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

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 environme...

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Main Authors: Yaqiong Zhang, Nan He, Yijing Li, Yiyang Chen, Lei Wang, Yunlong Ran
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2021/7027990
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author Yaqiong Zhang
Nan He
Yijing Li
Yiyang Chen
Lei Wang
Yunlong Ran
author_facet Yaqiong Zhang
Nan He
Yijing Li
Yiyang Chen
Lei Wang
Yunlong Ran
author_sort Yaqiong Zhang
collection DOAJ
description 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.
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series Discrete Dynamics in Nature and Society
spelling doaj-art-b33ca13c05934f26a446f823bf2e35c82025-08-20T03:39:19ZengWileyDiscrete Dynamics in Nature and Society1607-887X2021-01-01202110.1155/2021/7027990Risk Assessment of Water Environment Treatment PPP Projects Based on a Cloud ModelYaqiong Zhang0Nan He1Yijing Li2Yiyang Chen3Lei Wang4Yunlong Ran5School of Management and EconomicsSchool of Public ManagementSchool of Management and EconomicsUniversity of Chinese Academy of SciencesZhengzhou Railway Vocational and Technical CollegeHenan Water Valley Innovation Technology Research Institute Co., Ltd.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.http://dx.doi.org/10.1155/2021/7027990
spellingShingle Yaqiong Zhang
Nan He
Yijing Li
Yiyang Chen
Lei Wang
Yunlong Ran
Risk Assessment of Water Environment Treatment PPP Projects Based on a Cloud Model
Discrete Dynamics in Nature and Society
title Risk Assessment of Water Environment Treatment PPP Projects Based on a Cloud Model
title_full Risk Assessment of Water Environment Treatment PPP Projects Based on a Cloud Model
title_fullStr Risk Assessment of Water Environment Treatment PPP Projects Based on a Cloud Model
title_full_unstemmed Risk Assessment of Water Environment Treatment PPP Projects Based on a Cloud Model
title_short Risk Assessment of Water Environment Treatment PPP Projects Based on a Cloud Model
title_sort risk assessment of water environment treatment ppp projects based on a cloud model
url http://dx.doi.org/10.1155/2021/7027990
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