DocumentCode
287997
Title
Probabilistic, fuzzy and evidential reasoning in Fril
Author
Baldwin, J.F.
Author_Institution
Bristol Univ., UK
fYear
1993
fDate
1993
Firstpage
42552
Lastpage
42555
Abstract
Presents a theory of uncertainty relevant to knowledge engineering which is consistent with and brings together the theories of probability and fuzzy sets. This theory is used in the AI language, Fril. This extends the logic programming form of knowledge representation and method of inference to allow for the inclusion of uncertainties of various forms including probabilistic knowledge and fuzzy incompleteness. Fril has application to such general areas of knowledge engineering as expert and decision support systems, evidential and case based reasoning, probabilistic and fuzzy causal nets, fuzzy control, fuzzy databases, intelligent manuals and fuzzy neural net theory
Keywords
fuzzy logic; fuzzy set theory; high level languages; inference mechanisms; knowledge representation; probability; uncertainty handling; AI language; Fril; evidential reasoning; fuzzy incompleteness; fuzzy reasoning; fuzzy sets; knowledge engineering; knowledge representation; probabilistic knowledge; probabilistic reasoning; probability; uncertainty;
fLanguage
English
Publisher
iet
Conference_Titel
Two Decades of Fuzzy Control - Part 2, IEE Colloquium on
Conference_Location
London
Type
conf
Filename
369556
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