Abstract
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.
Highlights
With the development of the construction industry in the national economy, problems such as a complicated external environment, low project profits, and fierce competition have attracted the attention of researchers as well as people working in the construction industry
The Pythagorean fuzzy weighted Muirhead mean (PFWMM) operator used in the proposed method can capture the interrelationship, and the ranking orders change with the parameter in the PFWMM operator using the proposed method, though the optimal project delivery system (PDS) is constant
Several researchers have proposed aggregation operators with the Pythagorean fuzzy sets (PFSs) and applied them to deal with the PDS decision-making problems
Summary
With the development of the construction industry in the national economy, problems such as a complicated external environment, low project profits, and fierce competition have attracted the attention of researchers as well as people working in the construction industry. Based on multi-agent systems, Zhu et al [13] constructed a decision-making simulation model for the PDS selection They analyzed the influence of multiple factors impacting the PDS decision: the project attribute characteristics, the policy and market environment, the owner’s ability and preference, and the contractor technology capabilities. The main work of this paper includes three aspects: (1) The PFWMM operator is innovatively introduced to deal with PDS selection problems for the case of the relevance among all indicators affecting the PDS’s selection under a fuzzy environment. (3) A decision-making framework for PDS selection was constructed by the comprehensive use of the advantages of Pythagorean fuzzy sets (PFSs) and the PFWMM operator in dealing with related-indicators PDS decision-making problems.
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