A combination of fuzzy similarity measures and fuzzy entropy measures for supervised feature selection.
Christoph LohrmannPasi LuukkaMatylda Jablonska-SabukaTuomo KaurannePublished in: Expert Syst. Appl. (2018)
Keyphrases
- fuzzy entropy
- fuzzy sets
- similarity measure
- membership functions
- supervised feature selection
- fuzzy partition
- vague sets
- fuzzy logic
- fuzzy rules
- text classification
- unsupervised learning
- computer vision
- input output
- genetic programming
- least squares
- fuzzy numbers
- feature vectors
- object recognition
- training data
- neural network