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Constructing the regional intelligent economic decision support system based on fuzzy C-mean clustering algorithm

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Abstract

In order to help decision-making departments to know the information of regional economic development in time, the economic prediction and early warning model and economic policy simulation model of the decision-making system are constructed by analyzing the influencing factors of regional economy and taking the fuzzy C-means clustering as the main algorithm. Based on the data in the statistical yearbook, the corresponding module functions of the system are completed. Then, the system is applied to predict the recent economic development indicators. The results show that the forecasting data and the real data of the indicators are on the same level as a whole. When the growth rate of foreign trade export, fixed assets investment, fiscal expenditure and total retail sales of social consumer goods are increased by 1 percentage point, respectively, the GDP growth rate will increase by 0.105, 0.113, 0.134, 0.087 and 0.075 percentage points. The research suggests that the support system basically meets the requirements, can achieve the purpose of prediction, and has certain practicability.

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References

  • Ahmad S, Simonovic SP (2006) An intelligent decision support system for management of floods. Water Resour Manag 20(3):391–410

    Article  Google Scholar 

  • Allen PG, Morzuch BJ (2006) Twenty-five years of progress, problems, and conflicting evidence in econometric forecasting. What about the next 25 years? Int J Forecast 22(3):475–492

    Article  Google Scholar 

  • Ghodsypour SH, O’Brien C (1998) A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming. Int J Prod Econ 56–57(1–4):199–212

    Article  Google Scholar 

  • Hernes M, Sobieska-Karpińska J (2016) Application of the consensus method in a multiagent financial decision support system. Inf Syst e-Bus Manag 14(1):167–185

    Article  Google Scholar 

  • Javid J, Mohammad F (2016) Hybrid electromagnetism-like algorithm for dynamic supply chain network design under traffic congestion and uncertainty. Math Probl Eng 2016:1–18

    Google Scholar 

  • Keen PGW (1985) Computers and managerial choice. Organ Dyn 14(2):35–49

    Article  Google Scholar 

  • Kesemen O, Tezel Ö, Özkul E (2016) Fuzzy c-means clustering algorithm for directional data (FCM4DD). Exp Syst Appl 58(C):76–82

    Article  Google Scholar 

  • Lin CW, Yang L, Fournier-Viger P et al (2017) A binary PSO approach to mine high-utility itemsets. Soft Comput 21(17):5103–5121

    Article  Google Scholar 

  • Liu L, Sun SZ, Yu H et al (2016) A modified fuzzy C-means clustering algorithm and its application on carbonate fluid identification. J Appl Geophys 129:28–35

    Article  Google Scholar 

  • Macqueen J, Redheffer RM (1965) Some applications of monotone operators in Markov processes. Ann Math Stat 36(5):1421–1425

    Article  MathSciNet  MATH  Google Scholar 

  • Maihami R, Karimi B (2017) Effect of two-echelon trade credit on pricing-inventory policy of non-instantaneous deteriorating products with probabilistic demand and deterioration functions. Ann Oper Res 257(1):1–37

    Article  MathSciNet  MATH  Google Scholar 

  • Markin MV (2018) On the Carleman classes of vectors of a scalar type spectral operator. Int J Math Math Sci 2004(60):3219–3235

    Article  MathSciNet  MATH  Google Scholar 

  • Pai PF, Chen LC, Lin KP (2016) A hybrid data mining model in analyzing corporate social responsibility. Neural Comput Appl 27(3):749–760

    Article  Google Scholar 

  • Pradhananga R, Taniguchi E, Yamada T et al (2016) Risk of traffic incident delay in routing and scheduling of hazardous materials. Int J Intell Transp Syst Res 14(1):50–63

    Google Scholar 

  • Rama D, Andrews JD (2016) Railway infrastructure asset management: the whole-system life cost analysis. IET Intell Transp Syst 10(1):58–64

    Article  Google Scholar 

  • Roni MS, Eksioglu SD, Cafferty KG et al (2016) A multi-objective, hub-and-spoke model to design and manage biofuel supply chains. Ann Oper Res 249(1–2):1–30

    MathSciNet  MATH  Google Scholar 

  • Vagin VN, Morosin OL, Fomina MV (2016) Inductive inference and argumentation methods in modern intelligent decision support systems. J Comput Syst Sci Int 55(1):79–95

    Article  MATH  Google Scholar 

  • Wojtkowski M, Srinivasan V, Ko T et al (2004) Ultrahigh-resolution, high-speed, Fourier domain optical coherence tomography and methods for dispersion compensation. Opt Exp 12(11):2404–2422

    Article  Google Scholar 

  • Xiao M, Xiao Z, Wen Z et al (2017) Improved FCM clustering algorithm based on spatial correlation and membership smoothing. J Electron Inf Technol 39(5):1123–1129

    Google Scholar 

  • Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353

    Article  MATH  Google Scholar 

  • Zhang T, Chen L, Chen CLP (2016) Clustering algorithm based on spatial shadowed fuzzy C-means and I-Ching operators. Int J Fuzzy Syst 18(4):609–617

    Article  MathSciNet  Google Scholar 

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Authors and Affiliations

  1. School of Business, Macau University of Science and Technology, Macau, 999078, China

    Jia Wang

  2. Institute of Finance and Economics, Shanghai University of Finance and Economics, Shanghai, 200433, China

    Chuangang Yu

  3. Institute of Finance and Economics Research, Central University of Finance and Economics, Beijing, 100081, China

    Juying Zhang

Authors
  1. Jia Wang
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  2. Chuangang Yu
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  3. Juying Zhang
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Correspondence to Juying Zhang.

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Communicated by Mu-Yen Chen.

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Wang, J., Yu, C. & Zhang, J. Constructing the regional intelligent economic decision support system based on fuzzy C-mean clustering algorithm. Soft Comput 24, 7989–7997 (2020). https://doi.org/10.1007/s00500-019-04091-3

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  • DOI: https://doi.org/10.1007/s00500-019-04091-3

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