Risk Analysis: Fuzzy Cognitive Maps Vs Fault Trees
- Authors: Rothstein A.P.1
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Affiliations:
- Jerusalem College of Technology (Lev Academic Center)
- Issue: Vol 58, No 2 (2019)
- Pages: 200-211
- Section: Artificial Intelligence
- URL: https://journals.rcsi.science/1064-2307/article/view/220324
- DOI: https://doi.org/10.1134/S1064230719020163
- ID: 220324
Cite item
Abstract
Restrictions of the method of fault trees in risk analysis problems are analyzed. As an alternative to this method, we consider the possibility to apply fuzzy cognitive maps; this new modelling technique is not sufficiently propagated in the reliability theory. Based on fuzzy cognitive maps, we propose a method to rank risk factors and illustrate it by an example of a man-machine system.
About the authors
A. P. Rothstein
Jerusalem College of Technology (Lev Academic Center)
Author for correspondence.
Email: rothstei@g.jct.ac.il
Israel, Jerusalem, 91160