Fuzzy belief networks

Authors:
David F. Clark;Abraham Kandel
Affiliations:
SUS Center for Artificial Intelligence and The Department of Computer Science, Florida State University, Tallahassee, FL;SUS Center for Artificial Intelligence and The Department of Computer Science, Florida State University, Tallahassee, FL
Venue:
SIGSMALL '90 Proceedings of the 1990 ACM SIGSMALL/PC symposium on Small systems
Year:
1990

Citing 2
Cited 1

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Abstract

The most common method for knowledge representation in an expert system is the production rule [Waterman 1986]. Unfortunately, the modularity inherent in a rule-based system is limiting, especially in an uncertain environment [Morawski 1989]. A fuzzy belief network (FBN) provides a more holistic, graphical approach and lends itself well to implementation in expert systems on personal and small computers.