安全文化评价的新方法

IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal of Uncertainty Fuzziness and Knowledge-Based Systems Pub Date : 2012-07-09 DOI:10.1142/S0218488512400016
D. Ruan, F. Hardeman, L. Mkrtchyan
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引用次数: 2

摘要

安全文化描述了如何在企业内管理安全问题。如何使安全文化变得强大和可持续?如何确保安全是所有类型活动的首要责任或主要焦点?如何改善安全文化,如何识别安全文化中最脆弱的问题?这些都是安全文化的重要问题。大量的研究集中在确定和构建安全文化主要指标的层次结构上。然而,只有很少的方法来评估一个组织的安全文化,这些方法往往是直接的。本文提出了一种基于信度分布模糊认知图(bdd - fcm)的安全文化评价方法。认知地图最初是为不确定因果推理的图形表示而提出的。后来Kosko提出了模糊认知地图fcm,在这种fcm中,用户可以自由地用语言表达自己的观点,而不是用清晰的数字。然而,将某些语言学术语与因果关系联系起来并不总是那么容易。通过使用bdd - fcm,可以用信念结构来表达因果联系,从而可以获得具有语言项分布的联系评估。此外,我们提出了一个通用框架,通过直接使用信念结构或其他类型的结构(如区间、语言术语或清晰的数字)来构建bdd - fcm。所提出的框架为因果推理提供了一个更灵活的工具,因为它处理不同的结构来评估因果联系。
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A NOVEL APPROACH FOR SAFETY CULTURE ASSESSMENT
Safety Culture describes how safety issues are managed within an enterprise. How to make safety culture strong and sustainable? How to be sure that safety is a prime responsibility or main focus for all types of activity? How to improve safety culture and how to identify the most vulnerable issues of safety culture? These are important questions for safety culture. Huge amount of studies focus on identifying and building the hierarchy of the main indicators of safety culture. However, there are only few methods to assess an organization's safety culture and those methods are often straightforward. In this paper we describe a novel approach for safety culture assessment by using Belief Degree-Distributed Fuzzy Cognitive Maps (BDD-FCMs). Cognitive maps were initially presented for graphical representation of uncertain causal reasoning. Later Kosko suggested Fuzzy Cognitive Maps FCMs in which users freely express their opinions in linguistic terms instead of crisp numbers. However, it is not always easy to assign some linguistic term to a causal link. By using BDD-FCMs, causal links are expressed by belief structures which enable getting the links evaluations with distributions over the linguistic terms. In addition, we propose a general framework to construct BDD-FCMs by directly using belief structures or other types of structures such as intervals, linguistic terms, or crisp numbers. The proposed framework provides a more flexible tool for causal reasoning as it handles different structures to evaluate causal links.
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来源期刊
CiteScore
2.70
自引率
0.00%
发文量
48
审稿时长
13.5 months
期刊介绍: The International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems is a forum for research on various methodologies for the management of imprecise, vague, uncertain or incomplete information. The aim of the journal is to promote theoretical or methodological works dealing with all kinds of methods to represent and manipulate imperfectly described pieces of knowledge, excluding results on pure mathematics or simple applications of existing theoretical results. It is published bimonthly, with worldwide distribution to researchers, engineers, decision-makers, and educators.
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