基于FPP-Grey的地铁车站火灾安全灰色聚类评价
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摘要
针对地铁车站火灾安全评价指标的模糊灰色性,从消防设计、消防设备、环境因素、管理因素4个维度建立地铁车站火灾安全评价指标体系,界定地铁车站火灾的安全等级,提出了基于FPP-Grey的地铁车站火灾安全灰色聚类评价模型。首先借助三角模糊数让专家对指标的表达更贴近实际,构建模糊判断矩阵,通过模糊优先规划得到指标权重并验证指标权重的科学性;然后运用灰色白化权函数解决指标的灰色性、不透明性问题,实现信息的透明化,聚类分析出地铁车站火灾的安全等级;最后将其运用于郑州地铁2号线柳林站火灾的安全评价,结果表明该车站火灾安全等级属于很安全状态,但需要重点关注防火分类和耐火等级状况、消防系统、车站内部环境、日常安全管理4个评价指标。该研究丰富了地铁车站火灾安全评价方法,可为地铁车站火灾安全管理提供依据。
In view of the fuzzy grayness of fire safety evaluation index of subway station,this paper proposes a grey clustering evaluation model of subway station fire safety based on FPP-Grey,through establishing the evaluation index system from four dimensions:fire protection design,fire protection equipment,environmental factors and management factors,and defines the fire safety levels of subway station.Firstly,by using the triangle fuzzy number to make the experts closer to the fuzzy cognition of the index,the paper constructs the fuzzy judgment matrix,and obtains the index weight through Fuzzy Preference Programming(FPP) and verifies the scientificity of the index weight.Then the paper uses the gray whitening weight function to solve the index grayness and opacity,realizing the transparency of information,and analyzes the fire safety levels of the subway station by cluster analysis.Finally,the paper applies the model to fire safety evaluation of Liulin Station of Zhengzhou Subway Line 2.The results indicate that the fire safety level of the station is very high,however, it is necessary to pay attention to the fire classification and fire rating,fire protection system,station internal environment and daily safety management.The research may provide reference for fire safety management and enrich fire safety assessment method of subway station.
In view of the fuzzy grayness of fire safety evaluation index of subway station,this paper proposes a grey clustering evaluation model of subway station fire safety based on FPP-Grey,through establishing the evaluation index system from four dimensions:fire protection design,fire protection equipment,environmental factors and management factors,and defines the fire safety levels of subway station.Firstly,by using the triangle fuzzy number to make the experts closer to the fuzzy cognition of the index,the paper constructs the fuzzy judgment matrix,and obtains the index weight through Fuzzy Preference Programming(FPP) and verifies the scientificity of the index weight.Then the paper uses the gray whitening weight function to solve the index grayness and opacity,realizing the transparency of information,and analyzes the fire safety levels of the subway station by cluster analysis.Finally,the paper applies the model to fire safety evaluation of Liulin Station of Zhengzhou Subway Line 2.The results indicate that the fire safety level of the station is very high,however, it is necessary to pay attention to the fire classification and fire rating,fire protection system,station internal environment and daily safety management.The research may provide reference for fire safety management and enrich fire safety assessment method of subway station.
引文
[1] 褚鹏宇,刘澜,尹俊淞.基于动态变权模糊Petri网的地铁火灾风险评估[J].安全与环境学报,2016,16(6):39-44.
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[9] 王建波,有维宝,刘芳梦,等.基于WSR-D-S证据理论的地铁车站火灾安全评价[J].安全与环境学报,2018,18(3):900-906.
[10]安永林,彭立敏.地铁火灾风险性的多级可拓综合评估[J].防灾减灾工程学报,2009,29(5):566-571.
[11]阳富强,朱伟方,刘晓霞.基于WSR和熵权物元可拓理论的地铁火灾风险评价[J].安全与环境工程,2017,24(6):184-188.
[12]李江华.SOM神经网络在地铁车站火灾风险评价中的应用[J].现代交通技术,2014,11(5):77-79.
[13]Mikhailov L.Deriving priorities from fuzzy pairwise comparison judgements[J].Fuzzy Sets and Systems,2003,134(3):365-385.
[14]刘思峰,谢乃明.基于改进三角白化权函数的灰评估新方法[J].系统工程学报,2011,26(2):244-250.
[15]宋博,武瑞娟,牛发阳.基于OWA与灰色聚类的城市轨道交通PPP融资风险评价方法研究[J].隧道建设,2017,37(4):435-441.
[2] 陈曼英.基于模糊理论的地铁火灾风险评估及控制研究[D].泉州:华侨大学,2013.
[3] 侯昱晟,李炎锋,石勃伟,等.地铁换乘车站的火灾风险评估[J].消防科学与技术,2014,33(11):1326-1329.
[4] 马一太,曾宪阳,刘万福.地铁火灾危险性的模糊综合评判[J].铁道学报,2006(3):106-110.
[5] 胡又咏,刘栋栋,张向阳.改进层次分析法在地铁火灾风险评价中的应用[J].北京建筑工程学院学报,2009,25(3):38-41,59.
[6] 米红甫,肖国清,王林元,等.地铁车站火灾风险的概率模糊评估研究[J].安全与环境学报,2015,15(5):16-20.
[7] 王建波,彭龙镖,李娜,等.基于PCA-RBF神经网络的地铁车站火灾风险评估[J].工业安全与环保,2017,43(9):67-70.
[8] 阳富强,朱伟方,刘晓霞.基于WSR和熵权物元可拓理论的地铁火灾风险评价[J].安全与环境工程,2017,24(6):184-188.
[9] 王建波,有维宝,刘芳梦,等.基于WSR-D-S证据理论的地铁车站火灾安全评价[J].安全与环境学报,2018,18(3):900-906.
[10]安永林,彭立敏.地铁火灾风险性的多级可拓综合评估[J].防灾减灾工程学报,2009,29(5):566-571.
[11]阳富强,朱伟方,刘晓霞.基于WSR和熵权物元可拓理论的地铁火灾风险评价[J].安全与环境工程,2017,24(6):184-188.
[12]李江华.SOM神经网络在地铁车站火灾风险评价中的应用[J].现代交通技术,2014,11(5):77-79.
[13]Mikhailov L.Deriving priorities from fuzzy pairwise comparison judgements[J].Fuzzy Sets and Systems,2003,134(3):365-385.
[14]刘思峰,谢乃明.基于改进三角白化权函数的灰评估新方法[J].系统工程学报,2011,26(2):244-250.
[15]宋博,武瑞娟,牛发阳.基于OWA与灰色聚类的城市轨道交通PPP融资风险评价方法研究[J].隧道建设,2017,37(4):435-441.
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