Optimizing Partition Granularity, Membership Function Parameters, and Rule Bases of Fuzzy Classifiers for Big Data by a Multi-objective Evolutionary Approach.
Marco BarsacchiAlessio BechiniPietro DucangeFrancesco MarcelloniPublished in: Cogn. Comput. (2019)
Keyphrases
- membership functions
- rule base
- big data
- fuzzy rules
- fuzzy sets
- fuzzy membership functions
- fuzzy partition
- multi objective evolutionary
- fuzzy inference system
- fuzzy logic
- fuzzy if then rules
- fuzzy model
- membership values
- information granules
- fuzzy clustering
- fuzzy neural network
- fuzzy systems
- fuzzy controller
- fuzzy rule based systems
- cloud computing
- fuzzy control rules
- data management
- rule sets
- membership degree
- fuzzy logic controller
- fuzzy inference
- initial values
- fuzzy entropy
- data warehousing
- neuro fuzzy
- fuzzy modeling
- data processing
- knowledge discovery
- data analysis
- social media
- training data
- production rules
- decision trees
- neural network
- fuzzy measures
- fuzzy control
- rough sets
- nonlinear systems
- expert systems
- multi objective
- business intelligence
- information granulation
- feature selection
- association rules
- training set
- imbalanced data sets
- knowledge base
- error rate
- genetic algorithm
- classification algorithm