The risk assessment of engineering systems represents an important part of the quality of service and dependability. The existing methods for risk evaluation use crisp sets for rating partial indicators’ proposition and their cumulative products as an overall indicator. In this paper, existing FMEA and FMECA methods have been improved using the fuzzy expert system for calculating the risk priority number. The application of fuzzy logic allows the use of linguistic descriptions for risk analysis. In this way, the ...
Stevan Djenadic, Milos Tanasijevic, Predrag Jovancic, Dragan Ignjatovic, Dejan Petrovic, Ugljesa Bugaric. "Risk Evaluation: Brief Review and Innovation Model Based on Fuzzy Logic and MCDM" in Mathematics, MDPI AG (2022). https://doi.org/10.3390/math10050811 М21а