Risk Assessment of Water Environment Treatment PPP Projects Based on a Cloud Model

Discrete dynamics in nature and society

Yunlong Ran¹  Yijing Li²  Yaqiong Zhang³  Nan He⁴  Yiyang Chen⁵  Lei Wang⁶ 

[1] Henan Water Valley Innovation Technology Research Institute Co., Ltd., Zhengzhou 450046, China;School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450045, China, ncwu.edu.cn;School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450045, China, ncwu.edu.cn;Zhengzhou Railway Vocational and Technical College, Zhengzhou 451460, China, zzrvtc.edu.cn;School of Public Management, North China University of Water Resources and Electric Power, Zhengzhou 450045, China, ncwu.edu.cn;University of Chinese Academy of Sciences, Beijing 100049, China, ucas.ac.cn;Zhengzhou Railway Vocational and Technical College, Zhengzhou 451460, China, zzrvtc.edu.cn;

DOI  :  10.1155/2021/7027990

来源: Hindawi Publishing Corporation

【 摘 要 】

Risk assessment of public-private partnership projects has been recently acknowledged as a crucial issue in infrastructure projects. Objective assessment of risk status is conducive to the establishment of scientific and reasonable management measures. The particularity of evaluating water environment treatment PPP projects means that random errors in the evaluation index and the threshold fuzziness of evaluation degrees are issues that require attention. This paper uses the Pythagorean fuzzy cloud model to process the randomness and fuzziness of the indicators. This study assessed the risks of an iconic water environment treatment PPP project inn mid-China. The risk ranks were evaluated in terms of five dimensions: political, economic, construction completion, operational, and ecological. Moreover, the results of the evaluation were compared with results derived using a regular cloud model. It was found that the Pythagorean fuzzy cloud model produced results consistent with the regular method, while also having the advantage of reflecting the randomness and fuzziness of the evaluation indicators. According to the evaluation data in this case, the project risks were ranked as follows: political > construction completion > operational > ecological > economic. The overall project risk was medium. This study’s results could provide technical support for water treatment PPP project risk assessment, indicator measurement, and statistical error control.

【 授权许可】

Unknown