Risk Assesing by Fuzzy Logic-algorithmic Fault Tree

نویسندگان

  • Alexander Rotshtein
  • Serhiy Shtovba
چکیده

The new method for risk assessment of the man-machine system functioning is proposed. The feature of the method is combining the fuzzy fault tree analysis and theory of fuzzy reliability of algorithmic processes. This provides a consideration from a unified framework the structural accidents with algorithms of its detecting and avoiding. Method also allows to use fuzzy “if-then” rules about man-machine and environment factors influencing upon probabilities of various events connected with each hazard situation.

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تاریخ انتشار 2010