Choosing the Best Private-Sector Partner According to the Risk Factors in Neutrosophic Environment

Public-Private Partnership (PPP) refers to a partnership between a government and a private sector to provide public infrastructure projects, services, etc. These projects have been associated with numerous problems, many of which failed. A critical issue in PPP projects is choosing the right privat...

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Main Authors: Seyed Farhad Saberhoseini, Seyyed Ahmad Edalatpanah, Ali Sorourkhah
Format: Article
Language:English
Published: REA Press 2022-06-01
Series:Big Data and Computing Visions
Subjects:
Online Access:https://www.bidacv.com/article_150242_700fdc6b7fd863df4b184d806443b959.pdf
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author Seyed Farhad Saberhoseini
Seyyed Ahmad Edalatpanah
Ali Sorourkhah
author_facet Seyed Farhad Saberhoseini
Seyyed Ahmad Edalatpanah
Ali Sorourkhah
author_sort Seyed Farhad Saberhoseini
collection DOAJ
description Public-Private Partnership (PPP) refers to a partnership between a government and a private sector to provide public infrastructure projects, services, etc. These projects have been associated with numerous problems, many of which failed. A critical issue in PPP projects is choosing the right private-sector partner. Considering various criteria, the public sector has to select the best alternative concerning uncertainty. There needs to be a focus on well-structured, feasible decision approaches necessary to improve the performance of PPPs. In the MCDM context, the ratings of the alternatives provided by decision-makers can be expressed with the Fuzzy Set theory. Single-valued neutrosophic sets SVNSs are well suited for handling ambiguous, incomplete, and imprecise information. Moreover, some information measures for the SVNS model have been proposed, such as similarity measures. As selecting the suitable private-sector partner problem is an MCDM one, including various risk factors and uncertainty, this article has addressed choosing that by considering the risk factors as the problem criteria in a neutrosophic environment. We proposed a simple, practical approach to solve the problem of selecting the best private-sector partner. This approach considers the most critical risk factors affecting the infrastructure PPP project and copes with uncertainty using SVNSs.
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institution Kabale University
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language English
publishDate 2022-06-01
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series Big Data and Computing Visions
spelling doaj-art-4a27ce2efaad4a6e85ed48e0fb9a9f572025-01-30T12:21:49ZengREA PressBig Data and Computing Visions2783-49562821-014X2022-06-0122616810.22105/bdcv.2022.334005.1075150242Choosing the Best Private-Sector Partner According to the Risk Factors in Neutrosophic EnvironmentSeyed Farhad Saberhoseini0Seyyed Ahmad Edalatpanah1Ali Sorourkhah2Department of Civil Engineering, Ayandegan Institute of Higher Education, Tonekabon, Iran.Department of Applied Mathematics, Ayandegan Institute of Higher Education, Tonekabon, Iran.Department of Management, Ayandegan Institute of Higher Education, Tonekabon, Iran.Public-Private Partnership (PPP) refers to a partnership between a government and a private sector to provide public infrastructure projects, services, etc. These projects have been associated with numerous problems, many of which failed. A critical issue in PPP projects is choosing the right private-sector partner. Considering various criteria, the public sector has to select the best alternative concerning uncertainty. There needs to be a focus on well-structured, feasible decision approaches necessary to improve the performance of PPPs. In the MCDM context, the ratings of the alternatives provided by decision-makers can be expressed with the Fuzzy Set theory. Single-valued neutrosophic sets SVNSs are well suited for handling ambiguous, incomplete, and imprecise information. Moreover, some information measures for the SVNS model have been proposed, such as similarity measures. As selecting the suitable private-sector partner problem is an MCDM one, including various risk factors and uncertainty, this article has addressed choosing that by considering the risk factors as the problem criteria in a neutrosophic environment. We proposed a simple, practical approach to solve the problem of selecting the best private-sector partner. This approach considers the most critical risk factors affecting the infrastructure PPP project and copes with uncertainty using SVNSs.https://www.bidacv.com/article_150242_700fdc6b7fd863df4b184d806443b959.pdfpublic-private partnershipneutrosophic setssvnsdecision-makingsimilarity measure
spellingShingle Seyed Farhad Saberhoseini
Seyyed Ahmad Edalatpanah
Ali Sorourkhah
Choosing the Best Private-Sector Partner According to the Risk Factors in Neutrosophic Environment
Big Data and Computing Visions
public-private partnership
neutrosophic sets
svns
decision-making
similarity measure
title Choosing the Best Private-Sector Partner According to the Risk Factors in Neutrosophic Environment
title_full Choosing the Best Private-Sector Partner According to the Risk Factors in Neutrosophic Environment
title_fullStr Choosing the Best Private-Sector Partner According to the Risk Factors in Neutrosophic Environment
title_full_unstemmed Choosing the Best Private-Sector Partner According to the Risk Factors in Neutrosophic Environment
title_short Choosing the Best Private-Sector Partner According to the Risk Factors in Neutrosophic Environment
title_sort choosing the best private sector partner according to the risk factors in neutrosophic environment
topic public-private partnership
neutrosophic sets
svns
decision-making
similarity measure
url https://www.bidacv.com/article_150242_700fdc6b7fd863df4b184d806443b959.pdf
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AT seyyedahmadedalatpanah choosingthebestprivatesectorpartneraccordingtotheriskfactorsinneutrosophicenvironment
AT alisorourkhah choosingthebestprivatesectorpartneraccordingtotheriskfactorsinneutrosophicenvironment