Title :
On fuzzy association rules based on fuzzy cardinalities
Author :
Bosc, Patrick ; Pivert, Olivier ; Dubois, Didier ; Prade, Henri
Author_Institution :
ENSSAT, IRISA, Lannion, France
fDate :
6/23/1905 12:00:00 AM
Abstract :
The paper discusses the benefit of using fuzzy sets in data summaries based on generalized association rules. Fuzzy sets provide a convenient interface between labels and data and allow for partial belonging to connex but distinct classes. They thus offer a robust reading of the data. Starting with fuzzy partitions of attribute domains which are meaningful for a user, a procedure is described which enables data summaries involving fuzzy quantifiers to be built, by computing fuzzy cardinalities. The difference between this new type of fuzzy summary and previous proposals is also pointed out
Keywords :
data mining; fuzzy logic; fuzzy set theory; attribute domains; connex classes; convenient interface; data summaries; fuzzy association rules; fuzzy cardinalities; fuzzy partitions; fuzzy sets; generalized association rules; partial belonging; Association rules; Data mining; Frequency measurement; Fuzzy logic; Fuzzy sets; Natural languages; Proposals; Relational databases; Robustness;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1007348
