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Regional economic development coordination management system based on fuzzy hierarchical statistical model

  • Machine Learning - Applications & Techniques in Cyber Intelligence
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Abstract

In view of the problems existing in the evaluation index selection and whether the evaluation method is too simple to evaluate the coordinated development of regional economy. Based on the comprehensive analysis of the definition of the coordinated development of regional economy, this paper discusses the definition of the scientific connotation of the coordinated development of regional economy and puts forward three evaluation indexes for coordinated development of regional economy (the degree of regional economic integration, the degree of regional economic development gap, and the speed of regional economic development). In view of the diversity of evaluation factors and the fuzziness of the relationship between evaluation indexes, this paper uses the fuzzy classification statistical model to evaluate the coordinated development of regional economy and established a regional economic development coordination management system based on fuzzy hierarchical statistical model to evaluate the degree of regional economic coordinated development. Finally, the eastern region and the central and western regions are taken as the object of study. The analysis results show that the conclusion drawn from the model is basically consistent with the actual situation in China. This model can effectively manage the coordinated development of regional economy in China.

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Authors and Affiliations

  1. School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing, China

    Yunfu Xu

  2. School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China

    Aiya Li

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  1. Yunfu Xu
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  2. Aiya Li
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Correspondence to Yunfu Xu.

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Xu, Y., Li, A. Regional economic development coordination management system based on fuzzy hierarchical statistical model. Neural Comput & Applic 31, 8305–8315 (2019). https://doi.org/10.1007/s00521-018-3953-8

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  • DOI: https://doi.org/10.1007/s00521-018-3953-8

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