Title :
Using fuzzy logic for system criticality analysis
Author :
Peláez, C. Enrique ; Bowles, John B.
Author_Institution :
South Carolina Univ., Columbia, SC, USA
Abstract :
Fuzzy logic provides a tool for directly manipulating the linguistic terms that an analyst employs in making a criticality assessment for a failure modes, effects and criticality analysis (FMECA). This allows an analyst to evaluate the risk associated with item failure modes in a natural way. Appropriate actions to correct or mitigate the effects of the failure can be prioritized even though the information available is vague, ambiguous, qualitative, or imprecise
Keywords :
failure analysis; fuzzy logic; failure criticality analysis; failure effects; failure modes; fuzzy logic; linguistic terms; risk; system criticality analysis; Aerospace industry; Aerospace safety; Automotive engineering; Failure analysis; Fuzzy logic; Fuzzy sets; Fuzzy systems; Lakes; Product safety; Risk analysis;
Conference_Titel :
Reliability and Maintainability Symposium, 1994. Proceedings., Annual
Conference_Location :
Anaheim, CA
Print_ISBN :
0-7803-1786-6
DOI :
10.1109/RAMS.1994.291150