Deterministic and Nondeterministic Decision Trees for Decision Tables with Many-Valued Decisions from Closed Classes.
Azimkhon OstonovMikhail MoshkovPublished in: IJCRS (2023)
Keyphrases
- decision table
- decision trees
- decision rules
- variable precision
- rough set theory
- decision tree induction
- attribute reduction
- knowledge reduction
- information entropy
- rule induction
- decision making
- variable precision rough set
- rough sets
- decision makers
- random forest
- flow graphs
- training data
- classification rules
- naive bayes
- attribute selection
- discernibility matrix
- machine learning
- training set
- classification models
- feature selection