On discovering potential inconsistencies in validating uncertain knowledge bases by reflecting on the input

DOI10.1109/21.108297zbMath0793.68150OpenAlexW2164750239MaRDI QIDQ3985989

Henry L. Larsen, Ronald R. Yager

Publication date: 27 June 1992

Published in: IEEE Transactions on Systems, Man, and Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/21.108297

zbMATH Keywords

knowledge base systems

Mathematics Subject Classification ID

Knowledge representation (68T30) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items (6)

Fuzzy sets in a approximate reasoning. I: Inference with possibility distributions ⋮ A high level net approach for discovering potential inconsistencies in fuzzy knowledge bases ⋮ Radial fuzzy systems ⋮ Contradiction sensitive fuzzy model-based adaptive control ⋮ A synthesis of fuzzy rule-based system verification ⋮ Inference error minimisation: Fuzzy modelling of ambiguous functions

This page was built for publication: On discovering potential inconsistencies in validating uncertain knowledge bases by reflecting on the input