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Evaluation Method of Enterprise Circular Economy Development Level Based on AHP Fuzzy Inference

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Multimedia Technology and Enhanced Learning (ICMTEL 2023)

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.

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Correspondence to Aiqing Wang .

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© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wang, A., Gao, J. (2024). Evaluation Method of Enterprise Circular Economy Development Level Based on AHP Fuzzy Inference. In: Wang, B., Hu, Z., Jiang, X., Zhang, YD. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 534. Springer, Cham. https://doi.org/10.1007/978-3-031-50577-5_26

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  • DOI: https://doi.org/10.1007/978-3-031-50577-5_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-50576-8

  • Online ISBN: 978-3-031-50577-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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