A least square approach for the detection and removal of outliers for fuzzy linear regressions.
M. Hadi MashinchiMehmet A. OrgunM. Reza MashinchiPublished in: NaBIC (2010)
Keyphrases
- least squares
- linear model
- fuzzy sets
- fuzzy logic
- detection method
- detection rate
- detecting outliers
- false alarms
- fuzzy clustering
- automatic detection
- false positives
- event detection
- neural network
- object detection
- support vector
- decision making
- detection algorithm
- data points
- linear regression
- neuro fuzzy
- fuzzy controller
- high dimensional
- fuzzy systems
- detection accuracy
- multi criteria
- fuzzy ontology