A novel approach for safety culture assessment

Da Ruan, Frank Hardeman, Lusine Mkrtchyan

    Research outputpeer-review

    Abstract

    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.

    Original languageEnglish
    Pages (from-to)1-15
    Number of pages15
    JournalInternational Journal of Uncertainty, Fuzziness and Knowldege-Based Systems
    Volume20
    Issue numberSUPPL. 1
    DOIs
    StatePublished - Jun 2012

    ASJC Scopus subject areas

    • Software
    • Control and Systems Engineering
    • Information Systems
    • Artificial Intelligence

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