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: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2021/7027990 |
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| _version_ | 1849396462848311296 |
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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. |
| format | Article |
| id | doaj-art-b33ca13c05934f26a446f823bf2e35c8 |
| institution | Kabale University |
| issn | 1607-887X |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| 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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