Generalized morphisms, a new tool for comparative evaluation of performance of fuzzy implications, t-norms and co-norms in relational knowledge elicitation.
Eunjin KimLadislav J. KohoutPublished in: Fuzzy Sets Syst. (2001)
Keyphrases
- t norm
- comparative evaluation
- knowledge elicitation
- fuzzy sets
- knowledge engineering
- neuro fuzzy
- membership functions
- fuzzy systems
- fuzzy set theory
- domain experts
- weighted average
- expert knowledge
- interval valued
- knowledge acquisition
- relational databases
- fuzzy logic
- aggregation operators
- fuzzy rules
- decision support system
- conditional independence
- domain knowledge
- fuzzy relations
- databases
- neural network
- knowledge based systems
- probability theory
- partially ordered
- knowledge representation
- case based reasoning
- learning algorithm
- machine learning
- learned knowledge