Research on Green Construction Evaluation of Prefabricated Buildings Based on Grey Relational Analysis
- DOI
- 10.2991/978-94-6463-845-5_36How to use a DOI?
- Keywords
- Prefabricated buildings; Grey relational analysis; Fuzzy analytic hierarchy process; Green construction
- Abstract
In order to improve the level of green construction in prefabricated construction projects, this paper takes prefabricated buildings as the research object, combines the current domestic new standards for green construction, and related expert experience and standards, and proposes an evaluation index system for the green construction level of prefabricated building construction projects. The combination weighting method of triangular fuzzy numbers and analytic hierarchy process (AHP) is used to determine the weights of the index system, and the grey relational analysis theory is used to establish a green construction level evaluation model of prefabricated building construction projects based on grey relational analysis. The green construction level of the construction project is evaluated, and the operability and feasibility of the evaluation index system and evaluation model of the project’s green construction level are verified through a construction project example.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Mengting Huang AU - Kejian Shang PY - 2025 DA - 2025/09/16 TI - Research on Green Construction Evaluation of Prefabricated Buildings Based on Grey Relational Analysis BT - Proceedings of the 2025 6th International Conference on Management Science and Engineering Management (ICMSEM 2025) PB - Atlantis Press SP - 346 EP - 357 SN - 2667-1271 UR - https://doi.org/10.2991/978-94-6463-845-5_36 DO - 10.2991/978-94-6463-845-5_36 ID - Huang2025 ER -