Evaluation of Low-Carbon Economic Development Level Based on Fuzzy Synthesis Algorithm

In view of the limitations of traditional image recognition algorithms in the evaluation of low-carbon economic development level, a scheme for evaluating economic development level based on fuzzy synthesis algorithm was proposed. Firstly, the influencing factors is accurately located through the fuzzy identification theory, and the indicators is reasonably divided to reduce interference, and the fuzzy synthesis algorithm is used to construct the evaluation scheme of economic development level. Experimental results show that under certain evaluation criteria, the proposed scheme is superior to the traditional image recognition algorithm in terms of the evaluation accuracy of economic development level and the processing time of influencing factors, and has obvious advantages. The evaluation of economic development level plays an extremely important role in the low-carbon economy, which can accurately predict and optimize the growth characteristics and product generation of the low-carbon economy. However, traditional image recognition algorithms have certain limitations in solving developmental level simulation problems, especially when dealing with complex problems. In this paper, this paper proposes an economic development level evaluation scheme based on fuzzy synthesis algorithm to better solve this problem. In this scheme, the influencing factors is accurately located through the fuzzy identification theory, so as to determine the division of indicators, and the fuzzy synthesis algorithm is used to construct the scheme. Experimental results show that under certain evaluation criteria, the accuracy and speed of the scheme is significantly improved for different problems, and it has better performance. Therefore, the simulation scheme based on fuzzy synthesis algorithm can better solve the limitations of traditional image recognition algorithms and improve the accuracy and efficiency of simulation in the evaluation of low-carbon economic development level. © 2024 IEEE.