Research on fire risk assessment of high-rise buildings based on fuzzy mathematics and set-value statistics theory,ERICDATA高等教育知識庫
高等教育出版
熱門: 李明昆  王美玲  王善边  黃昱倫  黃乃熒  程明风  
高等教育出版
首頁 臺灣期刊   學校系所   學協會   民間出版   大陸/海外期刊   政府機關   學校系所   學協會   民間出版   DOI註冊服務
篇名
Research on fire risk assessment of high-rise buildings based on fuzzy mathematics and set-value statistics theory
並列篇名
Research on fire risk assessment of high-rise buildings based on fuzzy mathematics and set-value statistics theory
作者 Jun MaJia WangXiao-Ping ZhouYa-Yun Wei
英文摘要
Once a high-rise building fire will cause serious casualties and huge loss of property, meanwhile, it will also have bad social impact. In order to avoid or reduce the occurrence of fire, effective prevention and control of high-rise building fire has become an important subject. Building fire risk assessment is the basis of building fire risk management, fire risk assessment of buildings can effectively prevent the occurrence of fire accidents and control the loss of the accident. Based on the study of the role and relationship of all factors in building fire safety, this paper establishes an index system for fire risk assessment of high-rise buildings , which can be evaluated from five aspects, it includes the active fireproofing ability of building, passive fireproofing ability of building, fire fighting and rescue ability, evacuation capability and fire management level. Considering the relationship between the measured value and the evaluation index range from the point of view of system security, the corresponding weight system is determined. Considering that the fire risk assessment of high-rise buildings is characterized by many evaluation parameters, fuzzy evaluation conclusions and complicated evaluation process, in this paper, based on the traditional fuzzy evaluation model, the set value statistics method is introduced in the fuzzy mathematics, and the corresponding evaluation interval is redefined. it adopts the Linear interpolation method to show the evaluation results which is expressed in membership degree in quantitative form, and a new linear weighted average fuzzy comprehensive evaluation model is established. The evaluation results of the new model are more objective, clear and universal.
起訖頁 145-160
關鍵詞 fuzzy mathematicshigh building firemembership functionrisk assessmentset value statistics
刊名 電腦學刊  
期數 201804 (29:2期)
DOI 10.3966/199115992018042902015   複製DOI
QR Code
該期刊
上一篇
Research on optimal eight-sample rotation vector algorithm for SINS attitude updating
該期刊
下一篇
Data Aggregation for Road Functionality Detection Based on Machine Leaning and VANET

高等教育知識庫  閱讀計畫  教育研究月刊  新書優惠  

教師服務
合作出版
期刊徵稿
聯絡高教
高教FB
讀者服務
圖書目錄
教育期刊
訂購服務
活動訊息
數位服務
高等教育知識庫
國際資料庫收錄
投審稿系統
DOI註冊
線上購買
高點網路書店 
元照網路書店
博客來網路書店
教育資源
教育網站
國際教育網站
關於高教
高教簡介
出版授權
合作單位
知識達 知識達 知識達 知識達 知識達 知識達
版權所有‧轉載必究 Copyright2011 高等教育文化事業股份有限公司  All Rights Reserved
服務信箱:edubook@edubook.com.tw 台北市館前路 26 號 6 樓 Tel:+886-2-23885899 Fax:+886-2-23892500