Cautious classification based on belief functions theory and imprecise relabelling.
Abdelhak ImoussatenLucie JacquinPublished in: Int. J. Approx. Reason. (2022)
Keyphrases
- belief functions
- dempster shafer
- uncertain information
- dempster shafer theory
- probability theory
- uncertain reasoning
- general theory
- probability function
- pattern recognition
- classification accuracy
- evidential reasoning
- text classification
- possibility theory
- decision trees
- machine learning
- support vector
- feature extraction
- theoretical framework
- class labels
- set valued
- combination rule
- markov tree
- data analysis
- computer vision
- neural network
- probability functions
- distributive lattices