Investigating the use of fuzzy systems in managing carbon emissions and sinks in rural areas

To get to carbon peaks and neutrality, it is essential to have a better idea of how area carbon pollution and a low-carbon economy work in time and place. From 2015 to 2022, Sichuan Province's carbon emissions were found by dividing them into four main categories: energy use, industry output, forest activity, and garbage release. They also observed at how it changed over time and found the primary sources of carbon pollution. The super-SBM-undesirable model checked how low-carbon efficient Sichuan Province and its 21 towns were. The most significant source of carbon pollution in the area was energy use, especially power plants and energy centres for factories.