DocumentCode
2689525
Title
Probabilistic and fuzzy relational semantic systems in propositional approximate reasoning
Author
Martin, Joseph Aguilar
Author_Institution
LAAS-CRNS, Toulouse, France
fYear
1988
fDate
0-0 1988
Firstpage
205
Lastpage
209
Abstract
The notion of an RSS (relational semantic system) as a set of atomic propositions evaluated in the unit interval and functions representing complementation (negation n) and logical intersection (junctor j) is introduced. This concept is used to determine under what circumstances the models of fuzzy approximate reasoning can be embedded in a probability space. This situation includes most of the classical fuzzy-set-theoretical approaches. A straightforward way of representing the concept of conditioning for most fuzzy measures is obtained.<>
Keywords
artificial intelligence; fuzzy set theory; probability; atomic propositions; complementation; fuzzy relational semantic systems; fuzzy-set-theoretical approaches; logical intersection; probabilistic systems; propositional approximate reasoning; Coherence; Expert systems; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Logic design; Probabilistic logic; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Multiple-Valued Logic, 1988., Proceedings of the Eighteenth International Symposium on
Conference_Location
Palma de Mallorca, Spain
Print_ISBN
0-8186-0859-5
Type
conf
DOI
10.1109/ISMVL.1988.5175
Filename
5175
Link To Document