the most impactful strategies. Therefore, a comprehensive prioritization process is essential to maximize the effectiveness of these investments. This paper aims to evaluate key determinants of CCT investment performance via a new model. Selected factors are weighted by using artificial intelligence (AI)-based sine trigonometric fuzzy (STF) TOP-DEMATEL. Next, the G7 is ranked by considering AI-based STF RATGOS. Additionally, a comparative evaluation is also conducted for emerging seven countries. The basic contribution of the paper is the integration of AI and fuzzy decision-making (FDM) approach in the proposed model. Therefore, it is possible to make a more realistic evaluation. The findings indicate that financial issues and legal regulations play a key role to improve CCT investments. The financial sector should be developed. This enables investors to access innovative financial resources easily and at more reasonable costs. Furthermore, legal regulations are essential in ensuring the environmental compatibility of projects. With the help of these regulations, negative environmental impacts that may occur during the implementation of projects can be controlled.