基于灰色动态聚类-粗糙集的装配式建筑施工安全评价指标体系优化
Optimization of Safety Evaluation Indicator System of Prefabricated Building Construction Based on Grey Dynamic Clustering and Rough Set
李平 1周颖 1蒋春迪2
作者信息
- 1. 安徽工业大学 管理科学与工程学院,安徽 马鞍山 243032
- 2. 安徽工业大学 管理科学与工程学院,安徽 马鞍山 243032;西安理工大学 经济与管理学院,陕西 西安 710054
- 折叠
摘要
建立合理的装配式建筑施工安全评价指标体系是规范装配式建筑安全施工的关键,引入灰色动态聚类和粗糙集属性约简相结合的方法对指标进行约简分析.利用灰色关联分析法建立样本间的灰色关联矩阵,并利用F-统计量确定最优阈值,以确定样本的最佳分类;逐一删除每个指标,采用灰色动态聚类方法对剩余指标进行聚类分析,得出其最佳聚类结果;运用粗糙集约简理论,对比删减某一指标和全部指标下的最佳聚类结果,保留与原始最佳聚类结果不同即对样本分类有影响的指标.这一举措实现了安全评价指标的有效筛选,减少了后续施工安全评价的工作量,确保了安全评价的准确性,同时也为装配式建筑现场施工管理工作提供了指导.
Abstract
The establishment of a rational safety evaluation indicators system for prefabricated construction is of paramount importance for the standardization of the safe construction of modular buildings.A novel method combining grey dynamic clustering and rough set attribute reduction is introduced to analyze and simplify the indicators.The grey relational analysis is utilized to establish a grey relational matrix between samples,and an F-statistic is used to determine the optimal threshold for the best categorization of samples.Subsequently,each indicator is removed one by one,and the remaining indicators are clustered using the grey dynamic clustering method to obtain their optimal clustering results.Finally,the theory of rough set reduction is applied to compare the optimal clustering result of a specific indicator with the results of removing that indicator,retaining only those indicators that differ from the original optimal clustering result and thus affect the classification of samples.This measure has proven effective in screening safety evaluation indicators,reducing the workload of subsequent construction safety evaluations,ensuring the accuracy of safety evaluations,and providing targeted guidance for the management of prefabricated building construction sites.
关键词
装配式建筑/灰色动态聚类/粗糙集/指标约简/F-统计量Key words
prefabricated buildings/grey dynamic clustering/rough sets/indicator reduction/F-statistic引用本文复制引用
出版年
2024
NETL
NSTL
万方数据