Abstract
A variety of fuzzy multiple criteria decision making (MCDM) models have been proposed to solve complicated decision-making problems. Many applications have been achieved, especially in the field of civil engineering. To analyze the developments about the fuzzy MCDM methods and their applications in civil engineering in recent years and further explore the future research directions, this study conducts a state of the art survey in which 52 journal papers focusing on the applications of fuzzy MCDM models in civil engineering from 2016 to 2020 are reviewed. We respectively classify these articles according to research problems and research methods. Through the literature review, we get findings in terms of the most concerned decision-making problem, the most widely-used evaluation criterion and the most popular fuzzy MCDM model. Furthermore, we present four aspects of research challenges and corresponding future research directions in the field of civil engineering, which may be helpful for researchers and practitioners to further investigate.
Highlights
Civil engineering is a general name of science and technology for building all kinds of land engineering facilities
The decisionmaking problems involved in civil engineering are usually complex, and hybrid fuzzy multiple criteria decision making (MCDM) models are more suitable for solving such problems than individual fuzzy MCDM models, because the hybrid models are the synthesis of multiple individual models, and the accuracy of the decision results obtained by the hybrid fuzzy MCDM models are higher than those derived from the individual fuzzy MCDM models to a certain extent
We classified the literature according to the decision problems in civil engineering and extracted the criteria related to these decision problems
Summary
Civil engineering is a general name of science and technology for building all kinds of land engineering facilities. Osei-Kyei and Chan (2017) estimated the success levels of public-private partnership projects and the estimation criteria include cost and technical specifications, profit, effective risk management, reliable and quality service operations, reduced litigations and disputes, environmental performance, and local economic development. Personnel selection: Afshari (2017) selected construction project manager with respect to the criteria including past experience, education, communication skills, computer skills, time management skills, cost management skills, resource management skills, quality management skills, planning skills, organizing skills, controlling skills, problem solving, decision making, and team development. Martin et al (2017) selected the optimal construction project delivery way, and the considered criteria are cost, schedule, quality, complexity, scope change, experience, value engineering, financial guarantee, risk management, uniqueness, external approval, project size, and culture. Based on the number of decision methods used, these models are divided into individual fuzzy MCDM models and hybrid fuzzy MCDM models
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