A Smart Construction Benefit Evaluation Method Combining C-OWA Operator and Grey Clustering

Currently, there is a lack of effective objective quantitative methods for evaluating the benefits of smart construction. Therefore, this study proposes a comprehensive method for evaluating the benefits of smart construction. This method establishes an indicator system from the perspective of evaluation objectives, and on this basis, uses a continuous ordered weighted average operator to ensure the objectivity of indicator weight allocation. Afterwards, the grey clustering method is used to form a scoring matrix, achieving effective comprehensive quantitative evaluation. The results showed that for the selected project, the comprehensive benefit value evaluated was 8.342, indicating that the smart construction efficiency of the project had reached a good level. Meanwhile, the extensive benefits of the project showed a stepwise upward trend from 2021 to 2023. This study aims to design and apply a smart construction benefit evaluation method that integrates continuous ordered weighted average operator and grey clustering, which is practical and can provide data reference for project management of smart buildings.

@article{Sun2024,
  title     = {A Smart Construction Benefit Evaluation Method Combining C-OWA Operator and Grey Clustering},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {6},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Yunzhu Sun and Yunfeng Zhang},
  doi       = {10.14569/IJACSA.2024.0150634},
  url       = {https://doi.org/10.14569/IJACSA.2024.0150634}
}