A high level net approach for discovering potential inconsistencies in fuzzy knowledge bases
From MaRDI portal
Publication:1915279
DOI10.1016/0165-0114(94)90332-8zbMath0846.68097OpenAlexW2035827878MaRDI QIDQ1915279
Heloisa Scarpelli, Fernando Gomide
Publication date: 16 June 1996
Published in: Fuzzy Sets and Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0165-0114(94)90332-8
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Modeling production rules by means of predicate transition networks
- Comparison of fuzzy reasoning methods
- Fuzzy sets as a basis for a theory of possibility
- A high level net approach for discovering potential inconsistencies in fuzzy knowledge bases
- Connectives and quantifiers in fuzzy sets
- Theory of T-norms and fuzzy inference methods
- Fuzzy sets in a approximate reasoning. I: Inference with possibility distributions
- MODELING FUZZY REASONING USING HIGH LEVEL FUZZY PETRI NETS
- On discovering potential inconsistencies in validating uncertain knowledge bases by reflecting on the input
- A fuzzy cognitive structure for pattern recognition
This page was built for publication: A high level net approach for discovering potential inconsistencies in fuzzy knowledge bases