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Open AccessArticle

Intuitionistic Fuzzy Entropy for Group Decision Making of Water Engineering Project Delivery System Selection

1
School of Civil Engineering, Suzhou University of Science and Technology, Suzhou 215000, China
2
Institute of Engineering Management, Hohai University, Nanjing 211100, China
*
Author to whom correspondence should be addressed.
Entropy 2019, 21(11), 1101; https://doi.org/10.3390/e21111101
Received: 14 October 2019 / Revised: 5 November 2019 / Accepted: 7 November 2019 / Published: 11 November 2019
(This article belongs to the Special Issue Entropy Applications in Environmental and Water Engineering II)
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. View Full-Text
Keywords: water engineering; project delivery system; intuitionistic fuzzy entropy; group decision making water engineering; project delivery system; intuitionistic fuzzy entropy; group decision making
MDPI and ACS Style

Liu, X.; Qian, F.; Lin, L.; Zhang, K.; Zhu, L. Intuitionistic Fuzzy Entropy for Group Decision Making of Water Engineering Project Delivery System Selection. Entropy 2019, 21, 1101.

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