Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization.
János AbonyiJohannes A. RoubosFerenc SzeifertPublished in: Int. J. Approx. Reason. (2003)
Keyphrases
- decision trees
- data driven
- naive bayes
- machine learning algorithms
- classification models
- decision tree classifiers
- training data
- fuzzy logic
- fuzzy sets
- training set
- decision tree algorithm
- decision tree induction
- membership functions
- fuzzy decision trees
- predictive accuracy
- high accuracy
- test set
- accurate classifiers
- fuzzy clustering
- support vector
- accurate classification
- classification trees
- multiple classifiers
- bayes classifier
- machine learning
- meta learning
- information gain
- random forest
- logistic regression
- data sets
- ensemble classifier
- regression trees
- supervised classification
- induction algorithms
- fuzzy numbers
- feature set
- bayesian classifiers
- feature vectors
- natural language
- highly discriminative