Classification of uncertain and imprecise data based on evidence theory.
Zhunga LiuQuan PanJean DezertPublished in: Neurocomputing (2014)
Keyphrases
- imprecise data
- evidence theory
- naive bayes classifier
- rough sets
- missing data
- training samples
- pattern recognition
- classification accuracy
- uncertain data
- decision making
- decision trees
- support vector
- feature space
- machine learning
- class labels
- feature selection
- computer vision
- neuro fuzzy
- sigmoid function
- support vector machine
- decision rules
- computational intelligence
- supervised learning
- feature vectors
- feature extraction
- knowledge base
- learning algorithm