RT Journal Article
T1 Fuzzy Logic Applied to System Monitors
A1 Khan, Noel
A1 Elizondo, David A.
A1 Deka, Lipika
A1 Molina-Cabello, Miguel A.
K1 Monitoring
K1 Fuzzy sets
K1 Fuzzy logic
K1 Linguistics
K1 Uncertainty
K1 Productivity
K1 Market research
K1 Autonomous systems
K1 fault tolerance
K1 fuzzy systems
K1 monitoring
K1 software reliability
AB System monitors are applications used to monitor other systems (often mission critical) and take corrective actions upon a system failure. Rather than reactively take action after a failure, the potential of fuzzy logic to anticipate and proactively take corrective actions is explored here. Failures adversely affect a system's non-functional qualities (e.g., availability, reliability, and usability) and may result in a variety of losses such as data, productivity, or safety losses. The detection and prevention of failures necessarily improves a critical system's non-functional qualities and avoids losses. The paper is self-contained and reviews set and logic theory, fuzzy inference systems (FIS), explores parameterization, and tests the neighborhood of rule thresholds to evaluate the potential for anticipating failures. Results demonstrate detectable gradients in FIS state spaces and means fuzzy logic based system monitors can anticipate rule violations or system failures.
PB Ieee-inst electrical electronics engineers inc
SN 2169-3536
YR 2021
FD 2021-01-01
LK http://hdl.handle.net/10668/18974
UL http://hdl.handle.net/10668/18974
LA en
DS RISalud
RD Apr 19, 2025