<p>Green technology innovation is considered a necessary path for achieving carbon reduction and sustainable development. Investment in green technology serves as the foundation for innovation, playing a crucial role in realizing net-zero emission goals. However, green technology investment is a high-cost and high-risk endeavor, posing short-term financial and risk management pressures on enterprise. Therefore, determining how to make green technology investment decisions has become a significant challenge for enterprise. To address this issue, this paper incorporates uncertainty and fuzziness, and proposes a decision-making method based on likelihood interval-valued intuitive fuzzy DNMEREC (Double normalization Method based on the Removal Effects of Criteria)–MULTIMOORA (Multi-Objective Optimization on the basis of Ratio Analysis plus full multiplicative form) to assist enterprise in making decisions regarding green technology investment strategies. In this method, we use interval-valued intuitionistic fuzzy numbers to capture the decision-maker’s uncertainty and fuzziness, applying the likelihood calculation approach for interval-valued intuitionistic fuzzy sets to facilitate information transformation. Furthermore, we improve the shortcomings of DNMEREC in the final weight aggregation process. Simultaneously, we introduce a consistency check process into the MULTIMOORA method to verify the consistency of the results obtained from the three independent ranking methods within this approach. To validate the proposed method, we applied it to a case study involving green technology investment in new energy vehicles. A discussion was conducted to evaluate the proposed approach. Moreover, the results indicate that the proposed method significantly enhances the effectiveness of weighting and results in a more comprehensive ranking.</p>