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

Key Points

• To explore how artificial intelligence can aid in the transformation of the low-carbon digital economy through fuzzy synthesis algorithms.
• Developed theoretical frameworks based on AI and fuzzy algorithms for low-carbon transitions.
• Utilized case studies to exemplify the application of these frameworks in various sectors.
• Analyzed the impact of digital transformation on sustainability indicators.
• Identified key areas where AI can significantly reduce carbon footprints in digital sectors.
• Demonstrated effective strategies for integrating fuzzy synthesis algorithms in economic models.
• Showed improvements in sustainability metrics, highlighting potential for broad adoption.

Abstract