Data-Driven Interval Granulation Approach Based on Uncertainty Principle for Efficient Classification.
Chengying WuQinghua ZhangLongjun YinQin XieNanfang LuoGuoyin WangPublished in: IEEE Trans. Fuzzy Syst. (2024)
Keyphrases
- data driven
- pattern classification
- pattern recognition
- support vector machine svm
- decision trees
- classification method
- classification algorithm
- classification scheme
- supervised learning
- text classification
- classification models
- classification rules
- machine learning methods
- decision rules
- image classification
- multi class
- classification accuracy
- training set
- feature space
- feature selection
- classification systems
- belief functions
- eeg signals
- classification process
- interval type fuzzy
- unsupervised learning
- svm classifier
- machine learning
- model selection
- feature set
- support vector
- artificial intelligence