Normalization-Invariant Fuzzy Logic Operations Explain Empirical Success of Student Distributions in Describing Measurement Uncertainty.
Hamza AlkhatibBoris KargollIngo NeumannVladik KreinovichPublished in: NAFIPS (2017)
Keyphrases
- fuzzy logic
- fuzzy control systems
- student success
- confidence intervals
- neural network
- fuzzy sets
- artificial intelligence
- probability distribution
- expert systems
- uncertain data
- computational intelligence
- intelligent tutoring systems
- soft computing
- measurement error
- learning styles
- random variables
- image normalization
- student model
- control system
- theoretical analysis
- neural networks and genetic algorithms
- genetic algorithm
- decision making
- intelligent control
- fuzzy reasoning
- machine learning
- student learning
- fuzzy rules
- affine invariant
- fuzzy inference
- invariant features
- fuzzy logic controller
- fuzzy set theory
- learning process
- membership functions
- fuzzy controller
- online course
- user satisfaction
- evolutionary computation
- rough sets