کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
384661 660853 2013 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Profiling risk sensibility through association rules
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Profiling risk sensibility through association rules
چکیده انگلیسی

In the last recent years several approaches to risk assessment and risk management have been adopted to reduce the potential for specific risks in working environments. A safety culture has also developed to let workers acquire knowledge and understanding of risks and safety. Notwithstanding, risks still exist in every workplace. One effective way to improve workers’ sensibility to risk, i.e., their ability to effectively assess and control the risks they are exposed to, is risk management training. Unfortunately, people may perceive risks in different ways depending on subjective assessment of the characteristics and severity of the considered risks, and may have tendencies to either take or avoid actions that they feel are risky. Therefore, the knowledge of how workers assess each of the risks they may be exposed to in the workplace is a key factor to conceive effective custom risk management training. In this paper we present a novel approach, based on association rules, to workers’ profiling with respect to risk perception and risk propensity in order to provide each of them with specific customized risk management training.


► We profile workers with respect to risk perception and risk propensity.
► We find out interrelations between criticality factors and risk preventing actions.
► Strong association rules represent risk sensibility profiles.
► We discover both single-risk and multi-risk association rules.
► Profiling risk sensibility makes customized risk management training easier.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 40, Issue 5, April 2013, Pages 1484–1490
نویسندگان
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