SCENARIO ANALYSIS OF LOW CARBON ENTERPRISES IN SICHUAN PROVINCE BASED ON NATURAL LANGUAGE PROCESSING HIERARCHICAL DYNAMIC MODEL
DOI:
https://doi.org/10.52292/j.laar.2018.234Keywords:
low-carbon enterprises, analytic hierarchy process, system dynamicsAbstract
Low carbon economy has gradually become a hot topic in all walks of life. In order to analyze the development trend of low-carbon enterprises in Sichuan Province, this paper first uses the principle of system dynamics, combined with economics and mathematical statistics. And all of that has been realized according to the method of cognitive calculation, comprehensive analysis and processing of data, adopting a large-scale sampling survey, screening samples, and using natural language processing model. It deals with an analysis of the results to meet the development needs of low carbon enterprises in Sichuan province. Aiming to analyze the development capability of low carbon enterprises in Sichuan Province, the computer simulation model of Vensim PLE, a special simulation software for system dynamics, was established. In order to analyze the development trend of Sichuan low-carbon enterprises more effectively, this paper also uses the AHP method of qualitative analysis and quantitative analysis to evaluate the development ability of Sichuan low-carbon enterprises. By comparing the simulation results, the good application prospect of system dynamics in scenario analysis of low carbon enterprises is verified.
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