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.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Chang PT, Huang LC, Lin HJ (2000) The fuzzy Delphi method via fuzzy statistics and membership function fitting and an application to the human resources. Fuzzy Sets Syst 112(3):511–520
Jiang Q (1995) Regional coordinated development: analysis and consideration of regional gap. Guizhou Soc Sci 2:7–14
Tong C, Zhang H, Mao C (2011) Coordinated development of regional economy: concept analysis, judgment criteria and evaluation methods. Econ Syst Reform 4:34–38
Chen X (2005) Research on China’s regional economic issues. Commercial Press, Beijing
Taheri SM (2003) Trends in Fuzzy Statistics. Austrian J Stat 3:176–185
Wang B, Fang L (2004) Empirical analysis on the evaluation of coordination degree of regional economic development. J China Univ Geosci (Social Science Edition) 4(6):52–55
Cao H (2005) Evaluation and analysis of coordinated development of regional economy in Shandong Province. Econ Manag Rev 21(2):95–99
Buckley JJ (2005) Fuzzy statistics: hypothesis testing. Soft Comput 9(7):512–518
Yang C, Bruzzone L, Sun F et al (2010) A fuzzy-statistics-based affinity propagation technique for clustering in multispectral images. IEEE Trans Geosci Remote Sens 48(6):2647–2659
Ma Y, Chen S, Chen J et al (2011) Research on digital image denoising based on multi-image averaging method. Electron Test 6:1–3
Wang PZ (1983) From the fuzzy statistics to the falling random subsets. In: Wang PP (ed) Advances in fuzzy sets, possibility theory, and applications. Springer, New York, pp 81–96
Li M (2016) Operational research and application of flood meteorological statistical forecasting model for small and medium-sized rivers in southern Shaanxi. Disaster Sci 31(3):54–59
Buckley JJ (2005) Fuzzy statistics: regression and prediction. Soft Comput 9(10):769–775
Cheng R, Cheng H (2016) Research on the trend and characteristics of coordinated development of regional economy in China. Contemp Econ 12:87–88
Bo LI (2005) Coordinated development of regional economy and the balance of regional higher education. J Henan Normal Univ 32(1):171–174
Xiong J, Liu C, Yuan J (2006) Research progress of economic connection space of urban agglomerations abroad. World Geogr Res 15(1):63–70
Peng R (2009) New Explanation of coordinated development of regional economy. Acad Exch 3:101–105
Huang J, Li H (2015) Promotion for the coordinated development of regional economy in china under the “one-belt-and-one-road” strategy. Tax Res 6:22–30
Qiao PH, Wang C, Minyi LI (2012) The evaluation study of science and technology input and the coordinated development of regional economy. Sci Technol Manag Res 32(7):54–57
Yao FM (2009) On the influence of public fiscal expenditure competition over coordinated development of regional economy and its countermeasures. J Guangdong Univ Bus Stud 30(3):120–124
Leng ZM (2006) Policy research on coordinated development of regional economy of border area of Xiang, E, Yu and Qian. J Chongqing Inst Commer 15(1):15–18
Xiong-Lang HE, Yan H (2003) Adjustment of industrial structure and sustainable and coordinated development of regional economy. J Southwest Jiaotong Univ 5(1):48–52
Hou N, Sha QL, Guo HY (2013) A Study of specialties offered in vocational colleges and coordinated development of regional economy. J Wuxi Inst Commer 91(2):69–78
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
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
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00521-018-3953-8