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Using Belief Degree-Distributed Fuzzy Cognitive Maps for Safety Culture Assessment

  • Da Ruan
  • Lusine Mkrtchyan
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 124)

Abstract

Safety Culture describes how safety issues are managed within an enterprise. In this paper we describe a prototype for safety culture assessment using Belief Degree Fuzzy Cognitive Maps. Our approach discusses how to assess safety culture within an organization, and find out the main factors that need to be changed to reach a strong safety culture. Fuzzy Cognitive Maps have been used in many application fields were decision making process is related with uncertainty, vague and incomplete information. Belief Degree Distributed Fuzzy Cognitive Maps provide more flexibility and freedom for experts to give their assessments by different data structures.

Keywords

Linguistic Term Safety Culture External Expert Belief Structure Crisp Number 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Mkrtchyan, L., Ruan, D.: Using Belief Degree Distributed Fuzzy Cognitive Maps for Energy Policy Evaluation. In: Springer, Risk Management in Decision Making: Intelligent Methodologies and Applications (in press, 2011)Google Scholar
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    Mkrtchyan, L., Ruan, D.: Belief degree-distributed fuzzy cognitive maps. In: Intelligent Systems and Knowledge Engineering, pp. 159–165, Hangzhou (2010)Google Scholar
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    Mariken, H., et al.: Safety methods database (2010), http://www.nlr.nl/documents/flyers/SATdb.pdf/

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Da Ruan
    • 1
  • Lusine Mkrtchyan
    • 1
  1. 1.The Belgian Nuclear Research Centre (SCK•CEN)MolBelgium

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