首页|模糊熵与灰云模型在既有玻璃幕墙安全评价中的应用

模糊熵与灰云模型在既有玻璃幕墙安全评价中的应用

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针对既有玻璃幕墙的安全评价问题,考虑指标信息的不确定性与等级归属的复杂性,提出一种基于模糊熵与灰云聚类模型的既有玻璃幕墙安全评价方法。首先,以实际工程为背景,通过识别既有玻璃幕墙安全风险因素,构建一套定性与定量指标相结合的安全评价指标体系;其次,基于可变模糊云与正态云模型进行评价指标的赋值;再次,运用极差最大化组合赋权法,计算评价指标的权重;最后,引入灰云聚类模型与模糊熵,实现既有玻璃幕墙安全状态的二维评估。实例结果显示:该方法既能对玻璃幕墙的安全状态进行诊断,还能运用模糊熵,从复杂性的层面揭示既有幕墙的健康状况,进而为既有玻璃幕墙的安全评估提供可行思路。
Safety evaluation method based on fuzzy entropy and grey cloud model for existing glass curtain walls
To address the safety evaluation concerns associated with existing glass curtain walls,this paper proposes a novel approach based on fuzzy entropy and the grey cloud clustering model.The approach takes into account the complexity of grade attribution,indicator weights,and the ambiguity that is frequently present in evaluation information.To begin with,the method leverages the actual engineering background and the whole life cycle theory,which enables the identification of potential safety risk factors systematically.Then,in conjunction with the relevant standard codes for existing glass curtain walls,a safety evaluation system of qualitative and quantitative indicators was constructed.Subsequently,the method employs a variable fuzzy cloud algorithm and a normal cloud model to assign values to both the quantitative and qualitative indicators.To consolidate the subjective and objective elements of indicator weights and address their inherent uncertainty,the approach utilizes the combined weighting of level difference maximization.This method achieves the fusion of indicator weights,taking advantage of the benefits offered by both subjective and objective weighting approaches.Finally,the method introduces the grey cloud clustering model and fuzzy entropy to enable a comprehensive two-dimensional evaluation of the safety status of existing glass curtain walls.By analyzing the indicator results and calculating the entropy value,it becomes possible to determine the safety status of the glass curtain walls.Additionally,from the perspective of complexity,the method reveals the health conditions of the existing curtain walls.The effectiveness of this method has been verified through experimental testing at the First Affiliated Hospital of a certain university.The results demonstrate that the method accurately diagnoses the safety status of glass curtain walls and effectively reveals their complex health conditions using fuzzy entropy.Overall,this method provides a feasible and reliable approach to evaluating the safety of existing glass curtain walls.

safety engineeringexisting glass curtain wallsafety evaluationfuzzy entropygrey cloud clustering model

黄建华、张翔

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福州大学经济与管理学院,福州 350108

安全工程 既有玻璃幕墙 安全评价 模糊熵 灰云聚类模型

国家社科基金面上项目

20BGL003

2024

安全与环境学报
北京理工大学 中国环境科学学会 中国职业安全健康协会

安全与环境学报

CSTPCD北大核心
影响因子:0.943
ISSN:1009-6094
年,卷(期):2024.24(4)
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