A Novel Approach to Generate Type-1 Fuzzy Triangular and Trapezoidal Membership Functions to Improve the Classification Accuracy.
Muhammad Hamza AzamMohd Hilmi HasanSaima HassanSaid Jadid AbdulkadirPublished in: Symmetry (2021)
Keyphrases
- membership functions
- improve the classification accuracy
- fuzzy sets
- fuzzy rules
- t norm
- fuzzy logic
- fuzzy model
- fuzzy clustering
- fuzzy controller
- fuzzy membership functions
- classification accuracy
- fuzzy inference
- fuzzy neural network
- takagi sugeno kang
- rule base
- semi supervised learning
- fuzzy inference system
- fuzzy entropy
- fuzzy reasoning
- fuzzy partition
- membership degree
- fuzzy partitions
- fuzzy rule based systems
- fuzzy variable
- fuzzy logic controller
- fuzzy association rules
- fuzzy c means
- fuzzy modeling
- genetic optimization
- information granules
- takagi sugeno
- fuzzy systems
- rough sets
- decision trees
- feature selection
- interval valued
- genetic algorithm
- fuzzy numbers
- input output
- data analysis
- knowledge base
- decision making
- artificial intelligence