Applications of fuzzy multiple criteria decision making methods in civil engineering: a state-of-the-art survey
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.
Keyword : civil engineering, multiple criteria decision making, fuzzy set, fuzzy multiple criteria decision making, literature review
How to Cite
Wen, Z., Liao, H., Zavadskas, E. K., & Antuchevičienė, J. (2021). Applications of fuzzy multiple criteria decision making methods in civil engineering: a state-of-the-art survey. Journal of Civil Engineering and Management, 27(6), 358-371. https://doi.org/10.3846/jcem.2021.15252
This work is licensed under a Creative Commons Attribution 4.0 International License.
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Dahooie, J. H., Zavadskas, E. K., Abolhasani, M., Vanaki, A., & Turskis, Z. (2018). A novel approach for evaluation of projects using an interval-valued fuzzy additive ratio assessment (ARAS) method: A case study of oil and gas well drilling projects. Symmetry, 10(2), 45. https://doi.org/10.3390/sym10020045
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Ebrahiminejad, M., Shakeri, E., Ardeshir, A., & Zarandi, M. (2018). An object-oriented model for construction method selection in buildings using fuzzy information. Energy and Buildings, 178, 228–241. https://doi.org/10.1016/j.enbuild.2018.08.002
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Hafezalkotob, A., Hafezalkotob, A., Liao, H. C., & Herrera, F. (2020). Interval MULTIMOORA method integrating interval Borda rule and interval best-worst-method-based weighting model: Case study on hybrid vehicle engine selection. IEEE Transactions on Cybernetics, 50(3), 1157–1169. https://doi.org/10.1109/TCYB.2018.2889730
Hatefi, S. M., & Tamošaitienė, J. (2019). An integrated fuzzy DEMATEL-fuzzy ANP model for evaluating construction projects by considering interrelationships among risk factors. Journal of Civil Engineering and Management, 25(2), 114–131. https://doi.org/10.3846/jcem.2019.8280
Hocine, A., Zhuang, Z. Y., Kouaissah, N., & Li, D. C. (2020). Weighted-additive fuzzy multi-choice goal programming (WA-FMCGP) for supporting renewable energy site selection decisions. European Journal of Operational Research, 285(2), 642–654. https://doi.org/10.1016/j.ejor.2020.02.009
Hosseini, S. T., Lale Arefi, S., Bitarafan, M., Abazarlou, S., & Zavadskas, E. K. (2016). Evaluation types of exterior walls to reconstruct Iran earthquake areas (Ahar Heris Varzeqan) by using AHP and fuzzy methods. International Journal of Strategic Property Management, 20(3), 328–340. https://doi.org/10.3846/1648715x.2016.1190794
Huang, M., Zhang, X. L., Ren, R. X., Liao, H. C., Zavadskas, E. K., & Antuchevičienė, J. (2020). Energy-saving building program evaluation with an integrated method under linguistic environment. Journal of Civil Engineering and Management, 26(5), 447–458. https://doi.org/10.3846/jcem.2020.12647
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