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

• Published in: Cluster computing Vol. 22; no. Suppl 2; pp. 3431 - 3444
• Main Authors: Chen, Yanyu, Chai, Huaqi, Huang, Yimiao
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.03.2019; Springer Nature B.V
• Subjects: Computer Communication Networks; Computer Science; Construction; Indicators; Neural networks; Operating Systems; Planning; Processor Architectures; Risk assessment; Sustainable development; China; Triangular fuzzy analytic hierarchy process; Fuzzy comprehensive evaluation method; State-level new area
• ISSN: 1386-7857; 1573-7543
• DOI: 10.1007/s10586-018-2190-3

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.