Publication | Closed Access
Using fuzzy logic for system criticality analysis
39
Citations
5
References
2002
Year
Unknown Venue
Fuzzy SystemsEngineeringFuzzy ControlFuzzy ModelingVerificationItem Failure ModesRisk AnalysisSemanticsCriticality AnalysisFormal VerificationFuzzy Risk AnalysisDecision AnalyticsFuzzy Multi-criteria Decision-makingReliability EngineeringRisk ManagementManagementSystems EngineeringFuzzy OptimizationCritical SystemFuzzy Natural Language ProcessingReliabilityFuzzy LogicFuzzy ComputingComputer ScienceFuzzy Inference SystemsCriticality AssessmentFuzzy MathematicsFormal Methods
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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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