Qualitative Model for Risk Assessment in Construction Industry: A Fuzzy Logic Approach

被引：0
|
作者：
Pinto, Abel [1 ]
Nunes, Isabel L. [1 ]
Ribeiro, Rita A. [2 ]
机构：
[1] Univ Nova Lisboa FCT, P-2829516 Caparica, Portugal
[2] Univ Nova Lisboa FCT, Uninova, P-2829516 Caparica, Portugal
来源：
EMERGING TRENDS IN TECHNOLOGICAL INNOVATION | 2010年 / 314卷
关键词：
Risk assessment; safety; fuzzy sets; construction industry; SAFETY ANALYSIS; SETS; DESIGN; HEALTH; SITES;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Risk Assessment for Health and Safety (RAH&S) of workers is a complex task that entails the consideration of many parameters which are, more often than not, difficult to quantify. RAH&S in the construction industry is rampant with inadequate data and/or imprecise and incomplete information, particularly in the design stage, for which traditional quantitative approaches do not give adequate answers. In this work we outline the basic aspects for a Qualitative Risk Assessment Model (QRAM) based on elicited data and using a fuzzy logic approach.
引用
收藏
页码：105 / +
页数：3
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