Research Article
Evaluation Method of Enterprise Circular Economy Development Level Based on AHP Fuzzy Inference
@INPROCEEDINGS{10.1007/978-3-031-50577-5_26, author={Aiqing Wang and Jie Gao}, title={Evaluation Method of Enterprise Circular Economy Development Level Based on AHP Fuzzy Inference}, proceedings={Multimedia Technology and Enhanced Learning. 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part III}, proceedings_a={ICMTEL PART 3}, year={2024}, month={2}, keywords={Enterprise Economy Assessment of Economic Development Level Circular Economy Ahp Fuzzy Inference Evaluation Indicators}, doi={10.1007/978-3-031-50577-5_26} }- Aiqing Wang
Jie Gao
Year: 2024
Evaluation Method of Enterprise Circular Economy Development Level Based on AHP Fuzzy Inference
ICMTEL PART 3
Springer
DOI: 10.1007/978-3-031-50577-5_26
Abstract
Circular economy is the key to achieving sustainable development. The development level of circular economy at the enterprise level in China is relatively low, which needs to be improved and improved as soon as possible. A study on the evaluation method of enterprise circular economy development level based on AHP fuzzy inference is proposed to provide a basis for enterprise development. To deeply explore the content of circular economy of enterprises, determine the development mode of circular economy of enterprises, preliminarily select the evaluation indicators for the development level of circular economy, use the regularization transformation scheme to process the evaluation indicators, calculate the correlation coefficient between the evaluation indicators, and on this basis, screen out the principal component indicators, build the evaluation indicator system for the development level of circular economy, and introduce AHP fuzzy inference algorithm to determine the weight value of the evaluation indicators, Fuzzy inference of circular economy development level evaluation results enables accurate evaluation of circular economy development level of enterprises. The experimental results show that the maximum accuracy rate of the evaluation grade of the proposed method for the development level of circular economy is 96%, and the minimum error of the evaluation value is 2%−8%, which fully confirms that the proposed method has a better evaluation effect.
