Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique
Reexamination Certificate
2005-05-24
2005-05-24
Knight, Anthony (Department: 2121)
Data processing: artificial intelligence
Knowledge processing system
Knowledge representation and reasoning technique
C706S001000, C706S002000, C706S003000, C706S004000, C706S005000, C706S006000, C706S007000, C706S008000, C706S009000, C706S014000, C706S045000, C700S050000, C700S052000, C700S054000
Reexamination Certificate
active
06898585
ABSTRACT:
Machine operators rely on intuition and experience to evaluate vehicle performance. As we increasingly turn to automation, it is important to automatically evaluate sensor data and system performance. Fuzzy logic allows us to take advantage of domain knowledge to evaluate data and to describe a system linguistically. In this application a fuzzy quality module evaluates output from a noisy sensor. It compares the sensor data with an estimated sensor value, and based on that comparison, dynamically adapts a fuzzy logic rulebase used to determine whether the sensor value is valid or not.
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Benson Eric R.
Reid John F.
Zhang Qin
Hartman Jr. Ronald D
Knight Anthony
Stader John William
University of Illinois
Webb Collin A.
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