Businesses should make an examination to find the critical actions to make crypto assets environmentally friendly. This situation can help crypto assets to be environmentally friendly while keeping costs within a reasonable range. Accordingly, in this study, it is aimed to find the most essential innovation and knowledge-based criteria for the improvement of the green crypto assets. Within this context, a new model is generated by integrating different techniques. DEMATEL approach is adopted to facing expressions, quantum theory and Spherical fuzzy sets. Similarly, a comparative evaluation is also performed by using M-SWARA methodology. In the final part of the decision-making model, artificial intelligence (AI)-based decision-making approach is taken into consideration to rank 4 alternative strategies with respect to the green crypto asset investments. Additionally, a comparative examination is also made with TOPSIS technique for ranking these alternatives. On the other side, a sensitivity analysis is conducted by considering 6 different cases. The main contribution of this study to the literature is that a novel AI-based decision-making model is constructed to find appropriate investment strategies for the improvement of the green crypto assets. AI technique is integrated to the fuzzy decision-making theory. This situation has an important impact on the management of the uncertainty in an effective way. With the help of this issue, both methodological originality can be increased and more appropriate evaluations can be conducted. The findings indicate that technical support plays the most crucial role for the improvement of green crypto assets. Hence, for the purpose of making crypto assets environmentally friendly, it is necessary to invest in technology first. Owing to this situation, it will be possible to achieve cost-effectiveness of clean energy projects.