Article: Research on the development of low-carbon digital economy transformation based on artificial intelligence and fuzzy synthesis algorithm Journal: International Journal of Environment and Pollution (IJEP) 2026 Vol.76 No.8 pp.82 - 108 Abstract: Due to low-carbon and digital transformation (LCDT), the economic and social system is expected to undergo significant changes in the coming decades, which will have a significant impact on employment. Artificial intelligence (AI) has been proven to significantly reduce the frequency of carbon dioxide emissions in small, medium-sized, and less advanced cities by optimising economic processes, improving the efficiency of transportation networks, and predicting and preventing emissions. This paper proposes an artificial intelligence assisted fuzzy synthesis algorithm to achieve the development of low-carbon digital transformation (AI-FSA-LCDT). This paper conducted experimental research on the relationship between digital economy expansion and low-carbon emissions using intelligent multi criteria algorithms. The results indicated that developing a digital economy may significantly reduce the carbon reduction intensity of the region and its neighboring countries. Therefore, it is crucial to promote the construction process of the digital economy as a development strategy in a low-carbon environment. Inderscience Publishers - linking academia, business and industry through research

Title: Research on the development of low-carbon digital economy transformation based on artificial intelligence and fuzzy synthesis algorithm

Authors: Yong Zhang; Hailing Jiang; Yun Liu; Yusri Kamin

Addresses: Faculty of Economics and Management, Jiaying University, Meizhou, 514015, Guangdong, China ' School of Marxism, Zhongkai University of Agricultural and Engineering, Guangzhou, 510225, Guangdong, China ' Faculty of Economics and Management, Jiaying University, Meizhou, 514015, Guangdong, China ' Faculty of Educational Sciences and Technology, Universiti Teknologi Malaysia, Johor, 81310, Malaysia

Abstract: Due to low-carbon and digital transformation (LCDT), the economic and social system is expected to undergo significant changes in the coming decades, which will have a significant impact on employment. Artificial intelligence (AI) has been proven to significantly reduce the frequency of carbon dioxide emissions in small, medium-sized, and less advanced cities by optimising economic processes, improving the efficiency of transportation networks, and predicting and preventing emissions. This paper proposes an artificial intelligence assisted fuzzy synthesis algorithm to achieve the development of low-carbon digital transformation (AI-FSA-LCDT). This paper conducted experimental research on the relationship between digital economy expansion and low-carbon emissions using intelligent multi criteria algorithms. The results indicated that developing a digital economy may significantly reduce the carbon reduction intensity of the region and its neighboring countries. Therefore, it is crucial to promote the construction process of the digital economy as a development strategy in a low-carbon environment.

Keywords: digital transformation; artificial intelligence; CO₂ emission; fuzzy synthesis algorithm; low carbon economy; carbon reduction intensity.

DOI: 10.1504/IJEP.2026.156119

International Journal of Environment and Pollution, 2026 Vol.76 No.8, pp.82 - 108

Received: 13 Sep 2025
Accepted: 28 Jan 2026
Published online: 04 Sep 2026 *

Title: Research on the development of low-carbon digital economy transformation based on artificial intelligence and fuzzy synthesis algorithm

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