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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Autores principales:	Yaqiong Zhang, Nan He, Yijing Li, Yiyang Chen, Lei Wang, Yunlong Ran
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/b33ca13c05934f26a446f823bf2e35c8
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spelling	oai:doaj.org-article:b33ca13c05934f26a446f823bf2e35c82021-11-22T01:11:23ZRisk Assessment of Water Environment Treatment PPP Projects Based on a Cloud Model1607-887X10.1155/2021/7027990https://doaj.org/article/b33ca13c05934f26a446f823bf2e35c82021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/7027990https://doaj.org/toc/1607-887XRisk 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.Yaqiong ZhangNan HeYijing LiYiyang ChenLei WangYunlong RanHindawi LimitedarticleMathematicsQA1-939ENDiscrete Dynamics in Nature and Society, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Mathematics QA1-939
spellingShingle	Mathematics QA1-939 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
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.
format	article
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
title	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_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_sort	risk assessment of water environment treatment ppp projects based on a cloud model
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/b33ca13c05934f26a446f823bf2e35c8
work_keys_str_mv	AT yaqiongzhang riskassessmentofwaterenvironmenttreatmentpppprojectsbasedonacloudmodel AT nanhe riskassessmentofwaterenvironmenttreatmentpppprojectsbasedonacloudmodel AT yijingli riskassessmentofwaterenvironmenttreatmentpppprojectsbasedonacloudmodel AT yiyangchen riskassessmentofwaterenvironmenttreatmentpppprojectsbasedonacloudmodel AT leiwang riskassessmentofwaterenvironmenttreatmentpppprojectsbasedonacloudmodel AT yunlongran riskassessmentofwaterenvironmenttreatmentpppprojectsbasedonacloudmodel
_version_	1718418301316497408

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

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