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Intuitionistic Fuzzy Entropy for Group Decision Making of Water Engineering Project Delivery System Selection
The project delivery mode is an extremely important link in the life cycle of water engineering. Many cases show that increases in the costs, construction period, and claims in the course of the implementation of water engineering are related to the decision of the project delivery mode in the early...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514445/ http://dx.doi.org/10.3390/e21111101 |
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author | Liu, Xun Qian, Fei Lin, Lingna Zhang, Kun Zhu, Lianbo |
author_facet | Liu, Xun Qian, Fei Lin, Lingna Zhang, Kun Zhu, Lianbo |
author_sort | Liu, Xun |
collection | PubMed |
description | The project delivery mode is an extremely important link in the life cycle of water engineering. Many cases show that increases in the costs, construction period, and claims in the course of the implementation of water engineering are related to the decision of the project delivery mode in the early stages. Therefore, it is particularly important to choose a delivery mode that matches the water engineering. On the basis of identifying the key factors that affect the decision on the project delivery system and establishing a set of index systems, a comprehensive decision of engineering transaction is essentially considered to be a fuzzy multi-attribute group decision. In this study, intuitionistic fuzzy entropy was used to determine the weight of the influencing factors on the engineering transaction mode; then, intuitionistic fuzzy entropy was used to determine the weight of decision experts. Thus, a comprehensive scheme-ranking model based on an intuitionistic fuzzy hybrid average (IFHA) operator and intuitionistic fuzzy weighted average (IFWA) operator was established. Finally, a practical case analysis of a hydropower station further demonstrated the feasibility, objectivity, and scientific nature of the decision model. |
format | Online Article Text |
id | pubmed-7514445 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75144452020-11-09 Intuitionistic Fuzzy Entropy for Group Decision Making of Water Engineering Project Delivery System Selection Liu, Xun Qian, Fei Lin, Lingna Zhang, Kun Zhu, Lianbo Entropy (Basel) Article The project delivery mode is an extremely important link in the life cycle of water engineering. Many cases show that increases in the costs, construction period, and claims in the course of the implementation of water engineering are related to the decision of the project delivery mode in the early stages. Therefore, it is particularly important to choose a delivery mode that matches the water engineering. On the basis of identifying the key factors that affect the decision on the project delivery system and establishing a set of index systems, a comprehensive decision of engineering transaction is essentially considered to be a fuzzy multi-attribute group decision. In this study, intuitionistic fuzzy entropy was used to determine the weight of the influencing factors on the engineering transaction mode; then, intuitionistic fuzzy entropy was used to determine the weight of decision experts. Thus, a comprehensive scheme-ranking model based on an intuitionistic fuzzy hybrid average (IFHA) operator and intuitionistic fuzzy weighted average (IFWA) operator was established. Finally, a practical case analysis of a hydropower station further demonstrated the feasibility, objectivity, and scientific nature of the decision model. MDPI 2019-11-11 /pmc/articles/PMC7514445/ http://dx.doi.org/10.3390/e21111101 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liu, Xun Qian, Fei Lin, Lingna Zhang, Kun Zhu, Lianbo Intuitionistic Fuzzy Entropy for Group Decision Making of Water Engineering Project Delivery System Selection |
title | Intuitionistic Fuzzy Entropy for Group Decision Making of Water Engineering Project Delivery System Selection |
title_full | Intuitionistic Fuzzy Entropy for Group Decision Making of Water Engineering Project Delivery System Selection |
title_fullStr | Intuitionistic Fuzzy Entropy for Group Decision Making of Water Engineering Project Delivery System Selection |
title_full_unstemmed | Intuitionistic Fuzzy Entropy for Group Decision Making of Water Engineering Project Delivery System Selection |
title_short | Intuitionistic Fuzzy Entropy for Group Decision Making of Water Engineering Project Delivery System Selection |
title_sort | intuitionistic fuzzy entropy for group decision making of water engineering project delivery system selection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514445/ http://dx.doi.org/10.3390/e21111101 |
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