DocumentCode :
3384490
Title :
On syntactical and semantical approaches to similarity-based approximate reasoning
Author :
Esteva, Francesc ; Garcia-Calves, P. ; Godo, Lluís
Author_Institution :
Inst. d´´Investigacio en Intel-Iigencia Artificial (111A), CSIC, Barcelona, Spain
Volume :
3
fYear :
2001
fDate :
25-28 July 2001
Firstpage :
1598
Abstract :
In this paper, we survey and compare two different logical approaches to similarity-based approximate reasoning that have been proposed recently in the literature. The first one, that may be named "syntactical", is based on attaching similarity degrees directly to pairs of propositions. Such an approach has been followed mainly by M. Ying (1994) and G. Gerla et al. (1998, 2000). A second approach, that may be named "semantical", proposes to attach a similarity relation to a set of possible worlds rather than to propositions. This approach has its roots in works on approximate truth, or "truthlikeness", by I. Niiniluoto (1987), T. Weston (1987) and others in the 1980s, and more recently by E. Ruspini (1991)
Keywords :
inference mechanisms; uncertainty handling; approximate truth; logical approaches; possible worlds; proposition pairs; semantical approach; similarity degrees; similarity relation; similarity-based approximate reasoning; syntactical approach; truthlikeness; Fuzzy logic; Joining processes; Multivalued logic; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
Type :
conf
DOI :
10.1109/NAFIPS.2001.943788
Filename :
943788
Link To Document :
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