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

页码：105 / +

页数：3

共 25 条

[1] Design and implementation of a fuzzy expert system for performance assessment of an integrated health, safety, environment (HSE) and ergonomics system: The case of a gas refinery [J].