Multi-information fusion-based risk assessment of bridge construction safety
JIA Fei
Abstract：With the increasing number of bridges worldwide,risk assessment has become a crucial step in eval-uating the safety of bridge construction.The article introduces a novel method for bridge construction risk as-sessment that integrates cluster analysis,set-valued statistics,and entropy methods to fuse multiple types of in-formation,aiming to reduce the subjective bias in expert evaluations.Cluster analysis is used to determine the weights of experts,while the principle of minimum cross-entropy and the shadow method of set-valued statistics are employed to integrate importance and conditional information for calculating the weights of indica-tors.Subsequently,the entropy method is applied to evaluate each indicator,establishing condition-based weights.Ultimately,a fuzzy comprehensive evaluation method is utilized to conduct a comprehensive assessment within a multi-level risk indicator system,determining the risk level and control strategies for bridge construction,thereby enhancing the objectivity and scientific rigor of the assessment.The case analysis results show that the proposed method can accurately assess the safety risks of bridge construction.It can fully utilize the redundancy and complementarity of various information sources,comprehensively and accurately evaluate the risk factors in the bridge construction process,and provide scientific basis for formulating effective risk control measures.
Keywords：information fusionbridgeconstructionriskevaluation
Publication Date：2025-08-30
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 76-83 )