Fuzzy Sets Can Be Interpreted as Limits of Crisp Sets, and This Can Help to Fuzzify Crisp Notions.
Olga KoshelevaVladik KreinovichThavatchai NgamsantivongPublished in: WCSC (2013)
Keyphrases
- fuzzy sets
- membership functions
- rough sets
- fuzzy logic
- fuzzy set theory
- interval valued
- membership degrees
- computational intelligence
- fuzzy numbers
- approximate reasoning
- pattern recognition
- fuzzy sets theory
- fuzzy rules
- approximation spaces
- fuzzy model
- fuzzy entropy
- fuzzy reasoning
- fuzzy clustering
- fuzzy inference
- fuzzy relations
- membership degree
- upper approximation
- linguistic variables
- set theory
- fuzzy information
- interval type fuzzy sets
- granular computing
- rough set theory
- real world
- neural network
- aggregation operators
- real time
- information granules
- soft computing
- decision trees
- fuzzy partition
- fuzzy rough sets
- image processing
- artificial intelligence
- machine learning
- triangular norms