Advertisement

Research on risk assessment in the early development of state-level new areas based on the improved fuzzy comprehensive evaluation model

  • Yanyu Chen
  • Huaqi Chai
  • Yimiao Huang
Article
  • 38 Downloads

Abstract

The purpose of this study is to provide a scientific research and operation paradigm for the risk assessment in the early development of state-level new areas, in order to facilitate risk identification, assessment and management of national new districts especially Xiongan New Area. Finally, it constructs a national district risk index system including six risk factors and 23 risk indicators. It is found that the three factors with the highest comprehensive weight include the risk of the departure from the development, risk of sustainable development and green risk. The smallest risk is found in Shanghai Pudong New Area and Tianjin Binhai New Area, while the biggest risk is in the Shaanxi Xixian New Area and Gansu Lanzhou New Area. The fuzzy comprehensive evaluation model put forward in this paper overcomes the defects of the traditional fuzzy comprehensive evaluation model, fully considering the fuzziness and uncertainty of the evaluation indicators of risk under the background of big data, and also considering the fuzziness of human judgment. At the same time, it can expand the usage of the result information through the change of the maximum membership degree principle, so that it has broad application value.

Keywords

State-level new area Fuzzy comprehensive evaluation method Triangular fuzzy analytic hierarchy process 

References

  1. 1.
    Zeng, M., Chen, Y.J., Xian-Zhong, H.U., et al.: The risk assessment of China’s smart grid based on multi-level fuzzy comprehensive evaluation method. East China Electric Power 4, 536–538 (2011)Google Scholar
  2. 2.
    Wei, G., Zhang, X., Zhang, X.: Research on risk assessment and optimization control of information systems development: based on improved fuzzy comprehensive evaluation and dynamic programming algorithm. In: 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM), IEEE, 2010, pp. 1–5Google Scholar
  3. 3.
    Han, L., Song, Y., Duan, L., et al.: Risk assessment methodology for Shenyang Chemical Industrial Park based on fuzzy comprehensive evaluation. Environ. Earth Sci. 73(9), 5185–5192 (2015)CrossRefGoogle Scholar
  4. 4.
    Zheng-Jie, X.U., Zhang, Y.P., Hong-Sheng, S.U.: Application of risk assessment on fuzzy comprehensive evaluation method based on the cloud model. J. Saf. Environ. 4, 69–72 (2014)Google Scholar
  5. 5.
    Zhang, K.W.: Risk assessment of smart grid cyber security based on multi-level fuzzy comprehensive evaluation method. Adv. Mater. Res. 605–607, 2311–2317 (2013)Google Scholar
  6. 6.
    Zhou, R.F., Ling-Ling, G.E.: Research on hotel supply chain risk assessment based on fuzzy comprehensive evaluation method. Logist. Eng. Manag. 8, 32 (2014)Google Scholar
  7. 7.
    Xinyuan, J.: Credit risk assessment model of SMEs based on multi-level fuzzy comprehensive evaluation: a leather factory in Wenzhou as an example. Risti Iberian J. Inf. Syst. Technol. (2016)Google Scholar
  8. 8.
    Li, Y., Wang, W., Liu, B.X., et al.: Research on oil spill risk of port tank zone based on fuzzy comprehensive evaluation. Aquat. Proc. 3, 216–223 (2015)CrossRefGoogle Scholar
  9. 9.
    Xu, Y.G., Lv, P.: Research on the risk assessment of IPD mode based on the fuzzy comprehensive evaluation. Appl. Mech. Mater. 457–458, 1181–1184 (2014)Google Scholar
  10. 10.
    Yang, P., Wang, T.: EPC project risk assessment based on the improved fuzzy comprehensive evaluation algorithm. J. Converg. Inf. Technol. 8(5), 710–716 (2013)Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of ManagementNorthwestern Polytechnical UniversityXi’anChina
  2. 2.Zhejiang Traffic Technician CollegeJinhuaChina

Personalised recommendations