Comparison of T-Norms and S-Norms for Interval Type-2 Fuzzy Numbers in Weight Adjustment for Neural Networks.
Fernando GaxiolaPatricia MelinFevrier ValdezOscar CastilloJuan R. CastroPublished in: Inf. (2017)
Keyphrases
- fuzzy numbers
- t norm
- interval valued
- fuzzy sets
- neural network
- fuzzy set theory
- triangular fuzzy numbers
- fuzzy logic
- group decision making
- fuzzy systems
- real numbers
- fuzzy linear programming
- intuitionistic fuzzy sets
- pattern recognition
- aggregation operators
- real valued
- linguistic variables
- multi criteria
- partially ordered
- fuzzy neural network
- membership functions
- rough sets
- global exponential stability
- neuro fuzzy
- fuzzy model
- soft computing
- artificial neural networks
- fault diagnosis
- computer vision
- belief functions
- fuzzy measures
- fuzzy rules
- fuzzy relations
- back propagation
- decision making
- imprecise probabilities