Unsupervised machine learning approach for building composite indicators with fuzzy metrics.
Eduardo Jiménez-FernándezA. SánchezEnrique Alfonso Sánchez-PérezPublished in: Expert Syst. Appl. (2022)
Keyphrases
- machine learning
- unsupervised learning
- supervised learning
- fuzzy sets
- fuzzy logic
- fuzzy set theory
- data mining
- machine learning methods
- fuzzy numbers
- supervised classification
- pattern recognition
- machine learning algorithms
- computational intelligence
- inductive learning
- learning tasks
- membership functions
- fuzzy modeling
- fuzzy classification
- fuzzy comprehensive evaluation method
- artificial intelligence
- decision trees
- semi supervised
- learning algorithm
- unsupervised manner
- machine learning approaches
- feature selection
- fuzzy neural network
- evaluation metrics
- reinforcement learning
- learning problems
- control system
- learning systems
- expert systems
- knowledge representation
- fuzzy rules
- transfer learning
- knowledge discovery
- support vector machine
- computer vision
- similarity metrics
- text classification
- information extraction
- natural language processing
- neural network