A method for the detection of the most suitable fuzzy implication for data applications.
Panagiotis PagouropoulosChristos D. TzimopoulosBasil K. PapadopoulosPublished in: Evol. Syst. (2020)
Keyphrases
- synthetic data
- detection method
- data sets
- input data
- image data
- prior information
- test data
- missing data
- prior knowledge
- missing values
- high quality
- data analysis
- significant improvement
- data collection
- feature set
- database
- knowledge discovery
- preprocessing
- data mining techniques
- detection algorithm
- data points
- training data
- statistical methods
- noisy data
- fuzzy membership functions
- high accuracy
- support vector machine
- segmentation method
- genetic algorithm
- neural network
- spectral clustering