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I am a PhD Candidate from North China University of Water Resources and Electric Power in 2019.
An appropriate project delivery system plays an essential role in sustainable construction project management. Due to the complexity of practical problems and the ambiguity of human thinking, selecting an appropriate project delivery system (PDS) is an enormous challenge for owners. This paper aims to develop a PDS selection method to deal with the related-indicators case by combining the advantages of Pythagorean fuzzy sets (PFSs) and Pythagorean fuzzy weighted Muirhead mean (PFWMM) operators. The contributions of this paper are as follows: (1) This study innovatively introduced the PFWMM operator to deal with PDS selection problems for the case of the relevance among all indicators affecting PDSs selection in a complex environment. (2) A new method of solving indicators’ weights was proposed to adapt to the related-indicators PDS selection problem, through investigating the differences between the ideal PDS and the alternative PDS under all indicators. (3) A decision-making framework for PDS selection was constructed by comprehensive use of the advantages of PFSs and the PFWMM operator in dealing with related-indicators PDS decision-making problems. An example of selecting a PDS is exhibited to illustrate the effectiveness and applicability of the proposed method.
Yongchao Cao; Huimin Li; Limin Su. Decision-Making for Project Delivery System with Related-Indicators Based on Pythagorean Fuzzy Weighted Muirhead Mean Operator. Information 2020, 11, 451 .
AMA StyleYongchao Cao, Huimin Li, Limin Su. Decision-Making for Project Delivery System with Related-Indicators Based on Pythagorean Fuzzy Weighted Muirhead Mean Operator. Information. 2020; 11 (9):451.
Chicago/Turabian StyleYongchao Cao; Huimin Li; Limin Su. 2020. "Decision-Making for Project Delivery System with Related-Indicators Based on Pythagorean Fuzzy Weighted Muirhead Mean Operator." Information 11, no. 9: 451.
Huimin Li; Limin Su; Yongchao Cao; Lelin Lv. A pythagorean fuzzy TOPSIS method based on similarity measure and its application to project delivery system selection. Journal of Intelligent & Fuzzy Systems 2019, 37, 7059 -7071.
AMA StyleHuimin Li, Limin Su, Yongchao Cao, Lelin Lv. A pythagorean fuzzy TOPSIS method based on similarity measure and its application to project delivery system selection. Journal of Intelligent & Fuzzy Systems. 2019; 37 (5):7059-7071.
Chicago/Turabian StyleHuimin Li; Limin Su; Yongchao Cao; Lelin Lv. 2019. "A pythagorean fuzzy TOPSIS method based on similarity measure and its application to project delivery system selection." Journal of Intelligent & Fuzzy Systems 37, no. 5: 7059-7071.
The rapid development of the economy in China resulted in increasingly serious water pollution problem. A lot of water pollution treatment projects have been launched to improve the water environment quality. Water pollution treatment is a complex and long-term task. Considering the concept of water pollution with fuzziness and the factors affecting the effect of water pollution treatment (EWPT), this study constructs a multi-dimensional dynamic fuzzy comprehensive monitoring model. The model considers the vague boundaries in the representation of water pollution and various factors affecting the treatment effect, such as monitoring time, monitoring index, and monitoring location. In detail, firstly, existing methods for evaluating the EWPT are analyzed and reviewed. Then a multi-dimensional dynamic model is developed for monitoring the EWPT. Finally, the Yueya Lake of Henan Province in China is taken as an example to demonstrate the effectiveness and practicability of the proposed method. From the analysis of the results, to maintain the cleanliness of the water, efforts should still be made to eliminate and completely block the pollutants on the shore in order to fundamentally solve the problem.
Huimin Li; Yongchao Cao; Limin Su. Multi-dimensional dynamic fuzzy monitoring model for the effect of water pollution treatment. Environmental Monitoring and Assessment 2019, 191, 352 .
AMA StyleHuimin Li, Yongchao Cao, Limin Su. Multi-dimensional dynamic fuzzy monitoring model for the effect of water pollution treatment. Environmental Monitoring and Assessment. 2019; 191 (6):352.
Chicago/Turabian StyleHuimin Li; Yongchao Cao; Limin Su. 2019. "Multi-dimensional dynamic fuzzy monitoring model for the effect of water pollution treatment." Environmental Monitoring and Assessment 191, no. 6: 352.