Research on construction risk evaluation of assembly building lifting based on modified D-S evidence theory

In order to reduce the adverse effects of expert subjectivity on the risk assessment results of hoisting construction in prefabricated buildings, this paper treats the risk assessment of hoisting construction in prefabricated buildings as a multi-attribute decision-making problem, and proposes a data processing method based on the improved Dempster-Shafer theory using the Lanzhou distance. Firstly, a risk assessment index system is constructed from five aspects: human factors, equipment factors, technical factors, management factors, and environmental factors. Then, the Combination Ordered Weighted Averaging (C-OWA) operator is used to assign weights to the indicators. A data processing model based on the Lanzhou distance improved Dempster-Shafer theory is constructed to determine the risk level. Finally, empirical analysis is conducted. The results show that this method can effectively reduce the adverse effects of expert subjectivity on the evaluation results and can provide reference for practical engineering projects.

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Published
2025-04-11
DOI
https://doi.org/10.1145/3747012.3747019
Primary Topic
Evaluation and Optimization Models
Type
article
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article

Research on construction risk evaluation of assembly building lifting based on modified D-S evidence theory

Lihong Yue, C.H. Wang, Youjung Song
Evaluation and Optimization Models
article

Research on construction risk evaluation of assembly building lifting based on modified D-S evidence theory

Lihong Yue, C.H. Wang, Youjung Song
article en

Abstract

In order to reduce the adverse effects of expert subjectivity on the risk assessment results of hoisting construction in prefabricated buildings, this paper treats the risk assessment of hoisting construction in prefabricated buildings as a multi-attribute decision-making problem, and proposes a data processing method based on the improved Dempster-Shafer theory using the Lanzhou distance. Firstly, a risk assessment index system is constructed from five aspects: human factors, equipment factors, technical factors, management factors, and environmental factors. Then, the Combination Ordered Weighted Averaging (C-OWA) operator is used to assign weights to the indicators. A data processing model based on the Lanzhou distance improved Dempster-Shafer theory is constructed to determine the risk level. Finally, empirical analysis is conducted. The results show that this method can effectively reduce the adverse effects of expert subjectivity on the evaluation results and can provide reference for practical engineering projects.

Qingdao University of Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 75%
Evaluation and Optimization Models
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Research on construction risk evaluation of assembly building lifting based on modified D-S evidence theory — Lihong Yue, C.H. Wang, et al. · (2025) | TGRS Research Map | TGRS