Affiliations: [a] College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China
| [b]
Jiangsu Wujiang High and New Technology Industrial Park (Shengze Town People ‘s Government), Suzhou, Jiangsu, China
Correspondence:
[*]
Corresponding author. Zhong Chen, Jiangsu Wujiang High and New Technology Industrial Park (Shengze Town People ‘s Government), Suzhou, Jiangsu, China. E-mail: [email protected].
Abstract: Artificial Intelligence based Fuzzy Importance Performance Analysis Model (AFIPA)With the transformation of economic system, migrant workers transfer employment from underdeveloped areas to economically developed areas, and children’s reading has become one of the important things for migrant workers and families. With the increase of children in the immigration area year by year, the pressure on education in the immigration area has gradually increased, which has become one of the social problems to be solved by the government in the immigration area. The speed of school construction cannot keep up with the growth of children, and because it takes up a lot of resources, funds and manpower, the government is not very enthusiasticin the immigration area. The stakeholders involved are always playing a game. How to achieve the best state is a difficult problem. After the central government’s policywereissuedabout solving the enrollment problem of migrant workers’children in school, local acceptance criteria for admitting migrant children to school were formulated. However, when lowering the admission threshold, all localities always look to other areas for fear of falling too low to become a basin of confluence, which cause an unbearable burden. In this paper fuzzy based analytic theory has been analysed Through the game analysis of various stakeholders, and taking Shengze Town, Jiangsu Province as an example, this paper puts forward some fuzzy policy suggestions, hoping to provide some new experience in promoting migrant children’s education in the future.
