Learning of interval and general type-2 fuzzy logic systems using simulated annealing: theory and practice

INIS

• fuzzy logic 100%
• simulation 50%
• annealing 50%
• modeling 40%
• learning 30%
• levels 10%
• comparative evaluations 10%
• applications 10%
• design 10%
• dimensions 10%
• configuration 10%
• benchmarks 10%

Computer Science

• Fuzzy Logic 90%
• Simulated Annealing 50%
• Modeling 30%
• Real-World Problem 10%
• Fuzzy Set 10%
• Benchmark Problem 10%
• Application Modeling 10%
• Model Uncertainty 10%
• Research System 10%
• Computational Load 10%
• Design 10%