Rough-fuzzy set theoretic approach to evaluate the importance of input features in classification.
Manish SarkarB. YegnanarayanaPublished in: ICNN (1997)
Keyphrases
- input features
- fuzzy sets
- rough sets
- rough fuzzy
- classification algorithm
- class labels
- membership functions
- machine learning algorithms
- feature values
- feature selection
- support vector machine
- decision rules
- rough set theory
- pattern recognition
- fuzzy logic
- neural network
- classification method
- classification accuracy
- decision trees
- computational intelligence
- fuzzy rules
- support vector machine svm
- feature subset
- classification rate
- text classification
- training data
- artificial neural networks
- data analysis
- machine learning
- image classification
- learning algorithm
- multi class
- training set
- feature space
- selected features
- support vector