Granularity-driven trisecting-and-learning models for interval-valued rule induction.
Yingxiao ChenPing ZhuQiaoyi LiYiyu YaoPublished in: Appl. Intell. (2023)
Keyphrases
- learning models
- rule induction
- interval valued
- fuzzy sets
- rough sets
- decision trees
- machine learning
- group decision making
- decision rules
- learning tasks
- learning algorithm
- machine learning algorithms
- loss function
- rough set theory
- knowledge discovery in databases
- conditional random fields
- semi supervised learning
- classification rules
- classification models
- rule sets
- data mining
- learning problems
- data sets
- rough set model
- membership functions
- computer vision
- semi supervised
- feature vectors
- decision table
- data analysis
- training data
- attribute reduction