An AI-based e-commerce trading in ecological industry using sustainable development.

Sustainable development requires social development and economic construction to be coordinated with the carrying capacity of the ecological environment. It necessitates adhering to the concept of sustainable development while pursuing economic development and social progress, improving the effective utilization rate of natural resources, and protecting and improving the ecological environment in which people live. This paper takes the e-commerce trade ecological industrial park in Dalian Economic Development Zone as an example to comprehensively evaluate its sustainable development ability using the state-of-the-art techniques of soft computing. Soft computing has recently gained appeal over traditional hard computing because it can cope with uncertainty just as easily as a human can. The basic aim of the study is to avoid excessive resource and environmental pressure hindering the coordinated development of various subsystems of the park. First, an evaluation index system containing four subsystem elements of the environment, society, economy, and resources was constructed, and the importance of each index in the evaluation index system was calculated. Second, the distance model and fuzzy logic of soft computing were used to comprehensively evaluate the sustainability of the selected industrial park. Six criteria were established to describe the sustainability of the industrial park based on the opinions of industry professionals, with references to the research findings of local and international forerunners. The finding of the paper shows that the development level index of each subsystem of the industrial park has continued to rise, except for a few cases. The result also demonstrates that the overall coordinated development degree of the park has increased year by year from 2010 to 2019. This means that the coordinated development level has improved from the initial barely coordinated level in 2010 to the high-quality coordinated development level in 2019; however, the overall coordinated development degree is still less than 0.9. Through this study, it is possible to judge the sustainable development ability of the four subsystems of the industrial park and whether it meets the relevant standards of resource consumption and environmental protection stipulated by the state. It is of great practical significance for promoting the formation of a good ecological chain between enterprises in the park, realizing resource recycling, and reducing waste discharge. [ABSTRACT FROM AUTHOR]