DocumentCode :
1603267
Title :
Logical definition of analogical proportion and its fuzzy extensions
Author :
Miclet, Laurent ; Prade, Henri
Author_Institution :
IRISA/ENSSAT, Univ. de Rennes 1, Lannion
fYear :
2008
Firstpage :
1
Lastpage :
6
Abstract :
An analogical proportion is a statement of the form "A is to B as C is to D". In a logical setting, items A,B,C and D are Boolean vectors. This notion is at the core of analogical reasoning. This paper proposes a sound definition of analogical proportion, based on a logical expression that holds true for each vector component if and only if the analogical proportion holds true. The analogical equation, where D is unknown, is also discussed. The logical expression of the analogical proportion has several equivalent forms, which may lead to distinct extensions when the vector components takes its values in the unit interval, depending on the choice of the multiple-valued connectives. Applications to case-based and approximate reasoning, and to learning are outlined.
Keywords :
Boolean functions; case-based reasoning; fuzzy reasoning; multivalued logic; vectors; Boolean vector; analogical proportion logical definition; analogical reasoning; approximate reasoning; case-based reasoning; fuzzy extension; logical expression; multiple-valued connective; Artificial intelligence; Computer aided software engineering; Equations; Fuzzy logic; Fuzzy reasoning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American
Conference_Location :
New York City, NY
Print_ISBN :
978-1-4244-2351-4
Electronic_ISBN :
978-1-4244-2352-1
Type :
conf
DOI :
10.1109/NAFIPS.2008.4531257
Filename :
4531257
Link To Document :
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